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Journal articles on the topic 'Performance confidence'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Compte, Olivier, and Andrew Postlewaite. "Confidence-Enhanced Performance." American Economic Review 94, no. 5 (November 1, 2004): 1536–57. http://dx.doi.org/10.1257/0002828043052204.

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There is ample evidence that emotions affect performance. Positive emotions can improve performance, while negative ones can diminish it. For example, the fears induced by the possibility of failure or of negative evaluations have physiological consequences (shaking, loss of concentration) that may impair performance in sports, on stage, or at school. There is also ample evidence that individuals have distorted recollection of past events and distorted attributions of the causes of success or failure. Recollection of good events or successes is typically easier than recollection of bad ones or failures. Successes tend to be attributed to intrinsic aptitudes or effort, while failures are attributed to bad luck. In addition, these attributions are often reversed when judging the performance of others. The objective of this paper is to incorporate the phenomenon that emotions affect performance into an otherwise standard decision theoretic model and show that in a world where performance depends on emotions, biases in information processing enhance welfare.

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2

Subramaniam, Murali, and Lawrence Leemis. "Confidence interval scatterplots for evaluating confidence interval performance." Journal of Statistical Computation and Simulation 30, no. 2 (September 1988): 129–43. http://dx.doi.org/10.1080/00949658808811089.

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3

Azimova, M. "Self-confidence in Oral Performance." Bulletin of Science and Practice 6, no. 4 (April 15, 2020): 444–52. http://dx.doi.org/10.33619/2414-2948/53/52.

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This article indicates the level of self-confidence during the oral performance of the students such as in speaking activities as well as the self-efficacy in their oral task achievements. Self-confidence is believed to be a psychological factor which has a considerable influence on students’ speaking skills. The purpose of this article is identifying the student’s self-confidence conducting the students’ survey on their self-confidence, in acquiring the English language with the help of questionnaire and students’ responds are analyzed by the author.

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4

Hollenbeck, George P., and Douglas T. Hall. "Self-confidence and Leader Performance." Organizational Dynamics 33, no. 3 (August 2004): 254–69. http://dx.doi.org/10.1016/j.orgdyn.2004.06.003.

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5

Stankov, Lazar, and Jihyun Lee. "CONFIDENCE AND COGNITIVE TEST PERFORMANCE." ETS Research Report Series 2007, no. 1 (June 2007): i—32. http://dx.doi.org/10.1002/j.2333-8504.2007.tb02045.x.

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6

FELTZ, DEBORAH L. "Self-Confidence and Sports Performance." Exercise and Sport Sciences Reviews 16 (1988): 423???458. http://dx.doi.org/10.1249/00003677-198800160-00016.

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7

Stankov, Lazar, and Jihyun Lee. "Confidence and cognitive test performance." Journal of Educational Psychology 100, no. 4 (2008): 961–76. http://dx.doi.org/10.1037/a0012546.

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8

Seidman, William, and Michael McCauley. "Restoring executive confidence in performance improvement." Performance Improvement 51, no. 4 (April 2012): 14–20. http://dx.doi.org/10.1002/pfi.21257.

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9

Van Dongen, Hans P. A., Christopher G. Mott, Jen-Kuang Huang, Daniel J. Mollicone, Frederic D. McKenzie, and David F. Dinges. "Confidence Intervals for Individualized Performance Models." Sleep 30, no. 9 (September 2007): 1083. http://dx.doi.org/10.1093/sleep/30.9.1083.

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10

Murad, Zahra, and Chris Starmer. "Confidence snowballing and relative performance feedback." Journal of Economic Behavior & Organization 190 (October 2021): 550–72. http://dx.doi.org/10.1016/j.jebo.2021.08.006.

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11

Nesbit, Paul L., and Robert E. Wood. "Improving Confidence and Accuracy in Performance Appraisals." Journal of Management & Organization 8, no. 2 (2002): 40–51. http://dx.doi.org/10.1017/s1833367200005010.

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ABSTRACTThe paper presents findings of a study evaluating the impact of performance appraisal training on rating accuracy and perceived rating ability. 41 supervisors from a telecommunications firm took part in the training evaluated video vignettes and completed a questionnaire measuring self-efficacy beliefs about rating, goal intentions, and feelings about future rating behaviour. Supervisors in a control group (n = 12) also rated the video and completed the questionnaire. Trained supervisors showed increased accuracy on video ratings of work behaviour over the course of the training and an increase in self-efficacy measures. Control group supervisors by comparison decreased their accuracy of rating over the same time period while self-efficacy ratings remained constant. Impact of training on satisfaction and goals of participants is also presented.

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12

ORPEN, CHRISTOPHER. "CORRELATES OF PERCEIVED CONFIDENCE IN PERFORMANCE APPRAISALS." Psychological Reports 68, no. 4 (1991): 1336. http://dx.doi.org/10.2466/pr0.68.4.1336-1338.

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13

Nesbit, Paul L., and Robert E. Wood. "Improving Confidence and Accuracy in Performance Appraisals." Journal of the Australian and New Zealand Academy of Management 8, no. 2 (2002): 40–51. http://dx.doi.org/10.5172/jmo.2002.8.2.40.

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ABSTRACTThe paper presents findings of a study evaluating the impact of performance appraisal training on rating accuracy and perceived rating ability. 41 supervisors from a telecommunications firm took part in the training evaluated video vignettes and completed a questionnaire measuring self-efficacy beliefs about rating, goal intentions, and feelings about future rating behaviour. Supervisors in a control group (n = 12) also rated the video and completed the questionnaire. Trained supervisors showed increased accuracy on video ratings of work behaviour over the course of the training and an increase in self-efficacy measures. Control group supervisors by comparison decreased their accuracy of rating over the same time period while self-efficacy ratings remained constant. Impact of training on satisfaction and goals of participants is also presented.

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14

Reinhardt, Anita C., Iris L. Mullins, Conni De Blieck, and Pamela Schultz. "IV Insertion Simulation: Confidence, Skill, and Performance." Clinical Simulation in Nursing 8, no. 5 (May 2012): e157-e167. http://dx.doi.org/10.1016/j.ecns.2010.09.001.

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15

Orpen, Christopher. "Correlates of Perceived Confidence in Performance Appraisals." Psychological Reports 68, no. 3_suppl (June 1991): 1336–38. http://dx.doi.org/10.2466/pr0.1991.68.3c.1336.

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The relationships among a number of appraisal, firm, and personal attributes and general confidence appraisals were examined in a sample of 103 Australian middle-managers. Significant correlations were found between confidence and existence of appraisal schemes and between confidence and frequency of appraisals. The correlations between self-esteem of subjects and confidence and between internal control and confidence were both significant. The correlations with firm size, structure, reward system, and climate were all nonsignificant.

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16

Valerjev, Pavle, and Marin Dujmović. "Performance and Metacognition in Scientific Reasoning." Psihologijske teme 28, no. 1 (2019): 93–113. http://dx.doi.org/10.31820/pt.28.1.5.

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The aim of this study was to introduce a modified version of the covariation detection task to the meta-reasoning framework. This task has been used to assess scientific reasoning through the evaluation of fictitious experiment outcomes and hypothesis testing. The traditional covariation detection task was modified to include only the magnitude versus ratio-bias. The participants' task was to evaluate the effectiveness of an experimental manipulation in a series of fictitious experiments. Experiment 1 (N = 61) consisted of twenty covariation detection tasks. In half of the tasks, normative and heuristic responses were congruent, and for the other half they were incongruent. Experiment 2 (N = 48) had the same experimental design, however, the fictitious data was modified to increase the relative strength of the normative response. After each trial participants provided a judgment of confidence. Results confirmed that the main manipulation of congruence was successful. Participants were more accurate, faster and more confident in the congruent condition. The manipulation from Experiment 2 had a larger impact on response times than on confidence judgments and accuracy. Correct responses were faster in Experiment 2 when compared to Experiment 1, with higher confidence for correct congruent responses. Analyses by response type revealed large individual differences in the relative strength of the processes which generate normative and biased responses. Participants were faster and more confident when rationalizing in favour of their dominant response while they were slower and less confident when decoupling from that dominant response. The covariation detection task provides new valuable insight into meta-reasoning processes.

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17

Turek, Daniel. "Comparison of the Frequentist MATA Confidence Interval with Bayesian Model-Averaged Confidence Intervals." Journal of Probability and Statistics 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/420483.

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Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals. Frequentist intervals are constructed according to the model-averaged tail area (MATA) methodology. Differences between the Bayesian and frequentist methods are illustrated through an example involving cloud seeding. The coverage performance and interval width of each technique are then studied using simulation. A frequentist MATA interval performs best in the normal linear setting, while Bayesian credible intervals yield the best coverage performance in a lognormal setting. The use of a data-dependent prior probability for models improved the coverage of the model-averaged Bayesian interval, relative to that using uniform model prior probabilities. Data-dependent model prior probabilities are philosophically controversial in Bayesian statistics, and our results suggest that their use is beneficial when model averaging.

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18

DEWAN, TORUN, and DAVID P. MYATT. "Dynamic Government Performance: Honeymoons and Crises of Confidence." American Political Science Review 106, no. 1 (February 2012): 123–45. http://dx.doi.org/10.1017/s000305541100058x.

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We use a formal theoretical framework to explore the interplay between a government's longevity and its performance. Ministers perform well when their careers are valuable; this is so when the government's duration is expected to be long; the government's survival depends on its popularity; and, finally, that popularity depends on its ministers’ performance. The feedback loop between performance and longevity means that multiple rational-expectations equilibria can arise: Ministers work hard for a popular government, but divert efforts elsewhere if they believe the government is doomed; these alternatives are both self-fulfilling prophecies. However, the presence of (perhaps small) random events that buffet the performance and popularity of a government is sufficient to pin down a unique equilibrium. We explore the dynamics that arise: A crisis of confidence involving the rapid collapse of a government's performance is sparked when a sequence of negative shocks push the popularity of the government below a unique critical threshold.

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19

Martin, E. B., A. J. Morris, and M. C. Papazoglou. "Confidence Bounds for Multivariate Process Performance Monitoring Charts." IFAC Proceedings Volumes 28, no. 12 (June 1995): 23–32. http://dx.doi.org/10.1016/s1474-6670(17)45399-7.

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20

McKenzie, Dean P., Stephen Vida, Andrew J. Mackinnon, Patrick Onghena, and David M. Clarke. "Accurate confidence intervals for measures of test performance." Psychiatry Research 69, no. 2-3 (March 1997): 207–9. http://dx.doi.org/10.1016/s0165-1781(96)02952-6.

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21

Zalesny, Mary D. "Rater confidence and social influence in performance appraisals." Journal of Applied Psychology 75, no. 3 (1990): 274–89. http://dx.doi.org/10.1037/0021-9010.75.3.274.

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22

Brown, Jo, and Linda Esther Gray. "Helping students to gain confidence in personal performance." Medical Education 42, no. 5 (May 2008): 517–18. http://dx.doi.org/10.1111/j.1365-2923.2008.03053.x.

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23

Wunderlich, Adam, and Frédéric Noo. "Confidence intervals for performance assessment of linear observers." Medical Physics 38, S1 (July 20, 2011): S57—S68. http://dx.doi.org/10.1118/1.3577764.

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24

McClimens, Alex, Rachel Ibbotson, Charlotte Kenyon, Sionnadh McLean, and Hora Soltani. "Confidence and performance in objective structured clinical examination." British Journal of Midwifery 20, no. 10 (October 2012): 746–51. http://dx.doi.org/10.12968/bjom.2012.20.10.746.

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25

Lewis, K. E. "Sleep deprivation and junior doctors' performance and confidence." Postgraduate Medical Journal 78, no. 916 (February 1, 2002): 85–87. http://dx.doi.org/10.1136/pmj.78.916.85.

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26

Tarr, Garth. "Small sample performance of quantile regression confidence intervals." Journal of Statistical Computation and Simulation 82, no. 1 (January 2012): 81–94. http://dx.doi.org/10.1080/00949655.2010.527844.

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27

Liozu, Stephan M., and Andreas Hinterhuber. "The confidence factor in pricing: driving firm performance." Journal of Business Strategy 34, no. 4 (July 12, 2013): 11–21. http://dx.doi.org/10.1108/jbs-09-2012-0043.

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28

Gagnon-Dolbec, Alexis, Stuart J. McKelvie, and Joseph Eastwood. "Feedback, Sport-Confidence and Performance of Lacrosse Skills." Current Psychology 38, no. 6 (October 20, 2017): 1622–33. http://dx.doi.org/10.1007/s12144-017-9720-7.

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29

Sharp, Glen L., Brian L. Cutler, and Steven D. Penrod. "Performance feedback improves the resolution of confidence judgments." Organizational Behavior and Human Decision Processes 42, no. 3 (December 1988): 271–83. http://dx.doi.org/10.1016/0749-5978(88)90001-5.

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30

Ritter Spier, R., C. LaSalle, and C. B. Hollenbeck. "NFPA Simulation Increases Student's Performance and Confidence Scores." Journal of the Academy of Nutrition and Dietetics 118, no. 9 (September 2018): A43. http://dx.doi.org/10.1016/j.jand.2018.06.165.

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31

Solanki, Kamini, and Yudhvir Seetharam. "Is consumer confidence an indicator of JSE performance?" Contemporary Economics 8, no. 3 (September 25, 2014): 257–74. http://dx.doi.org/10.5709/ce.1897-9254.144.

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32

Petruzzello, Steven J., and Charles B. Corbin. "Tie Effects of Performance Feedback on Female Self-Confidence." Journal of Sport and Exercise Psychology 10, no. 2 (June 1988): 174–83. http://dx.doi.org/10.1123/jsep.10.2.174.

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Research has suggested that females lack self-confidence in their abilities to perform in certain physical activity situations. This "situational vulnerability," however, is not characteristic of all age levels. The present research was designed to determine if situational vulnerability was characteristic of college-age females and to determine if postperformance feedback would enhance self-confidence. Further, the research was designed to determine if feedback-enhanced self-confidence would generalize to a different task. In Study 1, males and females (N=381) rated the gender appropriateness of several motor tasks and made confidence ratings. In Study 2, high and low confidence college-age women (N=69) were tested to determine if feedback increased confidence on a gender-neutral task.. Subjects were then tested for confidence after performing a different task to determine if feedback-produced confidence differences were enduring. The results indicated that both tasks were rated as gender-neutral, but college-age females lacked confidence when compared to males. Feedback did improve confidence for low confidence females, but this feedback-enhanced self-confidence did not generalize to a different motor task. It is suggested that a fourth factor, namely lack of experience, be added to Lenney's (1977) situational vulnerability hypothesis as a factor likely to affect female self-confidence.

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33

Fransen, K., N. K. Steffens, S. A. Haslam, N. Vanbeselaere, G. Vande Broek, and F. Boen. "We will be champions: Leaders' confidence in ‘us’ inspires team members' team confidence and performance." Scandinavian Journal of Medicine & Science in Sports 26, no. 12 (December 21, 2015): 1455–69. http://dx.doi.org/10.1111/sms.12603.

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34

Chapman, Chris, Andrew M. Lane, John H. Brierley, and Peter C. Terry. "Anxiety, Self-Confidence and Performance in Tae Kwon-Do." Perceptual and Motor Skills 85, no. 3_suppl (December 1997): 1275–78. http://dx.doi.org/10.2466/pms.1997.85.3f.1275.

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142 male Tae Kwon-do competitors completed the Competitive State Anxiety Inventory–2 about 1 hr. before competition. Multivariate analysis of variance showed that the players who won reported lower cognitive and somatic anxiety and higher self-confidence than those who lost. Discriminant function analysis indicated that 89 (62.68%) participants could be correctly classified as winners or losers on the basis of their precompetition Competitive State Anxiety Inventory–2 scores. The findings concur with previous research in karate.

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35

Valdez, Connie A., David Thompson, Heather Ulrich, Hilda Bi, and Susan Paulsen. "A Comparison of Pharmacy Students' Confidence and Test Performance." American Journal of Pharmaceutical Education 70, no. 4 (September 2006): 76. http://dx.doi.org/10.5688/aj700476.

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36

TAKAHASHI, Akira. "Relationships between confidence ratings and performance in face recognition." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 2AM028. http://dx.doi.org/10.4992/pacjpa.74.0_2am028.

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37

Park, Hyang-mi, and Mi Young Chang. "Nurse’s Knowledge, Confidence and Performance on Care for Delirium." Journal of Health Informatics and Statistics 41, no. 4 (November 30, 2016): 359–68. http://dx.doi.org/10.21032/jhis.2016.41.4.359.

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38

Turner, Heather J., Prathiba Natesan, and Robin K. Henson. "Performance Evaluation of Confidence Intervals for Ordinal Coefficient Alpha." Journal of Modern Applied Statistical Methods 16, no. 2 (December 4, 2017): 157–85. http://dx.doi.org/10.22237/jmasm/1509494940.

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39

Meier, Kenneth J., and Laurence J. O’Toole, Jr. "Isopraxis Leadership: Leader Confidence, Managerial Strategy, and Organizational Performance." Chinese Public Administration Review 8, no. 1 (June 30, 2017): 47. http://dx.doi.org/10.22140/cpar.v8i1.144.

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Attention has been given to the notion that organizational leaders’ expressed confidence and optimism regarding their organizations’ performance can affect that performance by increasing the motivation and/or self-efficacy of subordinates. This idea, a part of various leadership theories, we call “isopraxis leadership.” This paper examines the logic of the claim, reviews and critiques extant evidence, develops a measure of leader confidence (the starting point for isopraxis leadership), undertakes initial validation of the measure, and then tests for the link between leader confidence and performance among several hundred public organizations. Leader confidence is found to be largely unrelated to performance; some evidence indicates that it can help only for those organizations that are already doing well or have more resources than average – that is, where it is least needed.

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40

Greenwald, Jessica Marie. ""The Relationships Between Core Confidence, Causal Attributions, and Performance"." Academy of Management Proceedings 2013, no. 1 (January 2013): 16308. http://dx.doi.org/10.5465/ambpp.2013.16308abstract.

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41

Yancey, George B., Edye Humphrey, and Kevin Neal. "How Perceived Incentive, Task Confidence, and Arousal Influence Performance." Perceptual and Motor Skills 74, no. 1 (February 1992): 279–85. http://dx.doi.org/10.2466/pms.1992.74.1.279.

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With expectancy theory of motivation, small relationships with performance are expected. The present study suggests that various components of expectancy theory, which are usually combined in a multiplicative or additive fashion, may have countervailing influences on performance. The opposing effects of the components could cancel each other out. A positive relationship between perceived incentive and arousal was hypothesized, while a negative relationship between task confidence and arousal was hypothesized. Arousal, in turn, is related to performance curvilinearly. 46 undergraduates were provided feedback on a practice test prior to taking a mathematics examination. After examining their incentive, confidence, and arousal, analysis supported both hypotheses.

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42

Stankov, Lazar, and John D. Crawford. "Self-confidence and performance on tests of cognitive abilities." Intelligence 25, no. 2 (January 1997): 93–109. http://dx.doi.org/10.1016/s0160-2896(97)90047-7.

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43

Bell, Priscilla, and David Volckmann. "Knowledge Surveys in General Chemistry: Confidence, Overconfidence, and Performance." Journal of Chemical Education 88, no. 11 (November 2011): 1469–76. http://dx.doi.org/10.1021/ed100328c.

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44

Mamassian, P., and S. Barthelme. "Internal uncertainty, rather than expected performance, determines visual confidence." Journal of Vision 11, no. 11 (September 23, 2011): 808. http://dx.doi.org/10.1167/11.11.808.

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45

Levy, A. R., A. R. Nicholls, and R. C. J. Polman. "Pre-competitive confidence, coping, and subjective performance in sport." Scandinavian Journal of Medicine & Science in Sports 21, no. 5 (March 10, 2010): 721–29. http://dx.doi.org/10.1111/j.1600-0838.2009.01075.x.

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46

Nguyen, Ann-Ngoc, Muhammad Sadiq Shahid, and David Kernohan. "Investor confidence and mutual fund performance in emerging markets." Journal of Economic Studies 45, no. 6 (November 12, 2018): 1288–310. http://dx.doi.org/10.1108/jes-07-2017-0175.

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Purpose The purpose of this paper is to investigate the impact of investor confidence on mutual fund performance in two relatively vulnerable but leading emerging markets, India and Pakistan. Design/methodology/approach A pooled ordinary least squared (OLS) model is used to look at two alternative measures of investor confidence and test for the relationship between investor confidence and mutual fund returns. To check the robustness of the findings, the authors also implement two-stage least squares and generalized method of moments techniques to control for unobserved heterogeneity, simultaneity and dynamic endogeneity problems in the regressors. Findings The paper finds that the returns of mutual funds are positively associated with investor confidence and an interaction effect exists between investor confidence and persistence in performance. The paper also confirms that returns from mutual funds are associated with different fund characteristics such as fund size, turnover, expense, liquidity, performance persistence and the fund’s age. These findings remain robust to alternative model specifications and measures of investor confidence. Originality/value While the previous literature mainly focuses on mutual fund characteristics and the macroeconomic determinants of mutual fund returns, this paper demonstrates that investor confidence plays an important role in determining mutual fund performance. The authors attribute this finding to two relatively unique features of the emerging markets in the study. A lack of awareness of mutual funds as being a low-cost investment vehicle and the interplay of cultural and behavioral changes have prevented investor’s savings from being channeled into investment products, away from gold or property.

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47

Yongwei Wu, Kai Hwang, Yulai Yuan, and Weiming Zheng. "Adaptive Workload Prediction of Grid Performance in Confidence Windows." IEEE Transactions on Parallel and Distributed Systems 21, no. 7 (July 2010): 925–38. http://dx.doi.org/10.1109/tpds.2009.137.

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48

Chevrier, Marie Isabelle, and Iris Hunger. "Confidence‐building measures for the BTWC: Performance and potential." Nonproliferation Review 7, no. 3 (September 2000): 24–42. http://dx.doi.org/10.1080/10736700008436823.

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49

Hays, Kate, Owen Thomas, Ian Maynard, and Mark Bawden. "The role of confidence in world-class sport performance." Journal of Sports Sciences 27, no. 11 (September 2009): 1185–99. http://dx.doi.org/10.1080/02640410903089798.

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50

Kaufman, David M., Toni A. Laidlaw, and Heather MacLeod. "Communication skills in medical school: Exposure, confidence and performance." Patient Education and Counseling 34 (May 1998): S61—S62. http://dx.doi.org/10.1016/s0738-3991(98)90143-4.

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