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Accruals Quality and Internal Control

Accruals Quality and Internal Control
Accruals Quality and Internal Control

THE ACCOUNTING REVIEW

V ol.82,No.5

2007

pp.1141–1170

Accruals Quality and Internal Control

over Financial Reporting

Jeffrey T.Doyle

Utah State University

Weili Ge

University of Washington

Sarah McVay

University of Utah

ABSTRACT:We examine the relation between accruals quality and internal controls

using705?rms that disclosed at least one material weakness from August2002to

November2005and?nd that weaknesses are generally associated with poorly esti-

mated accruals that are not realized as cash?ows.Further,we?nd that this relation

between weak internal controls and lower accruals quality is driven by weakness dis-

closures that relate to overall company-level controls,which may be more dif?cult to

‘‘audit around.’’We?nd no such relation for more auditable,account-speci?c weak-

nesses.We?nd similar results using four additional measures of accruals quality:dis-

cretionary accruals,average accruals quality,historical accounting restatements,and

earnings persistence.Our results are robust to the inclusion of?rm characteristics that

proxy for dif?culty in accrual estimation,known determinants of material weaknesses,

and corrections for self-selection bias.

Keywords:earnings quality;accruals quality;internal control;material weaknesses.

Data Availability:All data used in the paper are available from publicly available sources

noted in the text;the data on internal control weaknesses are avail-

able in machine-readable form from the authors upon request.

I.INTRODUCTION

I n this paper we examine the relation between accruals quality and the internal control

environment of the?rm.By de?nition,when there is a material weakness in internal control,there is‘‘more than a remote likelihood that a material misstatement of the

We thank two anonymous reviewers,Dan Cohen,Patty Dechow,Dan Dhaliwal(the editor),Ilia Dichev,Kalin Kolev,Russ Lundholm,Matt Magilke,Zoe-V onna Palmrose,Christine Petrovits,Cathy Shakespeare,Tom Smith, and Suraj Srinivasan for their helpful comments and suggestions.This paper has also bene?ted from comments received at the20054-School Conference at Columbia University,the2005AAA Midwest Regional Meeting,the 2006AAA FARS Midyear Meeting,the2006Accounting and Finance Association of Australia and New Zealand Annual Meeting,the2006International Symposium on Audit Research Conference,and the University of Michigan. Editor’s note:This paper was accepted by Dan Dhaliwal.

Submitted August2005

Accepted January2007

1141

1142

Doyle,Ge,and McVay

Accruals Quality and Internal Control over Financial Reporting 1143

The Accounting Review,October 2007

Although there are several plausible explanations for the weaker results using the Section

404disclosures,one obvious difference between Sections 302and 404is the increased level

of scrutiny under Section 404,which requires an audit opinion on the internal controls by

the external auditors.It is possible that external auditors applied a lower effective threshold

for Section 404compared to management’s threshold under Section 302and therefore

identi?ed a greater number of material weaknesses that lacked real ?nancial reporting con-

sequences.We discuss these results and other possible explanations later in Section IV .

Our paper makes two primary contributions.First,we extend the literature on earnings/

accruals quality.Conceptually,it makes sense that a good internal control system is the

foundation for high-quality ?nancial reporting,since strong internal controls likely curtail

both procedural and estimation errors,as well as earnings management.Our ?ndings present

empirical evidence to support this fundamental link between internal controls and accruals

quality.In addition,our paper extends this basic research question by (1)examining the

types of material weaknesses (company-level versus account-speci?c),(2)distinguishing

between the Section 302versus 404reporting regimes,(3)using a cross-section of ?ve

earnings/accruals quality measures,and (4)controlling for self-selection bias through the

use of both a Heckman (1979)two-stage process and a propensity score matching approach

(LaLonde 1986).

Second,our paper provides empirical evidence on the effectiveness of Sections 302

and 404of Sarbanes-Oxley.These sections have been among the most cumbersome of the

new legislation,with many critics alleging that the costs of compliance far exceed any

bene?ts.We ?nd that the most informative material weakness disclosures (i.e.,those that

are associated with real economic events such as lower accruals quality)are those

that relate to more serious,company-level problems for both Sections 302and 404.Fur-

thermore,the company-level disclosures made under Section 302seem to be more strongly

related to lower accruals quality than the company-wide disclosures under Section 404.The

disclosures of material weaknesses that report less serious,account-speci?c problems under

both Sections 302and 404do not appear to be effective in our tests at identifying ?rms

with lower ?nancial reporting quality.

Since the implementation of Sections 302and 404of Sarbanes-Oxley is fairly new,

there are a number of concurrent papers in this area.Our ?ndings are generally consistent

with and complementary to these other papers.First,our main ?nding—that material weak-

nesses are associated with lower accruals quality—is consistent with several other papers

that examine this relation employing varying time periods,accruals quality proxies,and

types of de?ciencies (Ashbaugh-Skaife et al.2006;Bedard 2006;Chan et al.2005;Hogan

and Wilkins 2005).2Second,our ?nding that the more auditable account-speci?c weak-

nesses are not associated with lower accruals quality is complementary to Hogan and

Wilkins (2006)who ?nd that audit fees are abnormally high for ?rms with an internal

control de?ciency in the year preceding the de?ciency disclosure,indicating that auditors

are able to reduce the impact of poor controls through substantive testing.Finally,our

conclusion that it is the internal control problem that is the root cause of the lower accruals

quality is supported by Ashbaugh-Skaife et al.(2006)and Bedard (2006)who ?nd that

accruals quality improves in the year following the reported internal control problem for

2This ?nding also complements and motivates recent studies that examine market reactions to these disclosures as well as differences in the implied cost of capital for ?rms with weak internal controls (e.g.,Beneish et al.2006;DeFranco et al.2005;Hammersley et al.2008;Ogneva et al.2007).

1144Doyle,Ge,and McVay

The Accounting Review,October 2007

?rms that appear to have remediated their de?ciencies.3In sum,the papers in this area

jointly present a fairly cohesive picture of how internal controls affect accruals quality.

The paper proceeds as follows.The next section motivates our hypotheses,and Section

III describes our sample selection and variable de?nitions.Section IV presents our main

results,and Section V describes our robustness tests.A summary and concluding remarks

are offered in the ?nal section.

II.HYPOTHESES

Internal control over ?nancial reporting is de?ned as ‘‘a process ...to provide reason-

able assurance regarding the reliability of ?nancial reporting’’(PCAOB 2004)(emphasis

added).By de?nition,good internal control is supposed to result in more reliable ?nancial

information.Internal controls aim to prevent and/or detect errors or fraud that could result

in a misstatement of the ?nancial statements.However,there is limited empirical evidence

in the existing literature regarding the relation between the quality of internal control and

the quality of accounting information.4A major reason is lack of data on internal control;

in general,it is dif?cult to directly observe or verify internal control quality (Kinney 2000).

Our sample is generated from the disclosures of material weaknesses in internal controls

that ?rst appeared as a result of Section 302of Sarbanes-Oxley,which requires that of?cers

certify the ?nancial statements,including the effectiveness of the internal control over

?nancial reporting,and any material changes in internal control.Material weaknesses have

also been disclosed in conjunction with Section 404requirements,which became effective

for accelerated ?lers for ?scal years ending after November 15,2004.5Section 404requires

that management issue a report on internal control over ?nancial reporting,and that auditors

attest to their ?ndings.The unaudited internal control disclosures under Section 302are

meant to be a transition to the full ‘‘attestation’’regime under Section 404,with Section

404becoming the ongoing internal control reporting mechanism.However,as the date for

non-accelerated ?lers to comply with Section 404has been extended several times (most

recently to December 15,2008for full attestation),internal control disclosures continue to

be reported under Section 302for these smaller companies.Regardless of the origin of the

material weakness disclosure,all else equal,we expect these disclosures to be informative

about the quality of ?rms’accruals.

3

Altamuro and Beatty (2006)examine the impact of the FDICIA-mandated internal control reforms within the banking industry and ?nd that these reforms led to improvements in earnings quality for banks affected by the regulation relative to unaffected banks during the same period.Their ?ndings are also consistent with poorer internal control resulting in lower earnings quality.4

In related work,Krishnan (2005)?nds that internal control problems are negatively associated with the quality of the audit committee.To the extent that audit committee quality and internal control quality are positively associated,this ?nding supports our hypothesis.As noted in the introduction,there are several concurrent works examining earnings quality and internal control problems (e.g.,Ashbaugh-Skaife et al.2006;Hogan and Wilkins 2005).5Section 302of the Sarbanes-Oxley Act became effective for ?scal years ending after August 29,2002for all SEC registrants.Section 404became effective for ?scal years ending after November 15,2004for accelerated ?lers,a classi?cation that generally includes public ?rms with a market capitalization of at least $75million (the due date was extended an additional 45days for accelerated ?lers with a market capitalization of less than $700million in November 2004).For non-accelerated ?lers,Section 404will be effective for years ending on or after December 15,2007for management assessment of the effectiveness of internal control and December 15,2008for the auditor’s attestation report.Since the reporting requirements differ on important dimensions that are likely correlated with accruals quality,we conduct sensitivity analyses that differentiate between Section 302and 404disclosures.These alternative results are discussed in Section IV .

Accruals Quality and Internal Control over Financial Reporting1145 Prior research on earnings quality is generally related to accruals quality(Dechow and Schrand2004),and that is also the focus in this paper.Accruals can be of poor quality for two basic reasons:(1)management could intentionally bias accruals through earnings man-agement and(2)unintentional errors in accrual estimation could occur because it is dif?cult to predict an uncertain future,or simply because there are insuf?cient controls in place to detect errors.Both of these roles have been investigated in the existing literature.With respect to earnings management,managers have been shown to use‘‘discretionary accruals’’to manage earnings in various settings,such as prior to equity offerings(e.g.,Rangan1998; Teoh et al.1998).As for unintentional errors,Dechow and Dichev(2002)point out that the quality of accruals and earnings are not limited to managerial opportunism,but are also related to the inherent dif?culty in estimating accruals for?rms with certain characteristics (e.g.,longer operating cycles).They measure the quality of accruals by the extent to which the accruals map into cash?ows.In general,they?nd that the quality of accruals is poorer for?rms with certain characteristics,such as a high proportion of losses,more volatile sales and cash?ows,lower total assets,and longer operating cycles.

We expect that weaknesses in internal control will result in lower accruals quality because,by de?nition,they have the potential to allow errors in accrual estimation to occur and impact the reported?nancial statements.These potential errors include both intentional (earnings management)and unintentional(poor estimation ability)errors.For a company with weak controls,intentionally biased‘‘discretionary’’accruals could be greater by failing to limit management’s ability to manage earnings(e.g.,by segregating duties).Uninten-tional errors could be higher if weak controls result in more estimation errors for dif?cult to estimate accruals(e.g.,by failing to ensure that quali?ed personnel are calculating es-timates)and allow more procedural errors(e.g.,by failing to have appropriate reconcilia-tions and reviews in place).As an example,Cardiodynamic International disclosed a ma-terial weakness related to the frequency of their analysis of the inventory obsolescence provision.This material weakness most likely resulted in estimation errors related to its inventory accounts,which may have been intentional to allow the understatement of ex-penses.These estimation errors,caused by the material weakness in internal control,likely resulted in lower overall accruals quality for Cardiodynamic.This leads to our?rst hypothesis:

H1:Material weaknesses in internal control are negatively associated with accruals quality.

Our?rst hypothesis is based on the notion that good internal control over?nancial reporting is an effective internal monitoring device and results in higher quality?nan-cial reporting.However,the hypothesis does not consider external monitors.It is possible that auditors increase substantive testing when encountering weak internal controls.In other words,internal controls and substantive testing could be substitutes in producing high-quality accruals(e.g.,Wright and Wright1996).Our next hypothesis,therefore,is related to the‘‘auditability’’or potential severity of the internal control weaknesses.

While a material weakness is the most severe type of internal control de?ciency,within the material weakness classi?cation the severity of internal control problems varies sub-stantially.Moody’s(the bond-rating company)proposes that material weaknesses fall into one of two categories.Account-speci?c material weaknesses relate to controls over speci?c account balances or transaction-level processes.Moody’s suggests that these types of ma-terial weaknesses are‘‘auditable,’’and thus do not represent as serious a concern regarding the reliability of the?nancial https://www.doczj.com/doc/078248760.html,pany-level material weaknesses,however,

The Accounting Review,October2007

1146Doyle,Ge,and McVay

The Accounting Review,October 2007

relate to more fundamental problems such as the control environment or the overall ?nancial

reporting process,which auditors may not be able to ‘‘audit around’’effectively.Moody’s

suggests that company-level material weaknesses call into question not only management’s

ability to prepare accurate ?nancial reports,but also its ability to control the business (Doss

and Jonas 2004).6The disclosure by Nitches,Inc.,illustrates a typical ‘‘company-level’’

material weakness:

In October 2004,our management concluded that there were certain material weak-

nesses in our internal controls and procedures.The material weaknesses noted related

to segregation of duties in the payroll process and in the monthly closing process;

inadequate review and approval of management-level adjustments and entries.We have

discussed these material weaknesses with our auditors,Moss Adams,LLP,who have

recommended taking steps to alleviate the inadequate segregation of duties within these

areas.

This internal control problem could feasibly affect accruals quality.The lack of proper

checks and balances might result in procedural errors,while inadequate review of mana-

gerial adjustments might facilitate earnings management.Thus,we expect Nitches to exhibit

poorer accruals quality than a similar ?rm (with respect to size,operating cycle,etc.)

without a material weakness in internal control.A seemingly less severe ‘‘auditable’’ma-

terial weakness was reported by I-Flow Corporation:

As part of the annual audit process,a material weakness was identi?ed in our controls

related to the application of generally accepted accounting principles,speci?cally re-

lated to the classi?cation of the Company’s short-term investments,resulting in the

Company reclassifying approximately $34million of cash and cash equivalents to short-

term investments.

It is not clear that this weakness would result in lower accruals quality.The distinction

between company-level and account-speci?c material weaknesses is especially important

for the more recent material weakness disclosures in our sample.These disclosures appear

to be more conservative,and,per discussions with auditors,might be overly conservative.

This leads to our second hypothesis:

H2:Company-level material weaknesses have a stronger negative relation with accruals

quality than account-speci?c material weaknesses.

III.DATA,SAMPLE SELECTION,AND V ARIABLE DEFINITIONS

Identifying and Classifying Firms with Material Weaknesses

As mentioned above,material weaknesses in internal control have only been widely

disclosed in SEC ?lings since August 2002.To collect our test ?rms,we search 10-K

Wizard (10-Ks,10-Qs,and 8-Ks;https://www.doczj.com/doc/078248760.html,)using the keywords ‘‘mate-

rial weakness’’and ‘‘material weaknesses’’from August 1,2002through October 31,2005.

6It might seem that auditors should also be able to substantively test company-level weaknesses,however,the general nature of these weaknesses does not pinpoint where additional substantive testing should occur,while the account-speci?c weaknesses highlight a speci?c area where auditors can then focus more attention.

Accruals Quality and Internal Control over Financial Reporting 1147

The Accounting Review,October 2007

We include only those ?rms that classify their internal control problem(s)as a material

weakness,the most severe internal control de?ciency.7We focus on material weaknesses

for two reasons.First,it is the most severe type of de?ciency in internal control and the

most likely to affect accruals quality.Second,the disclosure of material weaknesses is

effectively mandatory,while the disclosure of lesser ‘‘signi?cant de?ciencies’’is unambig-

uously voluntary (see footnote 19).Focusing on the more mandatory disclosures helps avoid

self-selection issues associated with voluntary disclosures.

This procedure identi?es 1,210?rms that disclosed at least one material weakness from

August 2002to November 2005,outlined in Table 1,Panel A.Of these ?rms,164are not

covered by Compustat,and 79companies in our sample disclosed a material weakness

related to lease accounting in 2005.These disclosures were responses to the views expressed

by the Of?ce of the Chief Accountant of the SEC in a February 7,2005letter to the AICPA.

Due to the narrow,technical nature of this issue,we exclude these ?rms from our analysis

(the inclusion of these ?rms leads to very similar results).If a parent and subsidiary both

?le with the SEC and report the same material weakness,then we include only the parent

company and remove the subsidiary from our control ?rms if the subsidiary is covered by

Compustat (17?rms).We also exclude from our control sample the 100?rms identi?ed

by Compliance Week (https://www.doczj.com/doc/078248760.html,)as having a signi?cant de?ciency

that does not reach the severity of a material weakness,in order to create a more powerful

test between ?rms with clear internal control problems (?rms reporting material weak-

nesses)and those with no apparent internal control problems.Next,259(1,974)of our

material weakness (control)sample ?rms have insuf?cient data to calculate our measure of

accruals quality.We also eliminate three material weakness ?rms and 14control ?rms that

were involved in a signi?cant merger (greater than 50percent of sales)during the accruals

quality estimation period,because the merger could result in mismatched current accruals

and future cash ?ows (Hribar and Collins 2002).A signi?cant merger is identi?ed in Com-

pustat footnote 1as ‘‘AB.’’These restrictions result in a sample of 705(3,280)material

weakness (control)?rms with non-missing accruals quality data and 645(2,943)mater-

ial weakness (control)?rms in our multivariate tests.8We summarize our sample selection

process in Table 1,Panel A.

We next classify ?rms as having either a company-level or account-speci?c material

weakness in order to test the hypothesis that more severe,company-level weaknesses will

be more negatively associated with accruals quality.We provide examples of each category

in Appendix A.These classi?cations are mutually exclusive;if a ?rm has both company-

level and account-speci?c weaknesses,then we code the ?rm as having a company-level

material weakness.In some cases,it is straightforward to categorize a disclosure as

company-level;for example,when ‘‘ineffective control environment’’or ‘‘management

7

A material weakness is ‘‘a signi?cant de?ciency,or combination of signi?cant de?ciencies,that results in more than a remote likelihood that a material misstatement of the annual or interim ?nancial statements will not be prevented or detected,’’as de?ned by the Public Company Accounting Oversight Board (PCAOB)under Auditing Standard No.2.A signi?cant de?ciency is de?ned as ‘‘a control de?ciency,or combination of control de?cien-cies,that adversely affects the company’s ability to initiate,authorize,record,process,or report external ?nancial data reliably in accordance with generally accepted accounting principles such that there is more than a remote likelihood that a misstatement of the company’s annual or interim ?nancial statements that is more than incon-sequential will not be prevented or detected’’(PCAO

B 2004,para.9).8Of the 645material weakness ?rms in our ?nal sample,eight were disclosed in 2002,55in 2003,207in 2004,and the remaining 375in 2005.Of the 375disclosures in 2005,276(74percent)correspond to our estimate of 404?lers (a ?oat greater than or equal to $75million).Only 15(7percent)of the disclosures from 2004correspond to 404?lers (a ?oat of greater than or equal to $75million and a ?ling date after November 14,2004).

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Doyle,Ge,and McVay

The Accounting Review,October 2007TABLE 1

Sample Selection and Variable De?nitions

Panel A:Sample Selection

Material Weakness Sample Identi?ed material weakness ?rms from August 2002to November 20051,210Less ?rms not covered by Compustat

(164)Total material weakness ?rms covered by Compustat

1,046Less ?rms with material weaknesses related only to accounting for leases (79)Less ?rms with unavailable data on accruals quality (259)Less ?rms with extreme merger and acquisition activity in the accruals quality estimation period (3)Total material weakness ?rms examined in univariate tests

705Less ?rms with unavailable data for control variables

(60)Total material weakness sample used in multivariate regressions

645Compustat Control Sample

All Compustat ?rms with 2003data 6,431Less ?rms identi?ed as having a material weakness (1,046)Less ?rms identi?ed as having an internal control weakness other than a material weakness by Compliance Week (100)Less ?rms identi?ed as the subsidiary of a material weakness ?rm (17)Less ?rms with unavailable data on accruals quality (1,974)Less ?rms with extreme merger and acquisition activity in the accruals quality estimation period (14)Total control ?rms examined in univariate tests

3,280Less ?rms with unavailable data for control variables

(337)Total control sample used in multivariate regressions

2,943Panel B:Variable De?nitions

Variable

De?nition Material Weakness Disclosures

MW

An indicator variable that is equal to 1if the ?rm disclosed a material weakness in internal control in our sample period (August 2002to November 2005),and 0otherwise.MW Account-Speci?c (Company-Level)An indicator variable that is equal to 1if the ?rm disclosed a material weakness in internal control in our sample period (August 2002to November 2005)related to an auditable account (a more pervasive company-wide problem),and 0otherwise.

Accruals Quality Measures Accruals Quality (AQ)The standard deviation of the residuals from the Dechow and Dichev (2002)accruals quality measure,as adjusted by McNichols (2002)and Francis et al.(2005),measured from 1996–2002(see Section III).

Discretionary Accruals The average of the absolute value of discretionary accruals from 1996–2002,where discretionary accruals are calculated following Becker et al.(1998).

Average Accruals Quality

The average of the absolute value of the residuals from the Dechow and Dichev (2002)accruals quality measure,as adjusted by McNichols (2002)and Francis et al.(2005),measured from 1996–2002.

(continued on next page )

Accruals Quality and Internal Control over Financial Reporting

1149The Accounting Review,October 2007TABLE 1(continued)

Variable

De?nition Historical Restatement

An indicator variable that is equal to 1if the ?rm was listed by the GAO as having restated their ?nancial statements from 1997–2002,and 0otherwise.Earnings Persistence The coef?cient on earnings from a cross-sectional regression of current earnings on one-year-ahead earnings estimated from 1996–2002.

Innate Firm Characteristics That Affect Accruals Quality

Loss Proportion

The ratio of the number of years of losses (Compustat annual data item #123)relative to the total number of years of data from 1996–2002.Sales Volatility

The standard deviation of sales (data item #12),scaled by average assets (data item #6),from 1996–2002.CFO Volatility

The standard deviation of cash from operations (data item #308),scaled by average assets,from 1996–2002.Total Assets

The log of total assets (data item #6)from 2003Compustat.Operating Cycle The log of the average of [(Sales/360)/(Average Accounts Receivable)?(Cost of Goods Sold/360)/Average Inventory)],calculated from 1996–2002.

Additional Material Weakness Determinants That Could Be Related To Accruals Quality

Firm Age

The log of the number of years the ?rm has CRSP data as of 2003.Segments

The log of the sum of the number of operating and geographic segments reported by the Compustat Segments database for the ?rm in 2003.Extreme Sales Growth

An indicator variable that is equal to 1if year-over-year industry-adjusted sales growth (data item #12)from 2002to 2003falls into the top quintile,and 0otherwise.Restructuring Charge The aggregate restructuring charges [data item #376?(?1)]in 2003and 2002,scaled by the ?rm’s 2003market capitalization.

override’’is speci?cally identi?ed as a material weakness in the disclosure.However,most

disclosures are not so forthcoming.Thus,if a ?rm has material weaknesses related to at

least three account-speci?c problems,we classify the ?rm as having a company-level ma-

terial weakness.In two cases,the ?rm has insuf?cient information to code the disclosure;

we classify both of these disclosures as company-level.Of our 705?rms with non-missing

accruals quality data,426are classi?ed as account-speci?c and 279as company-level.

Accruals Quality Measures

We use the measure of accrual estimation error developed in Dechow and Dichev

(2002)and modi?ed in McNichols (2002)and Francis et al.(2005)as our main measure

of accruals quality.This measure de?nes the quality of accruals as the extent to which they

map into past,current,and future cash ?ows.We assume that this measure can capture the

effect of internal control on accruals quality for two reasons.First,a large number of

disclosed material weaknesses are related to speci?c accounts (e.g.,inventory [Ge and

McVay 2005]).These speci?c accounts could have estimation errors that will be captured

by this measure.For example,if the inventory account is overstated,then the obsolete

inventory will not result in cash in?ows in the next period,resulting in a low correlation

between the accrual and realized cash ?ows.Second,compared to other measures of ac-

cruals quality,the measure in Dechow and Dichev (2002)does not rely solely on earnings

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The Accounting Review,October 2007

management or assumptions related to market ef?ciency (e.g.,value-relevance).This mea-

sure can capture both biased ‘‘discretionary’’accruals and unintentionally poorly estimated

accruals,which we predict will be the result of an internal control system with material

weaknesses.9

Speci?cally,the proxy for accruals quality is measured by estimating the following

regression by industry and year:

?WC ????CFO ??CFO ??CFO ???REV ??PPE ?ε.(1)

t 01t ?12t 3t ?14t 5t t The residuals from the regression measure the extent to which current accruals (?WC )do

not effectively map into past,present,or future cash ?ows (CFO ).10Following both

McNichols (2002)and Francis et al.(2005),we also include the current year change in

sales (?REV ??(data item 12))and the current year level of property,plant,and equipment

(PPE ?data item 7)in Equation (1).The inclusion of these two variables links the Dechow

and Dichev (2002)measure to the Jones (1991)model of discretionary accruals.

Following Francis et al.(2005),we estimate the above regression cross-sectionally,by

year,within each of the 48Fama and French (1997)industry classi?cations.If an industry

group has fewer than 20observations in any given year,then those observations pertaining

to that industry are deleted.We use annual Compustat data spanning 1995–2003,which

results in seven years of observations (1996–2002),since the regression requires data from

the past and future years.We then aggregate the residuals by ?rm and calculate the standard

deviation of residuals (AQ ),by ?rm,requiring a minimum of four years of data out of the

seven years.A higher standard deviation indicates lower accruals quality.

As with any proxy,our measure of accruals quality has limitations.As noted in

McNichols (2002),the Dechow and Dichev (2002)approach limits the applicability of the

model to accruals that are short term in nature (i.e.,working capital accruals).In addition,

the de?nition of accruals quality is symmetric for estimation errors that overstate and un-

derstate cash ?ow realizations by an equal amount,which may be problematic in certain

settings,although less of a concern in our setting as unintentional errors are not expected

to be systematically over-or understated.Moreover,a sizable fraction of the explanatory

power of the measure is attributable to the negative contemporaneous association between

accruals and cash ?ows.To the extent that this contemporaneous component does not

capture accruals quality,it can handicap the ability of the Dechow and Dichev (2002)model

to capture accruals quality (Wysocki 2006).Finally,as with any measure,to the extent that

we do not properly control for the joint determinants of both accruals quality and material

weaknesses,our conclusions would not be warranted.

In order to further validate our results and to enhance comparison with other research

on earnings quality,we also examine four additional proxies of earnings/accruals quality.

9

Roychowdhury (2006),among others,shows that ?rms appear to manipulate real operating activities in order to ‘‘manage’’earnings.However,such an action is not a violation of generally accepted accounting principles,and thus we do not expect good internal control to constrain this behavior.10We de?ne the change in working capital accruals from year t ?1to t as ?WC ??Accounts Receivable ??Inventory ??Accounts Payable ??Taxes Payable ??Other Assets,or ?WC ??(data item 302?data item 303?data item 304?data item 305?data item 307).CFO is cash ?ow from operations (data item 308).All variables in Equation (1)are scaled by average total assets (data item 6)and winsorized at the 1st and 99th percentiles,by year.

Accruals Quality and Internal Control over Financial Reporting 1151

The Accounting Review,October 2007

The ?rst is Discretionary Accruals ,which is the average of the absolute value of discre-

tionary accruals,estimated following Becker et al.(1998)and Kothari et al.(2005).11Our

second alternative proxy,Average Accruals Quality ,is suggested in Dechow and Dichev

(2002).This measure,the average of the absolute value of the ?rm residuals from Equation

(1),is estimated in the cross-section and is highly correlated with our main accruals quality

measure (the standard deviation of the residuals).The third alternative proxy of accruals

quality is Historical Restatement ,which is an indicator variable that is equal to 1if the

?rm was listed by the General Accounting Of?ce (GAO)as having had a restatement from

January 1997through December 2002.Intuitively,in order for a restatement to occur,an

error (either intentional or unintentional)must have been made.Therefore,while our

Dechow and Dichev (2002)measure attempts to capture these errors through the realization

of cash ?ows,restatements provide explicit evidence of these errors.12Our ?nal alternative

measure of accruals quality is Earnings Persistence (Dechow and Dichev 2002;Schipper

and Vincent 2003).These four alternative measures are de?ned in Table 1,Panel B.

Timing of the Measurement of Accruals Quality

Since internal control disclosures were not widely available prior to the Sarbanes-Oxley

Act of 2002,it is dif?cult to determine how long the newly disclosed weaknesses have

existed in the company.This has implications for the time period over which we measure

our accruals quality variable.In our paper,we assume that the weaknesses,on average,

have existed several years prior to their disclosure,if not since the ?rm’s inception.Each

of our proxies for accruals quality is measured from 1996to 2002,which results in almost

no overlap with the ?nancial periods in which the weaknesses were reported.We can infer

from the descriptions that many of the disclosures have been around for some time.For

example,3D Systems had the following disclosure:

Speci?cally,our revenue recognition policies and procedures were poorly documented

and not readily accessible to most of our employees.Our documentation for machine

sales transactions was inconsistent and not adequately de?ned.Furthermore,the then

existing policies and procedures [were]broad-based,and did not include speci?c pro-

cedures and controls by department or function.Moreover,our accounting and ?nance

staff were inadequate to meet the needs of an international public company.

It seems unlikely that 3D Systems did not have these problems in the recent years preceding

the disclosure.Rather,it seems likely that Sarbanes-Oxley led to the disclosure of a situation

that had existed for some time.As another example,Sonix Research Inc.,reported the

following:

Due to its small size and limited ?nancial resources,however,the Company’s chief

?nancial of?cer,a member of management,has been the only employee involved in

11

Discretionary accruals are estimated using the following OLS regression:Total Accruals t /Total Assets t ?1??0??1(1/Total Assets t ?1)??2(?Revenue t /Total Assets t ?1)??3(PPE t /Total Assets t ?1)?εt .Total Accruals are calculated as the difference between income before extraordinary items (Compustat item 123)and operating cash ?ows (Compustat item 308).We estimate the above regression by two-digit SIC code,requiring at least 20observations in each industry group.Our main tests present the Becker et al.(1998)speci?cation.We also consider the performance-adjusted discretionary accruals prescribed by Kothari et al.(2005)as a robustness check.12It is possible that the causality is reversed.Ashbaugh-Skaife et al.(2007)suggest that a recent restatement results in increased auditor and regulator scrutiny,which may result in additional search procedures or increase the likelihood of a voluntary disclosure of a signi?cant de?ciency.

1152Doyle,Ge,and McVay

The Accounting Review,October 2007

accounting and ?nancial reporting.The Board of Directors has recognized that as a

result,there is no segregation of duties within the accounting function,leaving all

aspects of ?nancial reporting and physical control of cash and equivalents in the hands

of the same https://www.doczj.com/doc/078248760.html,ually,this lack of segregation of duties represents a material

weakness in a company’s internal control over ?nancial reporting;however,based on

the demonstrated integrity and trustworthiness of the Company’s chief ?nancial of?cer,

the Board of Directors has had con?dence that there have been no irregularities in the

Company’s ?nancial reporting or in the protection of its assets.

The above condition has probably existed since the ?rm’s inception.Clearly,not all the

material weakness disclosures are long-standing;however,in our study we operate under

the assumption that,on average,these problems have been around for multiple years,and

measure our accruals quality proxies over the preceding seven years (1996–2002).

An alternative approach is to measure accruals quality in the same period that the

material weakness was reported.We choose not to use this approach because the impending

disclosure of an internal control weakness may cause management and/or the auditor to

intensify their search for misestimated accruals,resulting in more write-downs and thereby

lower accruals quality (Hogan and Wilkins 2005).If these low-quality accruals do not result

from the company’s poor internal controls per se,then a lower concurrent accruals quality

measure could be misattributed to the control system.Our use of an accruals quality mea-

sure that is calculated in the periods preceding the material weakness disclosure helps to

address this competing explanation that auditors applied additional scrutiny and conserva-

tism to the ?rms that they knew would be publicly disclosing their internal control problems.

Innate Firm Characteristics that Affect the Quality of Accruals

Dechow and Dichev (2002)?nd that accruals quality is poorer for ?rms with certain

characteristics,such as for smaller ?rms.We expect that internal control weaknesses will

reduce accruals quality beyond that explained by these innate ?rm characteristics.While

Dechow and Dichev (2002)?nd that smaller ?rms tend to have lower quality accruals,we

expect that,for two equally small ?rms,the company with weak internal controls will have

lower accruals quality.For this reason,we include these ?ve innate ?rm variables as controls

in our analysis:Loss Proportion ,Sales Volatility ,Cash Flow (CFO)Volatility ,Total Assets ,

and Operating Cycle ,as our focus on the effect of the internal control problem,rather

than generic volatility or a ?rm’s operating cycle (see Table 1,Panel B for variable

de?nitions).

Prior research has also identi?ed determinants of material weaknesses in internal con-

trol.Material weakness ?rms tend to be less pro?table,smaller,younger,more complex,

growing rapidly,or undergoing restructuring (e.g.,Krishnan 2005;Ge and McVay 2005;

Ashbaugh-Skaife et al.2007;Doyle et al.2007).13As these characteristics may have a

direct effect on accruals quality,we include one proxy for each of these constructs in our

main regressions as follows:the size of the ?rm (Total Assets ),the age of the ?rm (Firm

Age ),pro?tability (Loss Proportion ),the complexity of the ?rm’s operations (Segments ),

rapid growth (Extreme Sales Growth ),and restructurings (Restructuring Charge );see Table

1,Panel B for de?nitions.

13Krishnan (2005)?nds that internal control problems and audit committee quality are negatively associated.We examine this variable in a sensitivity analysis in Section V;our results are not sensitive to its inclusion.

Accruals Quality and Internal Control over Financial Reporting 1153

The Accounting Review,October 2007

IV .RESULTS

Descriptive Statistics and Univariate Analysis

Table 2,Panel A presents descriptive statistics for our sample of ?rms reporting material

weaknesses.As our comparison group,we present all 2003Compustat ?rms that were not

identi?ed as having an internal control de?ciency and do not have missing data for our

accruals quality measure;we report the results of a difference in means under a two-tailed

t-test for each of the variables.Turning ?rst to Accruals Quality (AQ ),a higher AQ indicates

a higher standard deviation of residuals,and thus lower accruals quality.The mean of AQ

is higher for the material weakness ?rms compared to the control sample (0.070versus

0.057;p-value of 0.001),providing initial support for H1.This univariate result extends to

each of our proxies for accruals quality.The average absolute value of discretionary accruals

is signi?cantly higher for material weakness ?rms (0.166versus 0.133;p-value of 0.001),

and their proportion of historical accounting restatements is also higher (0.139versus 0.092;

p-value of 0.001).Finally,earnings persistence is lower for the material weakness ?rms

(0.697versus 0.736;p-value ?0.001under an F-test).

Overall,the univariate results support H1;however,as noted above,we expect material

weakness ?rms to also have lower innate accruals quality,an expectation supported by

Table 2,Panel A.Material weakness ?rms have more losses,have higher sales and cash

?ow volatility,and are smaller than the control ?rms.In addition,in results measured from

1996through 2002(scaled by average total assets and not tabulated),material weakness

?rms have lower average cash ?ows from operations (?0.012versus 0.020)and lower

average earnings before extraordinary items (?0.100versus ?0.063),but higher average

working capital accruals (0.072versus 0.057).Since the material weakness ?rms tend to

be more volatile and in worse ?nancial condition,it is vital to control for these innate

characteristics in our multivariate tests.14

In Table 2,Panel B we compare account-speci?c material weakness ?rms to company-

level material weakness ?rms.AQ is signi?cantly higher for ?rms that disclose

company-level material weaknesses than for ?rms that disclose account-speci?c material

weaknesses (mean of 0.080versus 0.063).Discretionary Accruals (0.191versus 0.149),

Average Accruals Quality (0.069versus 0.056),and Historical Restatement (0.183versus

0.110)are all higher for the company-level weakness ?rms as well.Finally,Earnings Per-

sistence is lower for the company-level group at 0.668versus 0.728.Overall,the univariate

results seem to provide initial support for H2;?rms with company-level weaknesses have

lower accruals quality than ?rms with account-speci?c weaknesses.The innate variables

associated with lower accruals quality also tend to be higher for the company-level disclo-

sure ?rms,supporting the need for these control variables when testing H2.For example,

?rms with company-level disclosures tend to have more losses and greater sales and cash

?ow volatility compared to their account-speci?c counterparts.They also have lower av-

erage cash ?ows and earnings before extraordinary items,and higher working capital ac-

cruals (not tabulated).Account-speci?c disclosure ?rms tend to be slightly larger and older

and have more segments than company-level disclosure ?rms,consistent with the notion

that the additional complexity associated with size and decentralization creates unique chal-

lenges for these ?rms (Doyle et al.2007).

14Interestingly,while the bulk of the determinants of material weaknesses in internal control are consistent with prior literature,our sample does not exhibit univariate differences for rapid growth.Upon further inspection,this difference is a function of our stringent data requirements to calculate accruals quality;if the means are compared before requiring accruals quality data,then results are consistent with prior research.

1154Doyle,Ge,and McVay

The Accounting Review,October2007

TABLE2 Descriptive Statistics

Panel A:Descriptive Statistics of Material Weakness Firms versus2003Compustat Firms

Variable Material Weakness

Firms

Mean Median

Predicted

Difference

2003Compustat

Firms

(Excluding

Material

Weakness Firms)

Mean Median

t-test of

Mean

Differences

Two-tailed

p-value

Accruals Quality0.0700.055?0.0570.0420.001 Discretionary Accruals0.1660.114?0.1330.0920.001 Average Accruals Quality0.0610.048?0.0490.0370.001 Historical Restatement0.1390.000?0.0920.0000.001 Earnings Persistence0.697NA?0.736NA0.001 Loss Proportion0.4300.4290.3430.2500.001 Sales Volatility0.2910.2220.2390.1700.001 CFO Volatility0.1130.0790.0980.0640.001 Total Assets(in millions)2,097.070197.3363,652.640290.1570.001 Operating Cycle147.539115.301144.209111.4000.544 Firm Age16.49611.00019.22014.0000.001 Segments 4.982 4.000 4.658 4.0000.005 Extreme Sales Growth0.1790.0000.1790.0000.993 Restructuring Charge0.0400.0000.0190.0000.001 Panel B:Descriptive Statistics of Account-Speci?c versus Company-Level Material Weakness Firms

Variable

Account-Speci?c

Material Weakness

Firms

Mean Median

Predicted

Difference

Company-Level

Material Weakness

Firms

Mean Median

t-test of

Mean

Differences

Two-tailed

p-value

Accruals Quality0.0630.052?0.0800.0620.001 Discretionary Accruals0.1490.106?0.1910.1240.003 Average Accruals Quality0.0560.044?0.0690.0570.001 Historical Restatement0.1100.000?0.1830.0000.009 Earnings Persistence0.728NA?0.668NA0.001 Loss Proportion0.3870.2860.4950.4290.001 Sales Volatility0.2720.2110.3200.2350.017 CFO Volatility0.1030.0710.1290.0920.003 Total Assets(in millions)2,457.460248.4711,546.800130.0710.151 Operating Cycle145.683114.359150.382116.4200.645 Firm Age17.49812.00014.93111.0000.008 Segments 5.127 5.000 4.760 4.0000.075 Extreme Sales Growth0.1930.0000.1590.0000.243 Restructuring Charge0.0380.0000.0420.0000.659

(continued on next page)

Accruals Quality and Internal Control over Financial Reporting

1155

The Accounting Review,October 2007TABLE 2(continued)In this table,we present the untransformed values (rather than the natural log)of Total Assets,Operating Cycle,Firm Age ,and Segments for ease of interpretation.The t-test results for the logged values are similar,except for Total Assets in Panel B,where the log of Total Assets is signi?cantly smaller for the company-level material weakness ?rms.The t-test of means uses the pooled method when the underlying variances are equal and the Satterthwaite method when they are unequal.The test on Earnings Persistence is an F-test on the difference in incremental power of the Earnings ?MW Account-Speci?c and Earnings ?MW Company-Level interaction coef?cients.In Panel A,for the Accruals Quality t-test there are 705material weakness ?rm observations (from August 2002to November 2005)and 3,280control ?rm observations (see Table 1,Panel A).In Panel B,for the Accruals Quality t-test there are 426account-speci?c material weakness ?rm observations and 279company-level observations.For both Panels A and B,for the other four accruals quality proxies the sample requirement is the number of observations with data for the particular accruals quality metric.For the control variables,the sample requirement is to have suf?cient data to calculate Accruals Quality .Each of the continuous variables is winsorized at 1percent and 99percent to mitigate outliers.All variables are described in Table 1,Panel B.

Turning to Table 3,which presents a correlation matrix for the main variables,material

weakness ?rms are positively correlated with most of the innate characteristics of ?rms

with poor accruals quality identi?ed in Dechow and Dichev (2002).Material weakness

disclosures are positively associated with a higher proportion of losses,higher cash ?ow

and sales volatility,and longer operating cycles,which raises the possibility that these innate

?rm characteristics are driving the lower accruals quality,and not the material weaknesses

per se.Our multivariate analyses below investigate our hypotheses further.15

Multivariate Analysis of Accruals Quality and Material Weaknesses

The ?rst column of results in Table 4contains the regression estimates of accruals

quality on an indicator variable,material weakness (MW ),where MW is equal to 1if the

?rm reports a material weakness,and 0if the ?rm is in the control group.We present our

primary accruals quality measure (AQ )as the dependent variable (recall that a higher value

represents lower accruals quality)and control for the innate ?rm characteristics related to

accruals quality as well as the determinants of material weaknesses.As noted above,we

include only one proxy for each of the determinants of material weaknesses for succinct-

ness.Results are not sensitive to the inclusion of the comprehensive list of variables;the

coef?cient on MW is 0.004with a p-value of 0.003when all variables are included.

Our main variable of interest,MW,is positively related to the accruals quality measure

(t-statistic ?2.51),supporting H1and suggesting material weakness ?rms have poorer

accruals quality.The economic magnitude of the coef?cient on MW (??0.004)is also

signi?cant.For the typical control ?rm (median Accruals Quality of 0.042from Table 2,

Panel A)a switch from MW ?0to MW ?1results in a 9.5percent (0.004divided by

0.042)increase in the accruals quality metric (implying poorer accruals quality),after con-

trolling for other known determinants of accruals quality.Turning to our control variables,

each of the variables measuring innate ?rm characteristics that are expected to affect ac-

cruals quality is signi?cant in the predicted direction (Dechow and Dichev 2002).Finally,

15As several of our variables are correlated at 0.40or more,we examine the variance in?ation factors (VIFs)for each of our multivariate regressions below to help ensure that multicollinearity is not a major concern.None of our calculated VIFs exceed 2,which is well below the level indicating harmful multicollinearity (Kennedy 1998,190).

1156Doyle,Ge,and McVay

The

Accounting Review,October 2007TABLE 3

Spearman/Pearson Correlation Matrix

MW AQ Disc.Accruals Loss Proportion Sales Volatility CFO Volatility Total Assets Operating Cycle Firm Age Segments Extreme

Sales Growth Restructuring Charge

MW 0.0910.0820.0930.0870.053?0.0490.025?0.0810.0630.0000.090(0.0001)(0.0001)(0.0001)(0.0001)(0.0007)(0.0019)(0.1135)(0.0001)(0.0001)(0.9925)(0.0001)

AQ 0.1130.5800.4570.4790.697?0.5510.119?0.270?0.2090.1270.013(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.4137)Discretionary 0.1130.6750.455?0.138?0.127?0.4050.045?0.352?0.1580.1180.061Accruals (0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0002)

Loss 0.1070.4860.5200.2450.535?0.5240.073?0.413?0.2420.1290.125Proportion (0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)Sales 0.0930.539?0.3880.2860.416?0.373?0.095?0.199?0.1140.0670.052Volatility (0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0013)CFO 0.0830.757?0.3450.5670.529?0.5400.112?0.298?0.2580.184?0.005Volatility (0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.7457)Total Assets ?0.053?0.595?0.517?0.522?0.403?0.614?0.0970.3040.416?0.0960.039(0.0008)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0174)Operating 0.0260.1920.1210.092?0.0510.146?0.1590.0010.1090.098?0.009Cycle (0.1024)(0.0001)(0.0001)(0.0001)(0.0014)(0.0001)(0.0001)(0.9387)(0.0001)(0.0001)(0.5648)Firm Age ?0.080?0.312?0.448?0.393?0.190?0.3670.2940.0160.191?0.101?0.041(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.3369)(0.0001)(0.0001)(0.0128)Segments 0.066?0.194?0.161?0.223?0.077?0.2510.4020.1330.186?0.0420.042(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0001)(0.0085)(0.0100)Extreme Sales 0.0000.1120.1090.1160.0590.166?0.0900.092?0.100?0.040?0.081Growth (0.9925)(0.0001)(0.0001)(0.0001)(0.0002)(0.0001)(0.0001)(0.0001)(0.0001)(0.0109)(0.0001)Restructuring 0.056?0.0050.0300.1110.041?0.0150.1760.032?0.0310.221?0.093Charge (0.0005)(0.0001)(0.063)(0.0001)(0.0114)(0.3729)(0.0001)(0.0473)(0.0624)(0.0001)(0.0001)

Pearson correlations are reported above the diagonal,and Spearman correlations are reported below.Each of the continuous variables is winsorized at 1percent and 99percent to mitigate outliers.All variables are described in Table 1,Panel B.

Accruals Quality and Internal Control over Financial Reporting 1157

The Accounting Review,October 2007TABLE 4

Accruals Quality and Material Weaknesses

Independent Variables Predicted Sign Dependent Variable ?Accruals Quality (AQ )

Coef?cient Estimate (t-statistic)Coef?cient Estimate (t-statistic)

Intercept 0.026(5.22a )

0.026(5.21a )

MW ?0.004(2.51b )MW Account-Speci?c ?0.002(0.94)

MW Company-Level ?0.007(3.09a )

Loss Proportion ?0.006(2.93a )0.006(2.89a )

Sales Volatility ?0.047(16.13a )0.047(16.12a )

CFO Volatility ?0.233(31.78a )0.233(31.78a )

Total Assets ??0.004(?12.28a )?0.004(?12.22a )

Operating Cycle ?0.004(5.26a )0.004(5.23a )

Firm Age ?0.001(?1.11)?0.001(?1.08)

Segments 0.002(1.80c )0.002(1.79c )

Extreme Sales Growth 0.000(0.05)0.000(0.13)

Restructuring Charge 0.001(0.21)0.001(0.21)

Number of Material Weakness Obs.645645

Number of Total Obs.3,5883,588

Adjusted R 2

54.82%54.85%a,b,c Signi?cant at a two-tailed p-value ?0.01,0.05,or 0.10,respectively.Each of the continuous variables is winsorized at 1percent and 99percent to mitigate outliers.All variables are de?ned in Table 1,Panel B.

the additional controls we identi?ed through our examination of the internal control liter-

ature are largely insigni?cant.

We next examine the relation between accruals quality and the different types of internal

control de?ciencies.Hypothesis 2predicts that company-level material weaknesses will

have a stronger association with accruals quality than will account-speci?c material weak-

nesses,since company-level internal control de?ciencies are less ‘‘auditable’’and thus more

likely to result in erroneous accruals in the ?led ?nancial statements.As in our earlier tests,

we control for the innate ?rm characteristics that proxy for the inherent dif?culty in accrual

estimation and the determinants of material weaknesses.

1158Doyle,Ge,and McVay

The Accounting Review,October 2007

Referring to the second column of results in Table 4,account-speci?c material weak-

nesses are not signi?cantly associated with accruals quality (t-statistic ?0.94)while

company-level material weaknesses are positively related to AQ (t-statistic ?3.09).Con-

sistent with H2,the magnitude of the coef?cient on account-speci?c weaknesses (?

?0.002)is signi?cantly lower than the magnitude of the coef?cient on company-level weaknesses (??0.007)under an F-test (p ?0.057,two-tailed).Economically speaking,

the presence of a company-level (account-speci?c)material weakness is expected to result

in an AQ that is 16.7(4.8)percent larger than the control ?rms.

Our ?nding that account-speci?c internal control problems are not signi?cantly asso-

ciated with lower accruals quality complements Hogan and Wilkins (2006),who ?nd that

auditor fees were signi?cantly higher for material weakness ?rms in the year prior to the

disclosure of a signi?cant de?ciency.Thus,our combined results are consistent with au-

ditors historically ‘‘auditing around’’the account-speci?c internal control problems,thereby

mitigating the negative impact on accruals quality.

Multivariate Analysis of Additional Accruals Quality Variables

In Table 5,we replicate our main results for our four additional measures of accruals

quality.Referring to the ?rst column of results in Table 5,consistent with Ashbaugh-Skaife

et al.(2006),material weakness disclosures are positively associated with Discretionary

Accruals (t-statistic ?1.89).16We parse out account-speci?c and company-level problems

in the second column of results.While the coef?cient on company-level problems appears

to be larger in magnitude than that on account-speci?c weaknesses,consistent with our

main results,the coef?cients are not signi?cantly different from one another under an F-

test (p ?0.410,two-tailed).

Our second alternative proxy,Average Accruals Quality ,is presented in the third and

fourth columns of results in Table 5.Given the fact that this variable is highly correlated

with our primary accruals quality measure,it is not surprising that the results are very

similar to those shown in Table 4and continue to support H1and H2;the coef?cients on

account-speci?c and company-level weaknesses are signi?cantly different under an F-test

(p ?0.063,two-tailed).

In the third set of columns in Table 5we present the estimates from a logistic regression,

where Historical Restatement is equal to 1if the company had a restatement from 1997–

2002.The coef?cient on MW is positive and signi?cant (?2?12.21),and the breakdown by type is consistent with the results above—the lower accruals quality is driven by

company-level weaknesses.The difference between the coef?cients is statistically signi?-

cant under an F-test (p ?0.008,two-tailed).

Our ?nal alternative measure of accruals quality is Earnings Persistence ,presented in

the ?nal two columns in Table 5.We interact MW with Earnings (Compustat data item

#123scaled by average total assets)to evaluate the incremental persistence of material

weakness ?rms for 2002.The interaction term on MW is negative and signi?cant (?0.067;

t-statistic ?2.73),suggesting again that the earnings/accruals quality of material weakness

?rms is poorer than that of our control ?rms.Finally,referring to the ?nal column of results,

MW is only negatively related to earnings persistence for company-level weaknesses,and

this coef?cient is statistically different from that on account-speci?c weaknesses under an

F-test (p ?0.001,two-tailed).

16The results remain similar if we use performance-matched discretionary accruals (t ?1.82)following Kothari et al.(2005).

Accruals

Quality and Internal Control over Financial Reporting 1159

The Accounting Review,October

2007TABLE 5

Alternative Measures of Accruals Quality and Material Weaknesses

Dependent Variable:

Independent Variables Predicted Sign

Discretionary Accruals Coef?cient Estimate (t-statistic)Average Accruals Quality Coef?cient Estimate (t-statistic)Historical Restatement Coef?cient Estimate (?2)Future Earnings (Persistence)Coef?cient Estimate (t-statistic)Intercept

0.302(17.03a )0.301(17.01a )0.028(6.32a )0.028(6.32a )?4.118(90.25a )?4.132(90.51a )0.065(2.43b )0.058(2.17b )MW ?d

0.011(1.89c )0.005(3.66a )0.433(12.21a )?0.018(?1.88c )MW Account-Speci?c ?

0.006(0.82)0.003(1.91c )0.177(1.16)?0.004(?0.31)MW Company-Level ?

0.018(2.17b )0.008(3.83a )0.748(20.58a )?0.031(?2.15b )Earnings

0.647(45.30a )0.654(46.28a )Earnings ?MW ?

?0.067(?2.73a )Earnings MW Account-Speci?c ?

0.262(6.47a )Earnings MW Company-Level ?

?0.207(?7.30a )Loss Proportion

0.102(13.36a )0.101(13.33a )0.001(0.63)0.001(0.59)0.432(4.49b )0.415(4.14b )?0.067(?4.87a )?0.058(?4.29a )Sales Volatility

0.000(1.60)0.000(1.56)0.040(16.00a )0.040(15.99a )0.600(6.79a )0.606(6.87a )0.090(5.66a )0.085(5.39a )(continued on next page )

1160Doyle,Ge,and

McVay

The

Accounting Review,October 2007TABLE 5(continued)

Dependent Variable:Independent Variables Predicted Sign Discretionary Accruals Coef?cient Estimate (t-statistic)Average Accruals Quality Coef?cient Estimate (t-statistic)Historical Restatement Coef?cient Estimate (?2)Future Earnings (Persistence)

Coef?cient Estimate (t-statistic)CFO Volatility 0.000(4.14a )0.000(4.16a )0.178(27.85a )0.178(27.84a )?0.62(0.011)?0.088(0.02)?0.429(?10.60a )?0.419(?10.48a )

Total Assets ?0.019(?14.31a )?0.019(?14.25a )?0.003(?11.22a )?0.003(?11.16a )0.085(8.31a )0.086(8.64a )0.004(2.24b )0.004(2.30b )

Operating Cycle ?0.002(?0.88)?0.002(?0.90)0.004(6.27a )0.004(6.25a )0.046(0.52)0.045(0.50)?0.006(?1.49)?0.004(?1.15)Firm Age ?0.040(?11.74a )?0.040(?11.71a )?0.003(?3.48a )?0.003(?3.45a )0.178(5.62b )0.182(5.89b )?0.010(?2.15b )?0.011(?2.29b )Segments 0.008(1.94c )0.009(1.93c )0.001(0.97)0.001(0.95)0.279(7.09a )0.279(7.03a )0.000(0.01)?0.000(?0.03)Extreme Sales Growth 0.020(3.56a )0.020(3.61a )0.002(1.49)0.002(1.57)?0.566(12.99a )?0.554(12.38a )0.043(5.01a )0.043(5.01a )Restructuring Charge 0.053(2.14b )0.052(2.12b )?0.002(?0.36)?0.002(?0.36) 1.023(4.75b ) 1.017(4.68b )?0.049(?1.20)?0.032(?0.80)Number of Material Weakness Obs.650650645645757757716716Number of Total Obs.3,5813,5813,5883,5884,2894,2894,1494,149Adjusted R 2/Pseudo R 227.69%27.69%50.15%50.19% 4.01% 4.35%59.50%60.46%a,b,c Signi?cant at a two-tailed p-value ?0.01,0.05,or 0.10,respectively.

d Not

e that the main effect o

f MW has no prediction when the dependent variable is Future Earnings .For this model,the variable of interest is the interaction between Earnings and MW .

Earnings ?earnings before extraordinary items (data item 123);and Future Earnings ?one-year-ahead earnings.

Each of the continuous variables is winsorized at 1percent and 99percent to mitigate outliers.All other variables are de?ned in Table 1,Panel B.

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家庭教养方式对幼儿性格的影响

家庭教养方式对幼儿性格的影响

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浅谈家庭教养方式对幼儿性格的影响 孩子从呱呱落地的那一刻起,父母就担任起了孩子的第一任教师这个重要角色。家庭是孩子的第一个课堂,父母对孩子的教养态度和教养方式对孩子性格的形成起着重要作用。弗洛姆说过:“家庭是社会的精神媒介,是通过自己适应家庭,儿童获得了后来在社会生活中使他适应其所必须履行的职责的性格。” 由此可见,家庭对幼儿性格影响的重要作用。父母是孩子接触社会和认识社会的媒介,孩子的成长过程,父母为其提供了生理和物质的需要,而且也提供了心理需要。父母在教养子女的过程中所表现的各种态度,潜移默化地影响着幼儿的性格。 一、家庭教养方式和性格的界定 根据资料表明:“所谓家庭教养方式是指父母在抚养、教育儿童的活动中通常使用的方法和形式,是父母各种教养行为的特征概括,是一种具有相当稳定性的行为风格。” 家庭教养方式是在父母与孩子的互动过程中形成并发展的。这种互动的结果不仅从父母对儿童的生理养育活动中体现,而且也从父母对孩子的行为规范中传递体现。 性格是一种心理特征,陈帼眉教授认为:“性格主要是表现在人对现实的态度和惯常的行为方式中的比较稳定的心理特征;幼儿性格是在先天气质类型的基础上,在幼儿与父母相互作用中逐渐形成的。” 幼儿性格形成起源于婴幼儿期的生活。每位父母都以自己独特的教

养方式教养幼儿,使幼儿产生固定性反应,即形成了习惯,每个习惯统一起来,作为一种素质存在,便构成了幼儿的性格特征。 因此,父母的教养方式对幼儿性格的形成起着制约和导向的作用,它与幼儿的性格有密切联系。 二、家庭教养方式的类型、特点及对幼儿性格的影响。 (一)家庭教养方式的类型 据调查研究发现,家庭教养根据父母的教养方式不同,可分为常见的以下几种类型:专制型、溺爱型、严厉型、保护型、民主型这五种类型。 (二)家庭教养方式的类型特点及对幼儿性格的影响 据调查显示,不同类型的父母教养方式的特点对幼儿性格的影响是不同的。 1、专制型的父母教养方式 (1)专制型父母教养方式的特点 这种类型的父母要求孩子绝对服从自己,一切听自己的,并用权利强制孩子听自己的,孩子没有绝对的自由,父母已经为孩子勾画出了他们“理想”的蓝图,只要孩子照做就行了,父母希望对孩子的所有行为永远加以保护和监督。他们对孩子的理解和温暖少、强制作风比较多、批评多于表扬;与子女之间的关系是“管”与“被管”的关系;两代人之间有一层隔阂,有一条代沟。实际上家长的出发点是好的,也都是为了孩子,可是孩子并不能够理解和接受家长的所有做法。 (2)专制型父母教养方式对孩子性格的影响

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细致"的说教,哪怕是同样的错误短期内重复发生了若干次。这样家 庭里的孩子很容易形成错误的道德判断,认为无论做什么事情,只 要是爸爸妈妈说教过了那么事情就此完结了。所以父母应从家庭实 际出发,根据孩子身心发育的特点和品德形成的规律,从日常生活 中的小事抓起,对孩子进行生动的渗透性的道德启蒙教育。 一、教师以身作则,让幼儿在模仿中进步。 二、多表扬少批评,让幼儿在开心中进步。 想得到老师的喜欢和表扬是每个幼儿的心愿,当他们得到表扬和夸奖时,心情会感到轻松愉快,并会继续努力表现出好的思想行为,当他们受到老师的批评和训斥时,则会表现出了羞愧或反感,胆小 的会改正,但更多的是屡教不改,甚至是变本加厉,因此,我们在 对幼儿进行教育时,要尽量多用表扬少用批评,要留心观察每一个 幼儿在一日活动中的行为表现,经常把那些有好行为好习惯的幼儿 或有进步的幼儿提出来进行表扬和鼓励,这样不仅会增强那些受到 表扬的幼儿的自信心和荣誉感,在今后会继续表现出良好的思想品 德和行为习惯,其他幼儿看到同伴得到表扬,也会向他们学习,积 极做出好的行为表现,以求得到老师的表扬和夸奖。在这种相互学习、争先恐后的激励机制中,具有好行为和好习惯的幼儿会越来越多,我们的德育教育就会收到良好的效果。比如:这个学期我到大(6)班代保育工作时,贺敏然等几个幼儿特别爱帮老师收拾餐具、打 扫卫生,我就抓住这个机会当着全班小朋友的面表扬他们的好行为,结果后来有许多小朋友在吃晚午餐后都争先恐后地帮着老师收餐具、擦桌子、叠凳子,甚至拖地、扫地,看他们那一个个热爱劳动的身 影真是可爱极了,虽然他们因年龄太小,打扫得不太干净,但我也 表扬了他们那种热爱劳动、乐于做事的好思想、好行为,并趁机教 会了他们收拾碗筷、桌椅、扫地拖地的正确方法。 三、学规范、明是非,在知识中进步。 四、家园一致,让幼儿在同心中进步。 培养孩子的行为习惯,家庭的教育和影响不容忽视,试想:如果一个家长满口脏话、动手就打人,那他的孩子怎么可能做到文明礼

品质部职责与岗位说明书

品质部职责与岗位说明书 Prepared on 22 November 2020

第一部部门使命与职能品质部 部门使命 严格执行我司企业检验标准对物料进行检验并不断完善企业检验标准,负责材料,半成品和成品的检验,负责报表的整理归档,负责处理过程中不良问题并跟进。 主要职能 1.来料检验 ?严格执行原材料、外购、外协件的验收制度,对因违反制度而造成的质量事故及经济损失负责。 ?做好进料验收、检验、试验记录的存档保管工作,确保原始记录准确、清晰、完整。 ?及时将来料验收中的发现的不合格情况向经理报告,并提出处理意见。 ?做好进料检验状态的标识工作,并符合可追溯性。 ?负责材料品质异常的反馈、跟进、处理、验证与相关部门沟通协调处理好相关事情。 ?跟进品质异常发出的纠正预防措施报告是否及时回复。 2.制程检验 ?严格执行制程检验规程,对因违反制度而造成的质量事故及经济损失负责。 ?认真执行巡检制度,做好巡检工作,对所检查的产品,按规定做好产品的检验状态标识,对错检、漏检负责。 ?做好检查中发现的不合格品的隔离工作。 ?负责新产品试产和首件确认工作,填写相关报表,并跟进新产品。 ?及时向经理汇报检查中发现的不合格情况,对因不汇报造成的后果负责。 ?参与生产线质量改进工作,并提出质量改进建议。 ?督促生产员工遵守工艺纪律,对不遵守工艺纪律的情况及时向班长或经理汇报。 ?积极配合主管领导处理客户投诉,品质检讨和纠正预防措施工作。 ?负责培训在线检验员检验水平和能力。

?协调车间搞好日常检验和5S工作。 3.出货检验 ?严格执行出货检验规程,对因违反制度而造成的质量事故及经济损失负责。 ?执行产品入库质量检验流程,做好入库产品(半成品或成品)的检验工作,对错、漏检负责。 ?按出货检验规范检验,并做好记录,做好产品的检验状态标识。 ?及时将出货检验中发现的不合格情况向经理汇报,并提出处理意见,对因不汇报造成的后果负责。 ?做好仓库成品检验状态的标识,对仓库中超过检验有效期的成品进行复检。 ?及时跟进客户反馈。 第二部分岗位说明书 (一)IQC进料检验员 IQC岗位说明书

家庭教养方式

1、,即父母与未婚子女一起居住。家庭结构较为简单,家庭结构成员之间交往增多,容易形成亲密感情,这是父母对儿女实施教育的基础。在这种家庭中,父母对孩子的教育思想、教育认识容易达成一致。但由于家庭成员少,孩子的交往对象单一,不利于形成较强的交往能力。 2、,即由祖辈、父辈、孙辈三代人构成的家庭类型。由于人口较多,规模较大,层次较复杂,儿童可以同时和几代人交往,学习长辈们的相处方式,锻炼各种适应社会生活的交往能力,促进个体社会化。但在这种家庭中,家长之间容易引起冲突从而影响孩子的成长。这两种家庭结构又被称为“完整家庭”。 3、,即父母一方或双方死亡,或者由于种种原因导致离异等造成的家庭结构缺损。生长在这类家庭中,儿童的社会化所受的影响取决于儿童的性别、年龄失去父亲或母亲的原因以及父母的态度。如果父母离异了,但在教育孩子问题上仍能进行沟通,双方能就孩子成长过程中的问题及时交流,这样对孩子的影响将会大大降低。 家庭教养方式摘要:近些年来,许多人认识到培养性格健全的孩子非常的重要,然而要培养一个性格健全的孩子并非一件容易的事。孩子小,思想行为都容易受到外界环境的影响。父母不同的教养方式会对孩子以后形成一个什么样的性格有着直接的关系。本文主要为大家展示了现代社会普遍存在的三种父母教养方式,即:专制型、放任型、民主型。 关键词:教养方式、成长、性格 父母教育问题自古以来就受到人们的关注,但被做为一种学科进行研究,在我国也就是近年来的事情。这是时代的发展,人才的需求,国民整体素质提高所必须涉及的问题。这里与家长们探讨父母教育的重要性,目的是要父母与社会、教育部门共同担负起教育下一代的任务。 一父母教养方式及其分类 父母教养方式是父母教养观念、教养行为及其对儿童的情感表现的一种组合方式。这种组合方式是相对稳定的,不随情境的改变而变化,它反映了亲自交往的实质。 在心理学中,把父母教养方式归纳为两个维度:接受—拒绝维度和控制—容许维度,根据这两个维度的不同组合,可以形成四种教养方式:权威型、专断型、溺爱型、忽视型。 在多数情况下,权威型最有利于孩子的成长,这是一种理性且民主的教养方式,父母在孩子心目中有权威,这种权威来自父母对孩子的理解与尊重,来自他们与孩子的经常交流及对子女的帮助。父母为孩子设立恰当的目标,对孩子的行为作出适当限制,并且奖惩分明。这种教养方式下的儿童独立性较强,自尊感和自信心较强,善于自我控制和解决问题,喜欢与人交往并具有一定的社会责任感。 专断型父母则要求孩子绝对地服从自己,对孩子的要求很严厉,提出很高的行为标准,稍有不顺,非打即罚。这种教养方式下的儿童常常表现出焦虑、退缩和不快乐,自我调节能力和适应性都比较差,缺乏社会责任感。长此以往,将会与父母关系疏远,产生叛逆心理。 溺爱型的父母对孩子充满了爱与期望,但对孩子缺乏控制和要求,对孩子违反规则的行为采取忽视或接受的态度,很少发怒或训斥儿童。这种教养方式下成长起来的儿童表现得很不成熟,自我控制能力很差,常以哭闹等方式寻求即时的满足,对父母依赖性很强,缺乏自信、恒心、毅力和责任感,具有较强的冲动性和攻击性,对父母缺乏孝心。 忽视型的父母对孩子的成长表现出漠不关心的态度,既缺乏爱的情感和积极反应,又缺少行为方面的要求和控制。跟孩子在一起的时间很少,有时会对孩子流露出厌烦、不愿搭理的态度。不管出于何种原因,这种极端的忽略也可以视为对孩子的一种虐待,这是对孩子情感生活和物质生活的剥夺。它会使孩子出现

品质部职能说明

品质部职能分解 品质部管理职责 品质部职责: a.企业品质制度的建立及推动执行; b.品质活动之执行与推动; c.进料、在制品、成品品质规范的制定与推动执行; d.制程品质管制能力的分析,异常的改善; e.制程品质的巡回检验与控制; f.客户投诉与退货的处理与调查、分析、回复原因及改善措施; g.企业品质异常的仲裁及处理; h.量规、检验仪器的校正与管制; i.产品开发与试制的参与; j.不合格品预防措施的订立与执行; k.协力厂品质能力的辅导、品质能力与品质管制绩效的评估; l.品质培训计划的制定与推动及执行; m.品质报告与成本的分析; n.品质保证方案的拟定并推动全面质量管理活动的进行; o.其他品质管制事项的制定。 1.品质部主管 a. 品管系统之研究、完善;品质异常之研究、改善。 b.负责组织产品全过程的检验和试验的质量检验工作,对所有交付产品的质量符合性负责。 c.组织指导检验员对所有检验情况进行记录,并填写产品检验记录和有关检验报告。 d. 客户投诉之调查、处理及改善对策之提出;参与日常不合格品的处理、评审、会签。

e.对错、漏检造成的批次性问题及质量事故负领导责任。 f. 训练计划之提出、执行;组织检验员的培训学习考核工作,保证检验员合格上岗,提高技术水平。 g.做好质量印章管理工作,对印章管理混乱而造成质量问题负责。 h.参与工模夹具、工艺装备验证、验收和维修的质量检验。 i.参与对分供方质量保证能力的考核、验证工作。 j.教育职工坚持“质量第一”,严格执行检验制度 k.教育检验员当好产品质量的检验员、“质量第一”的宣传员和生产技术的辅导员。 l.及时处理质量问题和反馈质量信息;全面质量管理之推进。 m.品质方针、制度之遵守与推动;品质计划之制定。 n. 完成公司和上级交代的其它工作,并对上级负责。 2.进料检验IQC a.公司所有原材料进厂检验。 b.公司所有外协件进厂检验。 c.及时准确的判定物料是否合格,避免影响生产。 d.及时对检验不合格品进行处理、控制、标识、反馈、要求改善并追踪改善效果。 e.及时准确完成IQC日报、供应商履历表登记,报表需记录管理要求。 f.对生产中出现的不良品退货进行准确判定,生产及来料不良不可混放,外协加工厂退货的判定及请示。G.完成公司和上级交代的其它工作,并对上级负责。 3.生产过程检验IPQC a.对公司所有工序产品品质进行巡查,及时发现问题。 b.对每一生产单首件进行材料、外观、结构、功能的确认,新产品交工程部确认签字。 c.对每小时出现的前二项不良进行追踪原因,并跟催改善。 d.对成品进行抽检及时发现不稳定现象。 e.依BOM单、生产单对包装首件进行确认。

1父母教养方式对幼儿发展影响的研究

1父母教养方式对幼儿发展影响的研究

华中师范大学高等教育自学考试 毕业论文 父母教养方式对幼儿发展影响的研究 准考证号: 013712212453 姓名:徐婷 专业:学前教育 办学点:郧阳师专 指导教师:王凤 2014年10月18日 华中师范大学高等教育自学考试办公室印制

父母教养方式对幼儿发展影响的研究内容摘要:在我国,对幼儿的引导、教育,往往被认为是幼儿教师的事情。在这一传统思想的支配下,忽视了父母的教养方式对幼儿的影响。父母是孩子的第一任老师,父母的教养方式的好坏对孩子有着重要的影响。国内外的一些研究表明父母通过言传身教潜移默化地影响着子女的行为,积极的家庭教养方式使儿童形成积极地人格特征,而长期不当的家庭教养方式易使子女形成难于适应社会的不良人格特征,如何选择正确的教养方式,如何根据幼儿不同成长阶段调整教养方式,是当代幼儿教育的重要课题。本文从权威型、专断型、溺爱型和忽视型四种典型的家庭教养方式深入分析了不同的父母教养方式的特点及其影响因素以及不同的教养方式对幼儿心理发展、社会性发展和个性发展三个方面的重要影响,深刻的阐述了良好的父母教养方式对于幼儿全面、健康的发展的重要作用,并且很好地诠释了建立良好教养方式的策略与方法。 关键词:教养方式幼儿发展成长影响

目录 前言 (1) 1父母教养方式分类及其影响因素 (2) 1.1父母教养方式的分类 (2) 1.1.1权威型 (2) 1.1.2专断型 (3) 1.1.3溺爱型 (3) 1.1.4忽视型 (4) 1.2影响父母教养方式的因素 (4) 1.2.1幼儿的年龄与性别 (5) 1.2.2父母的受教育程度 (5) 1.2.3父母的经历 (5) 1.2.4社会经济地位 (5) 1.2.5父母的个性特征 (6) 2父母教养方式对幼儿发展的影响 (7) 2.1对幼儿心理过程发展的影响 (7) 2.2对幼儿社会性发展的影响 (9) 2.3对幼儿个性发展的影响 (10) 3建立良好教养方式的策略 (11) 3.1加强对幼儿心理素质的养成教育 (11) 3.2提倡民主型家庭教养方式 (11)

幼儿园小班思想品德教育总结

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