VALIDATED MEASURES AND TOOLS
Questionnaire-Based Implicit Association Test
The Questionnaire-based Implicit Association Test (qIAT) applies the widely-used Implicit Association Test to questionnaire items. Instead of one-word associations (e.g., Love/Hate > Self/Other), it utilizes items from validated questionnaires (e.g., "I start conversations" > True/False). Dr Iftah Yovel's Personality Cognition and Psychopathology Lab at The Hebrew University of Jerusalem continues to validate the qIAT with a range of individual difference constructs and is developing a program for other researchers to integrate the qIAT in their own research as well.
Yovel, I., Aviram, G., Kahana, N. & Katz, B.A. (2021). Testing a new indirect measure of general self-worth: The Self-esteem Questionnaire-based Implicit Association Test. British Journal of Social Psychology. doi: 10.1111/bjso.12472 [pdf] [data/syntax/preregistration]
Extraversion and conscientiousness
Friedman, A., Katz, B.A., Halevy-Cohen, I., & Yovel, I. (2020). Expanding the scope of implicit personality assessment: An examination of the Questionnaire-Based Implicit Association Test (qIAT). Journal of Personality Assessment. doi: 10.1080/00223891.2020.1754230 [pdf] [data/syntax/preregistration]
Yovel, I., & Friedman, A. (2013). Bridging the gap between explicit and implicit measurement of personality: The questionnaire-based implicit association test. Personality and Individual Differences, 54(1), 76-80. doi: 10.1016/j.paid.2012.08.015
Currie, C. J., Katz, B.A., & Yovel, I. (2017). Explicit and implicit shame aversion predict symptoms of avoidant and borderline personality disorders. Journal of Research in Personality, 71, 13-16. doi: 10.1016/j.jrp.2017.08.006. [pdf] [data/syntax]
State Emotion Regulation Inventory (SERI)
While there are many high-quality measures for how people tend to regulate their emotions in general (i.e., trait emotion regulation), there are far fewer validated measures for how people regulate their emotions in the moment (i.e., state emotion regulation). The SERI is a brief, validated measure of state emotion regulation that measures state use of distraction, reappraisal, brooding and acceptance.
Reference article (measure in appendix):
Katz, B.A., Asis, Y., Lustig, N., & Yovel, I. (2017). Measuring regulation in the here and now: The development and validation of the State Emotion Regulation Inventory (SERI). Psychological Assessment, 29(10), 1235-1248. doi: 10.1037/pas0000420. [pdf]
Automated HLM Interaction Report Generator
Hierarchical LInear Modeling often requires lengthy, sophisticated programming, particularly when estimating interactions between Level 1 (i.e., individual) and Level 2 (i.e., group) variables. This publicly available R code automates such calculations.
Kluger, A. N., Pery, S., Markovitch, N., Zoizner, A., Abramson, L., Borut, L., & Katz, B. A. (2018). rMarkdown code to automate reporting HLM interactions between Level 1 and Level 2 based on code by Herman Aguinis [Computer Code]. Retrieved from https://mfr.osf.io/render?url=https://osf.io/4wgsq/?action=download%26mode=render