Linking with the Bayesian Item Response Theory Model

Research Problem IRT models specified as linear mixed models are not new (e.g., Adams, Wilson, & Wu, 1997; Kamata, 2001; Mellenbergh, 1994; Rijmen et al., 2003). Some have discussed evaluating DIF in these frameworks too (e.g., Noorgate and De Boeck, 2005). To our knowledge, these methods have not been explored to which the extent they properly link scores. Heterotypic Continuity We approach this research primarily from a psychological measurement lens, where heterotypic continuity is often of concern.

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Tidy Meta-Analytic Data

Rationale Data entry is an important component for quantitative studies Often neglected in courses Messy data can make data manipulation much more difficult Substantial time could be lost due to poor data entry procedures Strong data entry procedures are particularly important in evidence synthesis Rationale 2 Data Organization in Spreadsheets - Broman and Woo (2018), The American Statistician, Tidy Data - Wickham (2014), Journal of Statistical Software, https://www.

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Evolution of Statistical Software and Quantitative Methods

Rationale Extension of work done by Robert Muenchen ( Focus is on statistical software Addition of quantitative methods Particularly interested in the interaction. Questions of Interest: Exploring which software is popular in published research. How many empirical analyses cite software? Any patterns in software use with quantitative methods? Methods Research synthesis methods were used Web of Knowledge was used to pull in citations for 12 social science journals 1995 to 2018 EndNote’s “Find Text” feature was used to pull in PDFs of all articles from the journals pdfsearch R package was used to perform keyword searching.

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