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Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
Establishing Roots Before Branching Out: Parameter Recovery In Item Response Tree Models, Tyler Ryan
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Item Response Trees are a type of item response model that incorporates information about conditional responding to items using a rooted tree graph structure. Researchers have used item response trees for common measurement tasks and for testing novel hypotheses. Previous simulation studies investigating item response trees either lack generalizability to the broad domain of their use or lack thorough investigation and reporting of the results. I conducted a simulation study to explore how sample size, test length, item characteristics, and tree structure affect both item and person parameter recovery for 1PL and 2PL models. The results suggested that, as with …
The Effectiveness Of Warnings At Reducing The Prevalence Of Insufficient Effort Responding, Caitlin E. Blackmore
The Effectiveness Of Warnings At Reducing The Prevalence Of Insufficient Effort Responding, Caitlin E. Blackmore
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Unmotivated participants who fail to devote sufficient effort to their survey responses can influence the quality of self-report data. The majority of the published literature on this topic has concerned techniques for detecting insufficient effort responding (IER), whereas little attention has been given to developing effective procedures for preventing IER. There are numerous advantages to preventing IER, one of which is that discarding data is unnecessary. The current study examined the effects of a warning manipulation on the prevalence of IER and the quality of the resulting data. Statistically significant differences between conditions on four of the IER detection measures …