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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JEF</journal-id>
<journal-title-group>
<journal-title>Journal of Economic and Financial Sciences</journal-title>
</journal-title-group>
<issn pub-type="ppub">1995-7076</issn>
<issn pub-type="epub">2312-2803</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JEF-11-166</article-id>
<article-id pub-id-type="doi">10.4102/jef.v11i1.166</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>An audit evidence planning model for the public sector</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-8517-017X</contrib-id>
<name>
<surname>Mentz</surname>
<given-names>Marian</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-6175-9382</contrib-id>
<name>
<surname>Barac</surname>
<given-names>Karin</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-1589-0336</contrib-id>
<name>
<surname>Odendaal</surname>
<given-names>Elza</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Auditing, University of South Africa, South Africa</aff>
<aff id="AF0002"><label>2</label>Department of Auditing, University of Pretoria, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Elza Odendaal, <email xlink:href="odendem@unisa.ac.za">odendem@unisa.ac.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>29</day><month>03</month><year>2018</year></pub-date>
<pub-date pub-type="collection"><year>2018</year></pub-date>
<volume>11</volume>
<issue>1</issue>
<elocation-id>166</elocation-id>
<history>
<date date-type="received"><day>13</day><month>10</month><year>2016</year></date>
<date date-type="accepted"><day>17</day><month>10</month><year>2017</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2018. The Authors</copyright-statement>
<copyright-year>2018</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Orientation</title>
<p>Auditors have to exercise complex, multi-dimensional evidence-planning judgements.</p>
</sec>
<sec id="st2">
<title>Research purpose</title>
<p>Drawing on social closure theory, the aim of this study is to develop a model to inform the flexible exercise of judgement regarding the types, extent and combinations of audit procedures implemented to gather sufficient appropriate audit evidence to respond to the assessed risks of material misstatement.</p>
</sec>
<sec id="st3">
<title>Motivation for the study</title>
<p>The exercise of considerable judgements by auditors may mean that little consistency is achieved regarding the quantity and quality of the audit evidence obtained, especially in the public sectors of developing countries (which are often plagued by corruption), and where auditors and auditees have limited skills and experience.</p>
</sec>
<sec id="st4">
<title>Research approach, design and method</title>
<p>The study employs a theory-building approach to develop a model intended to guide public sector auditors (following an audit risk approach), to exercise planning judgements for a class of transactions, account balance and/or disclosure.</p>
</sec>
<sec id="st5">
<title>Main findings</title>
<p>The model clarifies the audit evidence decision-making sequences, inter-relationships and contingent dependencies of the different audit procedures, and quantifies the compensatory inter-relationships between the types of audit procedures to be performed and the overall levels of assurance desired in response to the assessed risks of material misstatement.</p>
</sec>
<sec id="st6">
<title>Practical and managerial implications</title>
<p>The model could aid public sector auditors to reduce uncertainty, ambiguity and judgement errors during their planning decision-making.</p>
</sec>
<sec id="st7">
<title>Contribution or value-add</title>
<p>The model has been incorporated into the audit methodology of the Auditor-General of South Africa, and has been assessed for compliance with the International Standards on Auditing by the Independent Regulatory Board for Auditors in South Africa.</p>
</sec>
</abstract>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Skills development is a fundamental necessity in developing countries, as it is central to capability enhancement and industrialisation, both of which ultimately increase national prosperity (Edigheji <xref ref-type="bibr" rid="CIT0037">2010</xref>). South Africa continues to experience a pervasive skills shortage, both as a legacy of apartheid and as a result of ongoing dysfunctionality in its education system (Akoojee <xref ref-type="bibr" rid="CIT0004">2010</xref>). This skills shortage continues to complicate the South African labour market, where most public sector employees lack appointment-appropriate experience (Koelble &#x0026; Siddle <xref ref-type="bibr" rid="CIT0081">2014</xref>), necessitating the use of private-sector consultants (Wenzel <xref ref-type="bibr" rid="CIT0118">2007</xref>).</p>
<p>The skills shortage and transformation challenges are closely interrelated and reverberate throughout the South African accounting profession, where the processes of closure on the basis of race and class are still prevalent (Barac <xref ref-type="bibr" rid="CIT0013">2015</xref>; Hammond, Clayton &#x0026; Arnold <xref ref-type="bibr" rid="CIT0048">2009</xref>; <xref ref-type="bibr" rid="CIT0049">2012</xref>). There is a shortage of professional accountants and auditors in the South African public sector, which emphasises the skills training needs of the public sector (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>). Despite these challenges, South Africa has maintained its number one ranking for the strength of its Auditing and Reporting Standards for the sixth successive year according to the World Economic Forum&#x2019;s (WEF) Global Competitiveness Index for 2015&#x2013;2016 (WEF <xref ref-type="bibr" rid="CIT0123">2015b</xref>).</p>
<p>Drawing on social closure theory and the above-mentioned paradox creates an interesting background for this study, which presents a model that is able to guide public sector auditors in the exercise of planning judgement for a class of transactions, account balance and/or disclosure. Such a model [referred to as an integrated evidence planning model (IEPM)] allows for an audit structure that is &#x2018;a mechanistic approach to decision making that constrains the range of actions available to individual auditors in specific circumstances&#x2019; (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>:386). By following a structured audit approach, auditors try to reduce the risk of serious errors in judgement within the audit process (Knechel <xref ref-type="bibr" rid="CIT0078">2000</xref>) and thereby reduce the uncertainties and ambiguities surrounding the performance of the responsibilities of inexperienced or unskilled professionals (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>). Although the literature review identifies that today&#x2019;s auditors are resisting formalism and structure in favour of a business risk audit approach (Abdullatif &#x0026; Al-Khadash <xref ref-type="bibr" rid="CIT0001">2010</xref>; Khalifa et al. <xref ref-type="bibr" rid="CIT0072">2007</xref>; Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>), such a structured approach could aid public sector auditors in South Africa to sidestep both their own skills limitations and those of their auditees (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>) when exercising judgement during their audit planning decision-making. The same applies in other developing countries where public sector auditors (also referred to as Supreme Audit Institutions [SAIs]) are faced with endemic limitations in skills which inhibit their performance of the tasks expected of a modern auditor (UN <xref ref-type="bibr" rid="CIT0115">2007</xref>). Sound auditor judgement is fundamental to the strengthening of public sector transparency and accountability (Iyoha &#x0026; Oyerinde <xref ref-type="bibr" rid="CIT0068">2010</xref>; Kayrak <xref ref-type="bibr" rid="CIT0071">2008</xref>) in developing countries as these countries are often plagued by corruption (ACFE <xref ref-type="bibr" rid="CIT0010">2014</xref>; Desta <xref ref-type="bibr" rid="CIT0035">2006</xref>; Pillay <xref ref-type="bibr" rid="CIT0100">2004</xref>; Transparency International <xref ref-type="bibr" rid="CIT0112">2014</xref>). It has become axiomatic that the sustainable economic development of these countries is impacted by weak accounting and auditing capabilities, and the consequential high incidence of financial mismanagement in public sectors (Iyoha &#x0026; Oyerinde <xref ref-type="bibr" rid="CIT0068">2010</xref>).</p>
<p>An auditor should obtain sufficient appropriate audit evidence to reduce audit risk to an acceptably low level; this will then enable him to draw reasonable conclusions on which the audit opinion can be based (Causholli &#x0026; Knechel <xref ref-type="bibr" rid="CIT0024">2012</xref>; Hayes <xref ref-type="bibr" rid="CIT0050">2007</xref>; Perry <xref ref-type="bibr" rid="CIT0099">2011</xref>; Schmutte &#x0026; Duncan <xref ref-type="bibr" rid="CIT0106">2009</xref>). Thus, the assessment of the risks of material misstatement informs the audit evidence planning decisions (Blay, Kizirian &#x0026; Sneather <xref ref-type="bibr" rid="CIT0017">2008</xref>; Fogarty, Graham &#x0026; Schubert <xref ref-type="bibr" rid="CIT0042">2007</xref>; IAASB <xref ref-type="bibr" rid="CIT0061">2015c</xref>; <xref ref-type="bibr" rid="CIT0063">2015e</xref>). Despite the importance of audit evidence planning considerations, previous studies have not shown a clear relationship between evidence planning and the extent of testing on one hand, and the level of or changes in risks on the other hand (De Martinis, Fukukawa &#x0026; Mock <xref ref-type="bibr" rid="CIT0033">2011</xref>; Elder &#x0026; Allen <xref ref-type="bibr" rid="CIT0039">2003</xref>; Fukukawa, Mock &#x0026; Wright <xref ref-type="bibr" rid="CIT0045">2006</xref>; Hogan &#x0026; Wilkins <xref ref-type="bibr" rid="CIT0053">2008</xref>; Johnstone &#x0026; Bedard <xref ref-type="bibr" rid="CIT0070">2001</xref>; Luo <xref ref-type="bibr" rid="CIT0086">2011</xref>; Seidel <xref ref-type="bibr" rid="CIT0107">2014</xref>); nor have they addressed the question of how to combine or aggregate evidence from different sources (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>; Srinidhi &#x0026; Vasarhelyi <xref ref-type="bibr" rid="CIT0109">1986</xref>; Turley &#x0026; Cooper <xref ref-type="bibr" rid="CIT0114">1991</xref>) in order to reach a final audit opinion. Although the International Standards on Auditing (ISAs) provide some guidance to assist the auditor in deciding the sufficiency and appropriateness of audit evidence to be obtained, they do not dictate exactly how much evidence needs to be gathered, nor the quality thereof (Perry <xref ref-type="bibr" rid="CIT0099">2011</xref>). The basis for determining &#x2018;sufficient appropriate evidence&#x2019; is therefore determined by the professional judgement of the auditor, which may mean that there is little consistency regarding the quantity and quality of the audit evidence obtained (Perry <xref ref-type="bibr" rid="CIT0099">2011</xref>), especially where auditors are inexperienced or lack the necessary skills. Recent research indicates that audit quality is not improving in areas where the auditor needs to apply judgement (Kleinman, Lin &#x0026; Palomon <xref ref-type="bibr" rid="CIT0077">2014</xref>). Consequently, there is a need to develop and communicate overarching principles to guide auditors making these decisions. This is in line with the aforementioned objective of this study.</p>
<p>The remainder of the article is organised as follows. In the next section, social closure theory, as the theoretical underpinning of this study, is explained. This is followed by an explanation of the research method and the context of the study. The building blocks of the model are explained next, with particular reference to the literature on the exercising of judgement by the auditor when planning the audit. Then the suggested model, intended to guide public sector auditors when exercising planning judgement, is presented. In the final section, a conclusion is reached and areas for future research are identified.</p>
</sec>
<sec id="s0002">
<title>Social closure theory</title>
<p>Social closure theory, based on the work of Weber, is used to analyse social stratification processes (Murphy <xref ref-type="bibr" rid="CIT0095">1984</xref>). This theory posits that one group monopolises advantages by closing off opportunities to another group, deemed to be &#x2018;outsiders&#x2019; (Malsch, Gendron &#x0026; Grazzini <xref ref-type="bibr" rid="CIT0088">2011</xref>:201). The apartheid laws in South Africa serve as an example of the effective application (and institutionalisation) of the principle of exclusion (Murphy <xref ref-type="bibr" rid="CIT0095">1984</xref>). Even though statutory apartheid was abolished in 1994, there is still evidence of &#x2018;widespread de facto segregation&#x2019; in the post-apartheid era (Dixon et al. <xref ref-type="bibr" rid="CIT0036">2010</xref>:405). This manifests as workplace inequality and discrimination, is based on race and results in professional closure (Dixon et al. <xref ref-type="bibr" rid="CIT0036">2010</xref>). The situation reflects the imbalances within the South African education system (Mdepa &#x0026; Tshiwula <xref ref-type="bibr" rid="CIT0090">2012</xref>). The legacy and echoes of apartheid are thus still reflected in South Africa&#x2019;s ongoing skill shortages (Akinyemi <xref ref-type="bibr" rid="CIT0003">2010</xref>). Exclusion based on skill shortages is a product of the entire education sector that is still undergoing transformation. South Africa&#x2019;s past continues to hinder certain students from accessing and participating in the higher education sector, and many students arrive at higher education institutions underprepared for their studies (Mdepa &#x0026; Tshiwula <xref ref-type="bibr" rid="CIT0090">2012</xref>; Pym &#x0026; Kapp <xref ref-type="bibr" rid="CIT0101">2013</xref>; Sartorius &#x0026; Sartorius <xref ref-type="bibr" rid="CIT0105">2013</xref>). An assessment of the quality of mathematics and science education in South African schools, published in the Global Information Technology Report 2015, ranks South Africa in last position (mathematics) and close-to-last (science) (respectively 139th and 143rd of the 143 countries surveyed): when looking at the overall quality of South Africa&#x2019;s education system, this serves as a clear indication of the magnitude of this problem (WEF <xref ref-type="bibr" rid="CIT0122">2015a</xref>).</p>
<p>Professional closure is a particular genre of social closure (Chua &#x0026; Poullaos <xref ref-type="bibr" rid="CIT0028">1993</xref>; Hammond et al. <xref ref-type="bibr" rid="CIT0049">2012</xref>; Kim <xref ref-type="bibr" rid="CIT0073">2004</xref>; Lee <xref ref-type="bibr" rid="CIT0083">2010</xref>; Macdonald <xref ref-type="bibr" rid="CIT0087">1984</xref>; Verhoef <xref ref-type="bibr" rid="CIT0116">2013</xref>) which was initially based on class, gender, race and social differentiations (Annisette <xref ref-type="bibr" rid="CIT0008">2003</xref>; Cooper &#x0026; Robson <xref ref-type="bibr" rid="CIT0030">2006</xref>). More recently, professional closure has come to embody exclusion based on education and professional credentials (Annisette <xref ref-type="bibr" rid="CIT0007">1999</xref>; Bonnin &#x0026; Ruggunan <xref ref-type="bibr" rid="CIT0019">2013</xref>). Through accredited education programmes, stringent examinations, prescribed practical training and the registration or licensing of those then deemed worthy of being called professional practitioners, closure or exclusion continues to be held in place in today&#x2019;s South African accounting profession (Heathcote <xref ref-type="bibr" rid="CIT0051">2012</xref>). Indications are that, even in post-apartheid South Africa, the professional closure of the South African accounting profession continues because of difficulties experienced by previously disadvantaged persons to acquire the academic education (South Africa&#x2019;s education system remains largely dysfunctional, as previously mentioned) and professional credentials necessary to enter the profession (Barac <xref ref-type="bibr" rid="CIT0013">2015</xref>). The shortage of professional accountants and auditors is especially apparent in the South African public sector (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>). This is reflected in the membership statistics of the South African Institute of Chartered Accountants (SAICA): of its 32 079 members, only 1415 (4&#x0025;) members work in the public sector, and of the 10 189 members practicing as auditors, only 584 (6&#x0025;) are in the public sector (SAICA <xref ref-type="bibr" rid="CIT0108">2016</xref>).</p>
</sec>
<sec id="s0003">
<title>Research method</title>
<p>This study employs a theory-building approach (Strauss &#x0026; Corbin <xref ref-type="bibr" rid="CIT0110">2008</xref>) to develop a model capable of guiding public sector auditors in the exercise of their planning judgement decisions for a class of transactions, account balance and/or disclosure. This study critically analyses and interprets the various relevant principles and concepts emerging from the literature (Leedy &#x0026; Ormrod <xref ref-type="bibr" rid="CIT0084">2014</xref>) and then systematically links and integrates them in successive stages through the application of inductive reasoning, deliberate thinking and logical interpreting to construct the IEPM that quantifies (explains) the extent of audit evidence required to support a desired outcome.</p>
</sec>
<sec id="s0004">
<title>Context of the study</title>
<p>The model reported on in this article was developed for incorporation into the audit methodology used by the Auditor-General of South Africa (AGSA) (Mentz <xref ref-type="bibr" rid="CIT0091">2014</xref>). In terms of the Constitution of the Republic of South Africa (Act No. 108 of 1996), the AGSA acts as the external auditor of all national and provincial state departments, public entities, municipalities and any other institutions required by legislation to be audited by the AGSA (RSA <xref ref-type="bibr" rid="CIT0102">1996</xref>). The AGSA has to submit audit reports to any legislature that has a direct interest in the audit outcome, and to any other authority prescribed by national legislation; in addition, all reports must be made public (RSA <xref ref-type="bibr" rid="CIT0102">1996</xref>). The functions of the AGSA are described in section 188 of the Constitution; it is furthermore subject to the requirements of the <italic>Public Audit Act</italic> (Act No. 25 of 2004) (PAA), which mandates the AGSA to perform constitutionally required audits and other functions (RSA <xref ref-type="bibr" rid="CIT0103">2004</xref>).</p>
<p>The AGSA&#x2019;s staff complement, including trainee auditors and short-term contractors, was 3435 on 31 March 2015. Their focus is mainly on the performance of financial audits, performance audits, audits of performance information and audits of compliance with legislation (AGSA <xref ref-type="bibr" rid="CIT0011">2015a</xref>). Even though the AGSA experiences a scarcity of skills in some areas, by recruiting 1126 employees in 2014&#x2013;2015 (33&#x0025; of the full staff complement is thus relatively inexperienced) it manages to ensure that the institution&#x2019;s staffing levels are adequate for effective performance of its statutory and other duties (AGSA <xref ref-type="bibr" rid="CIT0011">2015a</xref>). The organisation has, over the past years, managed to significantly increase the number of qualified audit professionals that make up its staff complement (in 2015, 547 staff members were chartered accountants [the SAICA website on 31 March 2016 reported this as 584 chartered accountants (SAICA <xref ref-type="bibr" rid="CIT0108">2016</xref>)]). Thus, 16&#x0025; of the staff could practice as private sector auditors (AGSA <xref ref-type="bibr" rid="CIT0011">2015a</xref>).</p>
<p>In terms of the PAA, the AGSA determines the standards and methodology applied in audits of public sector entities (RSA <xref ref-type="bibr" rid="CIT0103">2004</xref>). The AGSA is one of a few SAIs in the world that has fully implemented the ISAs (AGSA <xref ref-type="bibr" rid="CIT0011">2015a</xref>). Although having no legal oversight role over the AGSA, the Independent Regulatory Board for Auditors (IRBA) in South Africa reviews and provides credibility to the internal quality control monitoring process the AGSA uses (this is also performed at the individual private sector firm level) (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>). That the IEPM adheres to the ISA&#x2019;s requirements is confirmed by the fact that the model has been incorporated into the audit methodology of the AGSA, and this methodology has been successfully assessed for compliance with the ISAs through a monitoring inspection performed by the IRBA (Mentz <xref ref-type="bibr" rid="CIT0091">2014</xref>).</p>
<p>The World Bank (<xref ref-type="bibr" rid="CIT0121">2013</xref>) reported significant skills shortages in the South African public sector (auditees of the AGSA), which also manifests as a shortage of skills available to support financial management roles in public sector entities. Internal capacity constraints and high vacancy rates sometimes lead public sector entities to appoint consultants to support the continuity of service delivery, a practice which the World Bank (<xref ref-type="bibr" rid="CIT0121">2013</xref>) considers a main cause of consistently poor audit outcomes in the three tiers of government. For example, 17&#x0025; of the 325 auditees at local government level (268 municipalities and 57 municipal entities) received unqualified audit reports with no findings in the 2013 and 2014 financial year. For the 2012 and 2013 financial year, this percentage amounted to 9&#x0025; and 5&#x0025; for the 2011 and 2012 financial year (AGSA <xref ref-type="bibr" rid="CIT0012">2015b</xref>). Even though since 2011 and 2012 the number of municipalities and municipal entities achieving what is commonly called a &#x2018;clean audit&#x2019; has more than tripled, and a quarter of all public departments and entities have attained a clean audit status, these audit outcomes remain areas of concern (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>).</p>
</sec>
<sec id="s0005">
<title>Building the model to guide public sector auditors when exercising planning judgement</title>
<sec id="s20006">
<title>Introduction</title>
<p>This article reports on a model developed to guide public sector auditors when required to exercise planning judgement for a class of transactions, account balance and/or disclosure. In the following sections, the steps to be followed (identified as seven building blocks) to construct the IEPM are discussed. This is performed in the context of recently published literature.</p>
</sec>
<sec id="s20007">
<title>Risk assessment and materiality</title>
<p>In terms of the ISAs (IAASB <xref ref-type="bibr" rid="CIT0061">2015c</xref>), the auditor should obtain (or be in possession of) an understanding of the entity and its environment, and should then use his knowledge to assess the risks of material misstatement at both the overall financial statement level and at assertion level for all classes of transactions, account balances and disclosures. In planning and executing the audit, the auditor should focus on those areas of the financial statements where the risk of misstatement is the greatest (Bowlin <xref ref-type="bibr" rid="CIT0020">2011</xref>; Fogarty, Graham &#x0026; Schubert <xref ref-type="bibr" rid="CIT0041">2006</xref>). The risk assessment phase of the audit is therefore an integral part of evidence gathering as it directs the auditor&#x2019;s attention to issues that require further investigation (Fogarty et al. <xref ref-type="bibr" rid="CIT0041">2006</xref>). Risk assessment is the &#x2018;descriptive lens&#x2019; (Budescu, Peecher &#x0026; Solomon <xref ref-type="bibr" rid="CIT0022">2012</xref>:19) by which auditors plan and execute the audit. However, when planning the audit approach and selecting the most appropriate audit evidence-gathering mix, the auditor should keep efficiency and effectiveness considerations in mind (El-Masry &#x0026; Hansen <xref ref-type="bibr" rid="CIT0040">2008</xref>; Hayes <xref ref-type="bibr" rid="CIT0050">2007</xref>). During the audit a continuous, dynamic and recursive process of risk assessment is followed, with a corresponding update to the risk response that the auditor implements, to obtain sufficient appropriate audit evidence (Bell, Peecher &#x0026; Solomon <xref ref-type="bibr" rid="CIT0015">2005</xref>; IAASB <xref ref-type="bibr" rid="CIT0061">2015c</xref>).</p>
<p>The risk-based approach also improves audit quality in that it guides the determination of what constitutes a sufficient and appropriate audit response to the auditor&#x2019;s understanding and assessment of client risks (De Martinis et al. <xref ref-type="bibr" rid="CIT0033">2011</xref>; Knechel et al. <xref ref-type="bibr" rid="CIT0080">2013</xref>). Thus, the risk-based audit approach encapsulates the deduction that audit efficiency and effectiveness (and thus ultimately audit quality) are determined by an appropriate and sufficient response to the auditor&#x2019;s understanding and assessment of the client&#x2019;s risks, when he is obtaining audit evidence.</p>
<p>Materiality is pervasive throughout the audit process, from planning the audit to evaluating the results of audit testing when formulating the audit opinion (Del Corte, Garc&#x00ED;a &#x0026; Laviada <xref ref-type="bibr" rid="CIT0034">2010</xref>). The auditor&#x2019;s determination of what is &#x2018;material&#x2019; is a matter of professional judgement (Houghton, Jubb &#x0026; Kend <xref ref-type="bibr" rid="CIT0056">2011</xref>; IAASB <xref ref-type="bibr" rid="CIT0059">2015a</xref>). As the auditor&#x2019;s judgement of materiality should be influenced by the needs of the users of the financial statements, materiality judgements must be accommodating of surrounding circumstances and must consequently involve both quantitative and qualitative considerations (Houghton et al. <xref ref-type="bibr" rid="CIT0056">2011</xref>; IAASB <xref ref-type="bibr" rid="CIT0062">2015d</xref>). Such a multi-faceted approach to materiality assessment is well supported by researchers and regulatory bodies (Acito, Burks &#x0026; Johnson <xref ref-type="bibr" rid="CIT0002">2009</xref>; Del Corte et al. <xref ref-type="bibr" rid="CIT0034">2010</xref>; IAASB <xref ref-type="bibr" rid="CIT0062">2015d</xref>, <xref ref-type="bibr" rid="CIT0064">2015f</xref>.; Zabel &#x0026; Benjamin <xref ref-type="bibr" rid="CIT0124">2002</xref>).</p>
<p>In line with the Conceptual Framework for Financial Reporting (IASB <xref ref-type="bibr" rid="CIT0058">2015</xref>), the ISAs consider misstatements in the financial statements to be material if they individually or as a whole influence the economic decisions of users of the financial statements (IAASB <xref ref-type="bibr" rid="CIT0062">2015d</xref>). During the planning stage, the auditor&#x2019;s judgement regarding materiality influences the level (both in quantity and quality) of evidence to be collected in order to support the audit opinion (IAASB <xref ref-type="bibr" rid="CIT0062">2015d</xref>; Messier, Martinov-Bennie &#x0026; Eilifsen <xref ref-type="bibr" rid="CIT0093">2005</xref>). The extent of audit evidence required to obtain reasonable assurance that the financial statements do not contain a material misstatement varies inversely with the auditor&#x2019;s materiality judgement (Blokdijk, Drieenhuizen &#x0026; Dan <xref ref-type="bibr" rid="CIT0018">2003</xref>):</p>
<disp-quote>
<p><bold>First building block:</bold> Based on a risk assessment at the overall financial statement level, perform a risk assessment at assertion level for classes of transactions, account balances and disclosures, and distinguish between two risk categories, namely, &#x2018;significant&#x2019; and &#x2018;non-significant&#x2019;.</p>
<p><bold>Second building block (a):</bold> Based on a &#x2018;significant&#x2019; risk assessment at the overall financial statement level, consider the classes of transactions, account balances and disclosures as &#x2018;material&#x2019; and identify the risk level as &#x2018;significant&#x2019;.</p>
<p><bold>Second building block (b):</bold> Based on a &#x2018;non-significant&#x2019; risk assessment at the overall financial statement level, determine whether the classes of transactions, account balances and disclosures are material, and identify the risk level as &#x2018;standard&#x2019; for material and &#x2018;slight&#x2019; for non-material.</p>
</disp-quote>
</sec>
<sec id="s20008">
<title>Combination of audit procedures</title>
<p>Audit evidence planning requires the exercise of professional judgement when determining the types of procedures to be performed during the course of the audit. Assurance may be drawn from tests of controls and substantive procedures, with the latter providing a further choice between analytical procedures and tests of details. While tests of controls and tests of details focus on the individual control activities and transactions that result in the recorded financial statement amounts (Akresh <xref ref-type="bibr" rid="CIT0005">2010</xref>; Kinney <xref ref-type="bibr" rid="CIT0074">1979</xref>), analytical procedures do not consider the details of the individual transactions that comprise the recorded amount (Brewster <xref ref-type="bibr" rid="CIT0021">2011</xref>; D&#x0103;nescu &#x0026; Sp&#x0103;t&#x0103;cean <xref ref-type="bibr" rid="CIT0032">2009</xref>; Glover et al. <xref ref-type="bibr" rid="CIT0046">2005</xref>; Messier, Simon &#x0026; Smith <xref ref-type="bibr" rid="CIT0094">2013</xref>).</p>
<p>The auditor&#x2019;s assessment of the risks of material misstatement, based on his or her understanding of the entity&#x2019;s internal controls, provides an indication of whether or not the controls are properly designed, implemented and/or if they are operating effectively (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>). That is, the results of the risk assessment procedures require the auditor to exercise judgement as to whether or not to test the operating effectiveness of controls by performing tests of controls, thereby determining the nature, timing and extent of substantive procedures. The basic audit approach alternatives are either to perform tests of controls [and thereby limit substantive procedures (a combined approach)] or to perform only substantive procedures (a substantive approach). (The exception is that a combined approach is compulsory when an entity conducts its business using information technology [IT] and no documentation of transactions are produced or maintained, other than through the IT system [IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>]). It provides the auditor with six different combinations of procedures to gather audit evidence, as depicted in <xref ref-type="table" rid="T0001">Table 1</xref>.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Audit procedure combinations.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Types of procedures</th>
<th valign="top" align="center" colspan="6">Audit evidence gathering approaches<hr/></th>
</tr>
<tr>
<th valign="top" align="center" colspan="3">Combined approaches<hr/></th>
<th valign="top" align="center" colspan="3">Substantive approaches<hr/></th>
</tr>
<tr>
<th valign="top" align="left">Approach 1</th>
<th valign="top" align="left">Approach 2</th>
<th valign="top" align="left">Approach 3</th>
<th valign="top" align="left">Approach 4</th>
<th valign="top" align="left">Approach 5</th>
<th valign="top" align="left">Approach 6</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Tests of controls</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Analytical procedures</td>
<td align="left">Yes</td>
<td align="left">-</td>
<td align="left">Yes</td>
<td align="left">Yes<xref ref-type="table-fn" rid="TFN0001"><sup>&#x2020;</sup></xref></td>
<td align="left">-</td>
<td align="left">Yes</td>
</tr>
<tr>
<td align="left">Tests of details</td>
<td align="left">-</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="left">-</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0001"><label>&#x2020;</label><p>, This approach cannot be employed where the risk of material misstatement is significant (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>As substantive procedures must always be performed for each material class of transactions, account balance and disclosure (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>), performing tests of controls is generally more efficient and effective only if the audit time and effort saved by limiting substantive procedures exceeds the time and effort spent in performing the tests of controls, or if the tests of controls provide assurance on more than one assertion, class of transactions, account balance or disclosure (O&#x2019;Reilly et al. <xref ref-type="bibr" rid="CIT0098">1999</xref>). The preference for the performance of extensive substantive procedures (when the auditor judges testing controls to be inefficient and ineffective) is supported both by the literature (AICPA <xref ref-type="bibr" rid="CIT0006">2008</xref>; Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>) and the ISAs (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>).</p>
<p>The auditor should also decide on the mix of analytical procedures and tests of details that is most efficient and effective in obtaining the full extent of audit evidence required to reduce audit risk to an acceptable level. Although analytical procedures commonly provide an efficient means of obtaining assurance (Cho &#x0026; Lew <xref ref-type="bibr" rid="CIT0026">2000</xref>; Lin &#x0026; Fraser <xref ref-type="bibr" rid="CIT0085">2003</xref>; Trompeter &#x0026; Wright <xref ref-type="bibr" rid="CIT0113">2010</xref>), they are generally more applicable to large volumes of transactions that tend to be predictable over time (IAASB <xref ref-type="bibr" rid="CIT0065">2015g</xref>). The literature has also shown that auditors are reluctant to apply them because they regard them as costly and time-consuming (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>; Wang &#x0026; Cuthbertson <xref ref-type="bibr" rid="CIT0117">2014</xref>). In contrast, tests of details are typically more effective in providing a higher level of assurance, even if they are less efficient (Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>). In a recent study, Christensen, Elder and Glover (<xref ref-type="bibr" rid="CIT0027">2015</xref>) found that auditors rely heavily on tests of details than on other types of substantive procedures such as analytical procedures. Evidence planning requires the exercise of judgement regarding the inter-relationships between the different types of audit procedures (tests of controls, tests of details and analytical procedures) that are performed in response to the assessed risks. The auditor will reconsider the mix of audit procedures when audit tests yield unsatisfactory results (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>).</p>
<disp-quote>
<p><bold>Third building block:</bold> Based on the risk assessment at assertion level for classes of transactions, account balances and disclosures, identify the appropriate audit approach (combined or substantive):</p>
<list list-type="bullet">
<list-item><p>Significant risk level &#x2013; employ a combined approach (test of controls and substantive tests [tests of details and analytical procedures]) or substantive approach (tests of details and analytical procedures).</p></list-item>
<list-item><p>Standard risk level &#x2013; employ a combined approach or substantive approach (as described above).</p></list-item>
<list-item><p>Slight risk level &#x2013; employ a substantive approach (substantive tests [tests of details and analytical procedures]).</p></list-item>
</list>
</disp-quote>
</sec>
<sec id="s20009">
<title>Relating types of audit procedures with levels of audit risk or assurance</title>
<p>The nature and extent of audit evidence gathered by the auditor should be related to the level of assurance that is deemed sufficient to reduce the risk of expressing an inappropriate opinion to an acceptable low level (IAASB <xref ref-type="bibr" rid="CIT0060">2015b</xref>). Thus, during planning, the auditor should decide on an overall level of assurance desired or, alternatively, an overall level of audit risk that is acceptable. For a targeted overall level of assurance (or overall audit risk level) for a particular class of transactions, account balance, disclosure or assertion, there exists a compensatory relationship between the extent and types of audit procedures such that as more assurance is obtained from one type, less assurance is required from other types (Arens, Elder &#x0026; Beasley <xref ref-type="bibr" rid="CIT0009">2012</xref>; Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>; IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>).</p>
<p>Hooks (<xref ref-type="bibr" rid="CIT0055">2011</xref>) states that planning is simplified if audit firms have guidelines regarding the level of audit risk they are willing to accept. Some firms express these risks using terms like &#x2018;high&#x2019;, &#x2018;moderate&#x2019; and &#x2018;low&#x2019; or &#x2018;substantial&#x2019;, &#x2018;moderate&#x2019; and &#x2018;little&#x2019;, rather than using estimates of risk expressed as percentages (AICPA <xref ref-type="bibr" rid="CIT0006">2008</xref>; Elder &#x0026; Allen <xref ref-type="bibr" rid="CIT0039">2003</xref>). However, quantitative expressions of risks or levels of assurance are expected to provide more meaningful measures and to contribute to more consistent communications within audit teams. This leads to more effective quality control, thereby potentially bringing about more efficient and effective audits (Fukukawa &#x0026; Mock <xref ref-type="bibr" rid="CIT0044">2011</xref>). To this end, Eilifsen et al. (<xref ref-type="bibr" rid="CIT0038">2010</xref>) recommend a percentage interval of 90&#x0025; &#x2013; 95&#x0025; for a high level of assurance, 80&#x0025; &#x2013; 85&#x0025; for a moderate level of assurance and 70&#x0025; &#x2013; 75&#x0025; for a low level of assurance, while the audit sampling guide issued by the AICPA (<xref ref-type="bibr" rid="CIT0006">2008</xref>) recommends 95&#x0025; for a high level of assurance, 86&#x0025; for a moderate level of assurance and 63&#x0025; for a low level of assurance. Although the audit sampling guide issued by the AICPA is not authoritative under the ISAs issued by the IAASB, it is well accepted in practice (Hall, Hunton &#x0026; Pierce <xref ref-type="bibr" rid="CIT0047">2002</xref>; Hoogduin, Hall &#x0026; Tsay <xref ref-type="bibr" rid="CIT0054">2010</xref>). However, while the AICPA guidance does not assign descriptors to the risks and levels of assurance, when applying the AICPA guidelines, the IEPM assumes three distinct risk levels that imply three corresponding levels of assurance. This is illustrated in the fourth building block:</p>
<disp-quote>
<p><bold>Fourth building block:</bold> Allocate an appropriate level of assurance (with a corresponding assurance factor) for a class of transactions, account balance or disclosure based on the identified risk level:</p>
<list list-type="bullet">
<list-item><p>Slight risk level: Slight (63&#x0025;) level of assurance with a 37&#x0025; acceptable level of audit risk = assurance factor 1:
<disp-quote>
<p>If the class of transactions, account balance or disclosure is not material by value and/or nature and does not require special audit consideration to respond to the assessed risk of material misstatement at the assertion level, this is the level of audit evidence that should be obtained.</p>
</disp-quote></p></list-item>
<list-item><p>Standard risk level: Standard (86&#x0025;) level of assurance with a 14&#x0025; acceptable level of audit risk = assurance factor 2:
<disp-quote>
<p>A standard level of audit evidence is needed if the class of transactions, account balance or disclosure is material by value and/or nature and does not require special audit consideration to respond to the assessed risk of material misstatement at the assertion level.</p>
</disp-quote></p></list-item>
<list-item><p>Significant risk level: Significant (95&#x0025;) level of assurance with a 5&#x0025; acceptable level of audit risk = assurance factor 3:
<disp-quote>
<p>This is the level of audit evidence that is required if the class of transactions, account balance or disclosure is material by value and/or nature and, in the auditor&#x2019;s judgement, requires special audit consideration to respond to the assessed risk of material misstatement at the assertion level.</p>
</disp-quote></p></list-item>
</list>
<p><bold>Fifth building block:</bold> Relate the assurance factor (1, 2 or 3) to the extent of assurance obtainable from the different audit evidence gathering combinations of tests of controls, tests of details and analytical procedures.</p>
</disp-quote>
<p>By combining building blocks 1&#x2013;5, a quantified audit evidence mix matrix, depicted in <xref ref-type="table" rid="T0002">Table 2</xref>, is achieved.</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Quantified audit evidence mix matrix.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Types of procedures</th>
<th valign="top" align="center" colspan="8">Assurance factor 3<hr/></th>
<th valign="top" align="center" colspan="5">Assurance factor 2<hr/></th>
<th colspan="2" rowspan="2">Assurance factor 1: Substantive approach<hr/></th>
</tr>
<tr>
<th valign="top" align="center" colspan="5">Combined approach<hr/></th>
<th valign="top" align="center" colspan="3">Substantive approach<hr/></th>
<th valign="top" align="center" colspan="2">Combined approach<hr/></th>
<th valign="top" align="center" colspan="3">Substantive approach<hr/></th>
</tr>
<tr>
<th valign="top" align="center">Evidence mix 1</th>
<th valign="top" align="center">Evidence mix 2</th>
<th valign="top" align="center">Evidence mix 3</th>
<th valign="top" align="center">Evidence mix 4</th>
<th valign="top" align="center">Evidence mix 5</th>
<th valign="top" align="center">Evidence mix 6</th>
<th valign="top" align="center">Evidence mix 7</th>
<th valign="top" align="center">Evidence mix 8</th>
<th valign="top" align="center">Evidence mix 9</th>
<th valign="top" align="center">Evidence mix 10</th>
<th valign="top" align="center">Evidence mix 11</th>
<th valign="top" align="center">Evidence mix 12</th>
<th valign="top" align="center">Evidence mix 13</th>
<th valign="top" align="center">Evidence mix 14</th>
<th valign="top" align="center">Evidence mix 15</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Tests of controls</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Analytical procedures</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Tests of details</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left">Overall level of assurance</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left">Level of assurance (&#x0025;)</td>
<td align="left" colspan="8">Significant (95&#x0025;)</td>
<td align="left" colspan="5">Standard (86&#x0025;)</td>
<td align="left" colspan="2">Slight (63&#x0025;)</td>
</tr>
<tr>
<td align="left">Level of risk</td>
<td align="left" colspan="8">Significant (5&#x0025;)</td>
<td align="left" colspan="5">Standard (14&#x0025;)</td>
<td align="left" colspan="2">Slight (37&#x0025;)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The above mathematical audit evidence mix matrix quantifies the individual overall levels of assurance (significant, standard and slight) corresponding with assurance factors 3, 2 and 1. This is also quantitatively related to the extent of assurance obtainable from the different audit evidence gathering combinations, and numerically links the level of assurance obtained from one type of procedure to the levels of assurance required from other types of procedures. This quantification of the levels of assurance directly influences the extent of audit evidence required. In addition, the mathematical audit evidence mix matrix quantitatively links the integration of the risk assessment process with the level of assurance required from performing audit procedures that will result in sufficient appropriate audit evidence on which the audit opinion can be based.</p>
<p>After establishing an acceptable overall level of audit risk or a desired overall level of assurance per class of transactions, account balances, disclosures or assertions, the next decision requiring the exercise of judgement from the auditor is how to relate the overall level of assurance required to the extent of assurance required from each type of procedure, as well as how to link the level of assurance obtained from one type of procedure to the extent of audit evidence required from other types of procedures.</p>
</sec>
<sec id="s20010">
<title>Extent of audit procedures</title>
<p>Audit evidence planning requires the exercise of professional judgement to determine the extent to which each of the types of audit procedures should be performed during the course of the audit.</p>
<p><bold>Analytical procedures:</bold> Analytical procedures are substantive procedures and involve the comparison of recorded financial statement amounts against expectations developed by the auditor through the analysis of plausible relationships (IAASB <xref ref-type="bibr" rid="CIT0065">2015g</xref>) among both financial and non-financial data (Messier et al. <xref ref-type="bibr" rid="CIT0094">2013</xref>). Analytical procedures are concerned with the reasonableness or the precision of the expectation developed by the auditor (Glover et al. <xref ref-type="bibr" rid="CIT0046">2005</xref>; McDaniel &#x0026; Simmons <xref ref-type="bibr" rid="CIT0089">2007</xref>). The higher the precision (i.e. the narrower the range of differences between the auditor&#x2019;s expectation and the recorded amount), the more effective the procedure will be in identifying potential misstatements in the recorded financial statement amounts and the greater the level of assurance provided by the procedure (Hitzig <xref ref-type="bibr" rid="CIT0052">2004</xref>). However, the determination of the precision interval is a subjective, judgemental assessment (Koskivaara <xref ref-type="bibr" rid="CIT0082">2007</xref>; Samaha &#x0026; Hegazy <xref ref-type="bibr" rid="CIT0104">2010</xref>).</p>
<p>The ISAs (IAASB <xref ref-type="bibr" rid="CIT0065">2015g</xref>) mandate that the auditor&#x2019;s determination of the size of the difference from the expectation that can be accepted without further investigation must be influenced by materiality, and must be consistent with the desired level of assurance. Based on the levels of assurance obtainable from analytical procedures (refer to <xref ref-type="table" rid="T0002">Table 2</xref>), the corresponding risk percentages of expressing an inappropriate audit opinion are:</p>
<list list-type="bullet">
<list-item><p>Slight level of assurance (= 1):
<list list-type="bullet">
<list-item><p>Precision interval = Recorded financial statement amount &#x00B1; 37&#x0025; &#x00D7; materiality</p></list-item>
</list></p></list-item>
<list-item><p>Standard level of assurance (= 2):
<list list-type="bullet">
<list-item><p>Precision interval = Recorded financial statement amount &#x00B1; 14&#x0025; &#x00D7; materiality</p></list-item>
</list></p></list-item>
</list>
<p>The application of the above percentages (i.e. 37&#x0025; &#x2013; 14&#x0025;) to materiality in order to define precision intervals for the slight (= 1) and standard (= 2) levels of assurance is supported by the literature as sufficient and appropriate (Kinney &#x0026; McDaniel <xref ref-type="bibr" rid="CIT0076">1996</xref>; McDaniel &#x0026; Simmons <xref ref-type="bibr" rid="CIT0089">2007</xref>; Wilson &#x0026; Colbert <xref ref-type="bibr" rid="CIT0120">1989</xref>):</p>
<disp-quote>
<p><bold>Sixth building block:</bold> Calculate the extent of analytical procedures required by determining the precision level.</p>
</disp-quote>
<p><bold>Tests of controls and tests of details:</bold> The extent of tests of controls and tests of details is generally thought of in terms of sampling and the quantity of procedures to be performed in terms of sample sizes (IAASB <xref ref-type="bibr" rid="CIT0063">2015e</xref>). The underlying assumption of sampling is that the sample will allow accurate inferences to be made about the population (Colbert <xref ref-type="bibr" rid="CIT0029">2001</xref>; Whittington &#x0026; Pany <xref ref-type="bibr" rid="CIT0119">2010</xref>). The three key inputs to computing sample sizes are the desired level of assurance, the tolerable misstatement amount or the deviation rate (tolerable error), and the expected population misstatement amount or deviation rate (expected error). Judgement and the exercise of considerable insight are required to establish the appropriate values for these determinants as inputs in calculating appropriate sample sizes. The auditor must use a sample size that is sufficiently large to reduce the risk that the financial statements contain undetected material misstatements to an acceptable low level. Once the desired level of assurance has been decided, the appropriate sample size is mainly influenced by the difference between the expected error and the tolerable error, which is referred to as the precision of the sampling application (Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>). There is an inverse relationship between tolerable misstatement (or deviation rate) and sample size (IAASB <xref ref-type="bibr" rid="CIT0066">2015h</xref>) and a direct relationship between the expected misstatement (or deviation rate) and sample size (IAASB <xref ref-type="bibr" rid="CIT0066">2015h</xref>).</p>
<p>The ISAs (IAASB <xref ref-type="bibr" rid="CIT0066">2014h</xref>) further require that the sample sizes for both non-statistical and statistical applications should be comparable. Therefore, although the auditor is not required to use statistical formulae or tables to identify the variables that will determine sample sizes under a non-statistical approach, the auditor is required to apply his or her professional judgement and knowledge of the underlying statistical sampling theories, methods and assumptions in order to appropriately consider the three determinants of sample size in arriving at a non-statistical sample size that is comparable to the statistical sample size. Applying professional judgement in determining non-statistical sample sizes, particularly where the auditor does not have a sound basic knowledge of statistical sampling theories, methods and assumptions, raises concerns that sampling judgements across engagement teams may be inconsistent, and that sampling judgements may differ significantly from statistical sampling theory (AICPA <xref ref-type="bibr" rid="CIT0006">2008</xref>; Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>; Whittington &#x0026; Pany <xref ref-type="bibr" rid="CIT0119">2010</xref>).</p>
<p>The IEPM employs a simple formula approach that is consistent with statistical sampling theories, methods and assumptions to determine non-statistical sample sizes for tests of controls that is quantitatively linked to the required overall levels of assurance. In this study, a non-statistical sampling model for tests of controls has been derived from both the sample size determinants of the desired assurance level and the tolerable deviation rate; these are fixed in line with sampling theories, methods and assumptions, as well as generally accepted auditing practice and global audit guidance, with only the decision regarding the expected deviation rate being left to the auditor&#x2019;s judgement. With reference to the tolerable deviation rate, Eilifsen et al. (<xref ref-type="bibr" rid="CIT0038">2010</xref>) recommend that a tolerable deviation rate of between 3&#x0025; and 5&#x0025; should be used when a higher level of assurance is required from tests of controls, and that a deviation rate of between 6&#x0025; and 10&#x0025; should be used when a lower level of control assurance is needed. Arens et al. (<xref ref-type="bibr" rid="CIT0009">2012</xref>) propose that the tolerable deviation rate lies between 4&#x0025; and 6&#x0025;, while O&#x2019;Reilly et al. (<xref ref-type="bibr" rid="CIT0098">1999</xref>) suggest that there is a range of possible tolerable deviation rates lying between 5&#x0025; and 10&#x0025;. Based on the near agreement of these suggestions, a tolerable deviation rate of 5&#x0025; has been used in the model.</p>
<p>Just as non-statistical approaches are used for tests of controls, they are also applied in this study to tests of details. It is generally accepted that the following three-variable formula may be used to calculate a non-statistical sample size for tests of details (AICPA <xref ref-type="bibr" rid="CIT0006">2008</xref>; Arens et al. <xref ref-type="bibr" rid="CIT0009">2012</xref>; Eilifsen et al. <xref ref-type="bibr" rid="CIT0038">2010</xref>; IFAC <xref ref-type="bibr" rid="CIT0067">2011</xref>; Messier, Glover &#x0026; Prawitt <xref ref-type="bibr" rid="CIT0092">2010</xref>):</p>
<disp-quote>
<p>Sample size = Recorded population size x Assurance factor &#x00F7; Tolerable misstatement (materiality)</p>
</disp-quote>
<p>Use of this simple formula increases the consistency between non-statistical sampling judgements (practice) with statistical sampling theory:</p>
<disp-quote>
<p><bold>Seventh building block:</bold> Calculate the extent of tests of controls and/or tests of details by determining the sample size.</p>
</disp-quote>
<p>By combining the quantified audit evidence mix matrix depicted in <xref ref-type="table" rid="T0002">Table 2</xref> (building blocks 1&#x2013;5) with building blocks 6 and 7 the IEPM is complete. For purposes of this article, the IEPM is depicted in <xref ref-type="fig" rid="F0001">Figures 1</xref>, <xref ref-type="fig" rid="F0002">2</xref> and <xref ref-type="fig" rid="F0003">3</xref>. In terms of building blocks 1 and 2, the risk level of each assertion, class of transactions, account balance or disclosure is identified as &#x2018;significant&#x2019;, &#x2018;standard&#x2019; or &#x2018;slight&#x2019; as indicated in <xref ref-type="fig" rid="F0001">Figure 1</xref>.</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Building blocks 1 and 2 of the integrated evidence planning model.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JEF-11-166-g001.tif"/>
</fig>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>The integrated evidence planning model for significant risk assertions, classes of transactions, account balances and disclosures</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JEF-11-166-g002.tif"/>
</fig>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>The integrated evidence planning model for standard and slight risk assertions, classes of transactions, account balances and disclosures.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JEF-11-166-g003.tif"/>
</fig>
<p>If the risk level of an assertion, class of transactions, account balance or disclosure is identified as significant, the auditor follows a combined or a substantive approach as indicated in <xref ref-type="fig" rid="F0002">Figure 2</xref>.</p>
<p>Alternatively, if the risk level of an assertion, class of transactions, account balance or disclosure is identified as standard, the auditor may follow either a combined or a substantive approach, while a substantive approach is all that is required if the risk level is identified as slight, as indicated in <xref ref-type="fig" rid="F0003">Figure 3</xref>.</p>
</sec>
</sec>
<sec id="s0011">
<title>Value of the integrated evidence planning model in the context of social closure theory</title>
<p>The model quantitatively integrates the determination of the extent of audit evidence to be obtained with the assessed risks of material misstatement and the materiality of each assertion, class of transactions, account balance or disclosure. The risk level of each assertion, class of transactions, account balance or disclosure is identified as &#x2018;significant&#x2019;, &#x2018;standard&#x2019; or &#x2018;slight&#x2019; (first and second building blocks) and a corresponding quantitative level of assurance is allocated (fourth building block). Based on the identified level of assurance, the model quantitatively links the extent of audit evidence required to the sample sizes needed for performance of tests of controls and tests of details, and the precision levels needed for the performance of substantive analytical procedures (sixth and seventh building blocks). By establishing this inter-relationship between the risks of material misstatement and the assurance that is required to reduce audit risk to an acceptable low level, the IEPM increases the audit work in high-risk areas. This effectively addresses the situation identified in earlier studies that found no clear correlation between evidence planning and extent of testing and the level of or changes in risks (De Martinis et al. <xref ref-type="bibr" rid="CIT0033">2011</xref>; Elder &#x0026; Allen <xref ref-type="bibr" rid="CIT0039">2003</xref>; Fukukawa et al. <xref ref-type="bibr" rid="CIT0045">2006</xref>; Hogan &#x0026; Wilkins <xref ref-type="bibr" rid="CIT0053">2008</xref>; Johnstone &#x0026; Bedard <xref ref-type="bibr" rid="CIT0070">2001</xref>; Luo <xref ref-type="bibr" rid="CIT0086">2011</xref>; Seidel <xref ref-type="bibr" rid="CIT0107">2014</xref>).</p>
<p>In addition to incorporating the different types and combinations of audit procedures needed to obtain audit evidence in response to the assessed risks (third building block) and establishing the compensatory inter-relationship between types of audit procedures, the IEPM also quantitatively integrates the relative assurance being drawn from the different types of audit procedures (fifth building block). Thereby, the IEPM clarifies how to combine or aggregate evidence from different types of procedures in order to reach a final audit opinion. By following the IEPM, public sector auditors obtain guidance, enabling them to determine the extent of audit evidence required [which is linked to sample sizes (for tests of controls and tests of details) and precision levels (for analytical procedures)], in relation to the assessed risks of material misstatement. It aids the public sector auditor who is required to respond to the question of how much to test, and in so doing responds to numerous conclusions in scholarly literature that there is an increasing need for guidance in how to determine the extent of testing (Bierstaker, Houston &#x0026; Wright <xref ref-type="bibr" rid="CIT0016">2006</xref>; Charles, Glover &#x0026; Sharp <xref ref-type="bibr" rid="CIT0025">2010</xref>; CICA <xref ref-type="bibr" rid="CIT0023">1980</xref>; Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>; Hayes <xref ref-type="bibr" rid="CIT0050">2007</xref>; Kinney <xref ref-type="bibr" rid="CIT0075">2005</xref>; Seidel <xref ref-type="bibr" rid="CIT0107">2014</xref>). In addition, the IEPM answers the question that arose from the literature review: how to combine or aggregate evidence from different types of procedures (tests of controls, substantive analytical procedures and tests of details) (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>; Srinidhi &#x0026; Vasarhelyi <xref ref-type="bibr" rid="CIT0109">1986</xref>; Turley &#x0026; Cooper <xref ref-type="bibr" rid="CIT0114">1991</xref>) in order to reach a final audit opinion.</p>
<p>Thus, the IEPM provides a framework to guide the auditor&#x2019;s exercise of his judgement regarding audit evidence gathering. However, it is not a substitute for professional judgement. Rather, the model provides a framework within which the auditor may confidently approach the exercise of judgement (an area where &#x2018;flexibility&#x2019; predominates) regarding the types, extent and combinations of audit procedures to be employed to gather sufficient appropriate audit evidence to respond to the assessed risks. Although audit decision-making cannot be reduced to the mechanical application of a quantitative model, and will always require the application of considerable (human auditor) judgement, studies have suggested that decision-making models that aid the auditor when required to exercise judgement in complex, multi-dimensional evidence planning situations may improve audit efficiency and effectiveness (Bedard &#x0026; Graham <xref ref-type="bibr" rid="CIT0014">2002</xref>; Curtis &#x0026; Turley <xref ref-type="bibr" rid="CIT0031">2007</xref>; Jeppesen <xref ref-type="bibr" rid="CIT0069">2007</xref>; Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>; Nelson, Tan &#x0026; Trotman <xref ref-type="bibr" rid="CIT0096">2005</xref>). The IEPM responds to this need. Furthermore, the model, which has now been incorporated into the audit methodology of the AGSA, is also a practical tool to manage adherence to the ISAs (Mentz <xref ref-type="bibr" rid="CIT0091">2014</xref>). This has been confirmed by the IRBA&#x2019;s assessment of the model against established assessment criteria and standards, during the IRBA&#x2019;s review of the AGSA&#x2019;s audit methodology (Mentz <xref ref-type="bibr" rid="CIT0091">2014</xref>).</p>
<p>As is evident from the above discussion, the IEPM clarifies the audit evidence decision-making sequences, inter-relationships and contingent dependencies of the different audit procedures. Furthermore, it quantifies the compensatory inter-relationships between the types of audit procedures and the desired levels of overall assurance required in response to the assessed risks of material misstatement. Such a direction is of value to inexperienced auditors in the South African public sector, and this structured approach could reduce their uncertainty about what course of action is appropriate, and the ambiguity inherent in their implementation of the audit plan (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>). In this way the IEPM supports professional accountants and auditors with limited skills and experience in the public sector (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>). In so doing (improving skills and competence levels), the professional closure experienced as a consequence of apartheid (Murphy <xref ref-type="bibr" rid="CIT0095">1984</xref>) is countered.</p>
<p>The concepts underpinning the IEPM are those of a traditional audit risk approach. This is in contrast with the business risk approach to auditing followed by large audit firms (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>). In addition to guiding inexperienced auditors (as explained above), a traditional audit risk approach (as incorporated in the IEPM) fits well within the public sector audit environment. Firstly, the AGSA does not blend consulting and auditing (nor do other SAIs). This blending of consulting and auditing is a prominent driver of the current business risk audit approach preferred by large audit firms (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>). Secondly, in terms of the IEPM, the extent of audit evidence gathered and the combinations of audit tests are still determined by the auditor and guided by professional standards; these are not &#x2018;managed&#x2019; so as to produce higher levels of satisfaction for the client, as is the case in business risk auditing (Humphrey &#x0026; Moizer <xref ref-type="bibr" rid="CIT0057">1990</xref>). This is an important consideration, because reaction to the social closure legacy of apartheid has resulted in a public sector environment characterised by a tendency to rate racial representation and political loyalty higher than integrity, skills and qualifications, and experience (Koelble &#x0026; Siddle <xref ref-type="bibr" rid="CIT0081">2014</xref>; Wenzel <xref ref-type="bibr" rid="CIT0118">2007</xref>). The resulting skills shortage has led to poor audit results and a perilous financial state (Ngoepe &#x0026; Ngulube <xref ref-type="bibr" rid="CIT0097">2014</xref>). In such an environment, a traditional audit risk approach, with its focus on audit risk, the financial statements and internal controls, rather than on the auditee&#x2019;s strategic direction (Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>), ensures an audit approach that searches for those factors that might lead to a misstatement of an account balance, class of transactions or disclosure (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>). Finally, the IEPM makes use of materiality levels, evaluation of internal controls and audit procedure combinations, while planning for business risk auditing might not lead to a similar responsiveness to proportionate changes in levels of substantive testing and follow-up procedures (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>).</p>
</sec>
<sec id="s0012">
<title>Conclusion</title>
<p>This article presents seven building blocks from which a model has been constructed to guide public sector auditors in the exercise of professional judgement in planning decisions for classes of transactions, account balances and/or disclosures. The IEPM clarifies the audit evidence decision sequences and the inter-relationships and contingent dependencies of the different audit procedures, and quantifies the compensatory requirements of the inter-relationships between the types of audit procedures and the desired overall levels of assurance in response to the assessed risks of material misstatement. Although the model is aligned with the current ISAs, it relates better to the traditional audit risk approach than to the currently preferred business risk audit approach of large audit firms (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>). The IEPM has been included in the audit methodology of the AGSA, and its compliance with the ISA requirements has been assessed through a monitoring inspection performed by the IRBA (Mentz <xref ref-type="bibr" rid="CIT0091">2014</xref>).</p>
<p>When following the IEPM, South African public sector auditors employ a more traditional audit risk approach, in preference to the business risk audit approach used by large audit firms. It is also in contrast to present-day private sector auditors&#x2019; resistance to formalism and structure (Abdullatif &#x0026; Al-Khadash <xref ref-type="bibr" rid="CIT0001">2010</xref>; Khalifa et al. <xref ref-type="bibr" rid="CIT0072">2007</xref>; Knechel <xref ref-type="bibr" rid="CIT0079">2007</xref>). Such a structured approach fits well in the public sector environment, effectively addressing its shortage of experienced professional accountants and auditors (World Bank <xref ref-type="bibr" rid="CIT0121">2013</xref>) (an apartheid legacy). Social closure [institutionalised by the apartheid laws, and a principal form of exclusion (Murphy <xref ref-type="bibr" rid="CIT0095">1984</xref>)], has resulted in a South African public sector that still has significant skills shortages (Koelble &#x0026; Siddle <xref ref-type="bibr" rid="CIT0081">2014</xref>; Wenzel <xref ref-type="bibr" rid="CIT0118">2007</xref>) and this continues to result in poor audit results and an ineffectively managed financial state (Ngoepe &#x0026; Ngulube <xref ref-type="bibr" rid="CIT0097">2014</xref>). This situation is also faced by SAIs in other developing countries where there are limited skills. This inhibits the performance of the tasks expected of a modern (public sector) auditor (UN <xref ref-type="bibr" rid="CIT0115">2007</xref>) and audit function, as is the case of the AGSA. The outcome is a corruption-stricken public sector environment that is shy of transparency and accountability (Iyoha &#x0026; Oyerinde <xref ref-type="bibr" rid="CIT0068">2010</xref>; Kayrak <xref ref-type="bibr" rid="CIT0071">2008</xref>).</p>
<p>The study has acknowledged limitations. The focus of the IEPM developed in this study is at the class of transactions, account balance, disclosure and assertion levels, and not at the overall financial statement level. The model does not consider the business risk assessment (the backbone of business risk auditing) or the evaluation and the reporting phases of the audit, and it is set at the point in the audit sequence after the assessment of risk at the relevant class of transactions, account balance, disclosure and assertion level has been completed. It is specifically concerned with quantifying the extent or sufficiency of audit evidence required to enable the public sector auditor to express an opinion on the financial statements, and it limits the consideration of the nature and timing of audit procedures only to the degree that they impact the auditor&#x2019;s decisions regarding the extent of audit evidence.</p>
<p>Future studies should consider developing a business risk audit approach for use by public sector auditors that makes use of significantly detailed risk assessments at all levels of inquiry (including corruption and political influences at each level) and that shows clear linkages between audit procedures and risk assessments. These studies should also consider how inexperienced auditors and auditors with limited skills could be developed to follow the revised business risk audit approach. Another area of consideration is the impact of such an approach on the mandate of SAIs, particularly because past results have shown that regulatory changes (such as the <italic>Sarbanes-Oxley Act</italic> in the USA) that required improved regulatory scrutiny have caused auditors to act with greater circumspection while following a business risk audit approach (Fogarty &#x0026; Rigsby <xref ref-type="bibr" rid="CIT0043">2010</xref>). This line of research would require renewed consideration of the relations between SAIs, their states and regulatory agencies and the users of public sector financial information. In this regard, a future study should investigate the logic of professionalism among public sector auditors as it will determine how public sector auditors ought to act, how SAIs should be organised and how professional norms are best enforced (Suddaby, Gendron &#x0026; Lam <xref ref-type="bibr" rid="CIT0111">2009</xref>).</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<sec id="s20013" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships which may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20014">
<title>Authors&#x2019; contributions</title>
<p>M.M., K.B and E.O. equally contributed to the research and writing of this article.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Mentz, M., Barac K. &#x0026; Odendaal, E., 2018, &#x2018;An audit evidence planning model for the public sector&#x2019;, <italic>Journal of Economic and Financial Sciences</italic> 11(1), a166. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4102/jef.v11i1.166">http://dx.doi.org/10.4102/jef.v11i1.166</ext-link></p></fn>
<fn><p><bold>Note:</bold> This article is partially based on the author&#x2019;s thesis of the degree of Doctor of Commerce in Auditing at the University of South Africa, South Africa, with promoters Professors K. Barac and E.M. Odendaal, received 2014, available here: <ext-link ext-link-type="uri" xlink:href="http://uir.unisa.ac.za/bitstream/handle/10500/18477/thesis_mentz_m.pdf?isAllowed=y&#x0026;sequence=1">http://uir.unisa.ac.za/bitstream/handle/10500/18477/thesis_mentz_m.pdf?isAllowed=y&#x0026;sequence=1</ext-link></p></fn>
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