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Articles 1 - 4 of 4
Full-Text Articles in Quantitative Psychology
Examining The Effects Of Specifying Bayesian Priors On The Wald's Test For Dif, Paulius Satkus, Christine E. Demars
Examining The Effects Of Specifying Bayesian Priors On The Wald's Test For Dif, Paulius Satkus, Christine E. Demars
Department of Graduate Psychology - Faculty Scholarship
No abstract provided.
An Applied Example Of A Two-Tier Multiple-Group Testlet Model, Paulius Satkus, Christine E. Demars
An Applied Example Of A Two-Tier Multiple-Group Testlet Model, Paulius Satkus, Christine E. Demars
Department of Graduate Psychology - Faculty Scholarship
No abstract provided.
Test Emotions, Value, And Self-Efficacy: A Longitudinal Model Predicting Examinee Effort And Performance On A Low-Stakes Test, Paulius Satkus
Test Emotions, Value, And Self-Efficacy: A Longitudinal Model Predicting Examinee Effort And Performance On A Low-Stakes Test, Paulius Satkus
Masters Theses, 2010-2019
The validity of scores from low-stakes tests may be compromised by examinee motivation. Expectancy-Value theory (EV) has been used to frame the antecedents of examinee motivation in low-stakes testing contexts. According to EV theory, the perceived value of the test and the expectancy to succeed on the test directly affect examinee effort, which then affects test performance. Cross-sectional research studies in low-stakes testing contexts offer some support of EV theory. Control-Value theory (CV) serves as another theory to understand motivation toward a task. CV theory encompasses the constructs of expectancy and value from EV theory, but incorporates test emotions as …
Considerations In S-Χ2: Rest Score Or Summed Score, Priors, And Violations Of Normality, Christine E. Demars, Derek Sauder
Considerations In S-Χ2: Rest Score Or Summed Score, Priors, And Violations Of Normality, Christine E. Demars, Derek Sauder
Department of Graduate Psychology - Faculty Scholarship
The S-χ2 item fit index is one of the few item fit indices that appears to maintain accurate Type I error rates. This study explored grouping examinees by the rest score or summed score, prior distributions for the item parameters, and the shape of the ability distribution. Type I error was slightly closer to the nominal level for the total-score S-χ2 for the longest tests, but power was higher for the rest-score S-χ2 in every condition where power was < 1. Prior distributions reduced the proportion of estimates with extreme standard errors but slightly inflated the Type I error rates in some conditions. When the ability distribution was not normally distributed, integrating over an empirically-estimated distribution yielded Type I error rates closer to the nominal value than integrating over a normal distribution.