Using the Mixed Rasch Model to analyze data from the beliefs and attitudes about memory survey.
In this study, we used the Mixed Rasch Model (MRM) to analyze data from the Beliefs and Attitudes About Memory Survey (BAMS; Brown, Garry, Silver, and Loftus, 1997). We used the original 5-point BAMS data to investigate the functioning of the "Neutral" category via threshold analysis under a 2-class MRM solution. The "Neutral" category was identified as not eliciting the model expected responses and observations in the "Neutral" category were subsequently treated as missing data. For the BAMS data without the "Neutral" category, exploratory MRM analyses specifying up to 5 latent classes were conducted to evaluate data-model fit using the consistent Akaike information criterion (CAIC). For each of three BAMS subscales, a two latent class solution was identified as fitting the mixed Rasch rating scale model the best. Results regarding threshold analysis, person parameters, and item fit based on the final models are presented and discussed as well as the implications of this study.
Department of Educational Psychology, Chicago, IL 60607, USA. evsmith@uic.edu
Everett V
EV
Smith
Yuping
Y
Ying
Scott W
SW
Brown
D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D001290:Attitude; D003469:Culture; D003625:Data Collection / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D008432:Mathematical Computing; D061212:Memory, Episodic; D008875:Middle Aged; D015233:Models, Statistical; D011594:Psychometrics / Q000706:statistics & numerical data*; D012984:Software; D055815:Young Adult