Global ETD Search

91	Using Item Response Theory to Develop a Shorter Version of the Transition Readiness Assessment Questionnaire (TRAQ) Johnson, Kiana, McBee, R., Wood, David L. 01 January 2016 (has links) No description available. Item Response Theory Pediatrics Pediatrics
92	The Effects Of Differential Item Functioning On Predictive Bias Bryant, Damon 01 January 2004 (has links) The purpose of this research was to investigate the relation between measurement bias at the item level (differential item functioning, dif) and predictive bias at the test score level. Dif was defined as a difference in the probability of getting a test item correct for examinees with the same ability but from different subgroups. Predictive bias was defined as a difference in subgroup regression intercepts and/or slopes in predicting a criterion. Data were simulated by computer. Two hypothetical subgroups (a reference group and a focal group) were used. The predictor was a composite score on a dimensionally complex test with 60 items. Sample size (35, 70, and 105 per group), validity coefficient (.3 or .5), and the mean difference on the predictor (0, .33, .66, and 1 standard deviation, sd) and the criterion (0 and .35 sd) were manipulated. The percentage of items showing dif (0%, 15%, and 30%) and the effect size of dif (small = .3, medium = .6, and large = .9) were also manipulated. Each of the 432 conditions in the 3 x 2 x 4 x 2 x 3 x 3 design was replicated 500 times. For each replication, a predictive bias analysis was conducted, and the detection of predictive bias against each subgroup was the dependent variable. The percentage of dif and the effect size of dif were hypothesized to influence the detection of predictive bias; hypotheses were also advanced about the influence of sample size and mean subgroup differences on the predictor and criterion. Results indicated that dif was not related to the probability of detecting predictive bias against any subgroup. Results were inconsistent with the notion that measurement bias and predictive bias are mutually supportive, i.e., the presence (or absence) of one type of bias is evidence in support of the presence (or absence) of the other type of bias. Sample size and mean differences on the predictor/criterion had direct and indirect effects on the probability of detecting predictive bias against both reference and focal groups. Implications for future research are discussed. item response theory predictive bias differential item functioning fairness Psychology
93	An IRT Investigation of Common LMX Measures Howald, Nicholas 29 November 2017 (has links) No description available. Psychology leadership psychometrics
94	Type I Error Rates and Power Estimates for Several Item Response Theory Fit Indices Schlessman, Bradley R. 29 December 2009 (has links) No description available. Statistics Item Response Theory IRT Fit Chi-Squared
95	DO APPLICANTS AND INCUMBENTS RESPOND TO PERSONALITY ITEMS SIMILARLY? A COMPARISON USING AN IDEAL POINT RESPONSE MODEL O'Brien, Erin L. 09 July 2010 (has links) No description available. Psychology item response theory ideal point models dominance response models
96	A Bifactor Model of Burnout? An Item Response Theory Analysis of the Maslach Burnout Inventory – Human Services Survey. Periard, David Andrew 05 August 2016 (has links) No description available. Psychology Statistics burnout multidimensional item response theory bifactor models
97	Detecting Insufficient Effort Responding: An Item Response Theory Approach Barnes, Tyler Douglas January 2016 (has links) No description available. Psychology Insufficient Effort Responding Item Response Theory Person Fit
98	Case and covariate influence: implications for model assessment Duncan, Kristin A. 12 October 2004 (has links) No description available. Statistics Bayesian models model assessment cross-validation item response theory
99	A semi-parametric approach to estimating item response functions Liang, Longjuan 22 June 2007 (has links) No description available. Item response theory semi-parametric approach logistic function monotonic polynomial
100	The Effect of Item Parameter Uncertainty on Test Reliability Bodine, Andrew James 24 August 2012 (has links) No description available. Psychology Statistics item response theory IRT reliability MCMC multiple imputation

Search results