The role of confidence in tax return preparation using tax software

This chapter investigates the nature of tax preparers’ confidence, as well as how the introduction of a tax decision support system (TDSS) affects tax preparers’ confidence levels. Psychological theories of confidence (e.g., Einhorn & Hogarth, 1978) are drawn upon to develop predictions regarding the role of process (ex ante) and outcome (ex post) confidence in tax return preparation. An experimental methodology is used with 114 inexperienced and experienced participants who prepare an individual income tax return manually or with tax preparation software (a TDSS). Less-experienced tax preparers have lower levels of ex-ante confidence and are more likely to be overconfident in the accuracy of their performance. Furthermore, when examining only the participants who made errors in their tax return preparation task, those that prepare the return with the TDSS are significantly more likely to be overconfident in their performance. These results support the predictions of Noga and Arnold (2002) and suggest that inexperienced users’ over-reliance on a TDSS (Masselli, Ricketts, Arnold, & Sutton, 2002) may be due to individuals’ overconfidence in the accuracy of their performance with the software.

[1]  Vicky Arnold,et al.  Do tax decision support systems affect the accuracy of tax compliance decisions? , 2002, Int. J. Account. Inf. Syst..

[2]  The Effects of Tax Software and Paid Preparers on Compliance Costs , 2005, National Tax Journal.

[3]  Fred D. Davis,et al.  Computer-Assisted Decision Making: Performance, Beliefs, and the Illusion of Control , 1994 .

[4]  S. Plous The psychology of judgment and decision making , 1994 .

[5]  R. Hogarth Judgement and choice: The psychology of decision , 1982 .

[6]  S. Oskamp OVERCONFIDENCE IN CASE-STUDY JUDGMENTS. , 1965, Journal of consulting psychology.

[7]  B. Fischhoff,et al.  Calibration of probabilities: the state of the art to 1980 , 1982 .

[8]  Ilan Fischer,et al.  When do those who know more also know more about how much they know? The development of confidence and performance in categorical decision tasks , 2005 .

[9]  Fred D. Davis,et al.  User Perceptions of Decision Support Effectiveness: Two Production Planning Experiments * , 1994 .

[10]  Surinder Singh Kahai,et al.  Active involvement, familiarity, framing, and the illusion of control during decision support system use , 1998, Decis. Support Syst..

[11]  S. Ahlawat,et al.  Order effects and memory for evidence in individual versus group decision making in auditing , 1999 .

[12]  C. Varey,et al.  Towards a Consensus on Overconfidence , 1996 .

[13]  George M. Kasper,et al.  A Theory of Decision Support System Design for User Calibration , 1996, Inf. Syst. Res..

[14]  Gideon Keren,et al.  Facing uncertainty in the game of bridge: A calibration study , 1987 .

[15]  A. Tversky,et al.  Intuitive Prediction: Biases and Corrective Procedures , 1982 .

[16]  Ilana Ritov,et al.  The affective costs of overconfidence , 2004 .

[17]  H. Arkes,et al.  Factors influencing the use of a decision rule in a probabilistic task , 1986 .

[18]  Stuart Oskamp,et al.  The relationship of clinical experience and training methods to several criteria of clinical prediction. , 1962 .

[19]  R. Hogarth,et al.  Confidence in judgment: Persistence of the illusion of validity. , 1978 .

[20]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[21]  Emilie M. Roth,et al.  Cognitive Engineering: Human Problem Solving with Tools , 1988 .

[22]  Rebecca A. Henry,et al.  Accuracy and confidence in group judgment , 1989 .

[23]  Rolph E. Anderson,et al.  Multivariate Data Analysis: Text and Readings , 1979 .

[24]  L. Hardy,et al.  The relative impact of cognitive anxiety and self-confidence upon sport performance: a meta-analysis , 2003, Journal of sports sciences.

[25]  J. Tirole,et al.  Self-Confidence and Personal Motivation , 2002 .

[26]  Sarah E. Bonner Judgment and Decision Making in Accounting , 2007 .

[27]  Vicky Arnold,et al.  The Impact of Embedded Intelligent Agents on Tax‐Reporting Decisions , 2002 .

[28]  Lyle Brenner,et al.  Overconfidence in Probability and Frequency Judgments: A Critical Examination , 1996 .