ACADEMIC CV
For full academic CV, click the icon below:
Publications:
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]
Katz, B. A., Matanky, K., Aviram, G., & Yovel, I. (2020). Reinforcement sensitivity, depression and anxiety: A meta-analysis and meta-analytic structural equation model. Clinical Psychology Review, 101842. doi: 10.1016/j.cpr.2020.101842. [pdf] [data/syntax]
Katz, B.A., Breznitz, H., & Yovel, I. (2019). Gain through pain: Augmenting in vivo exposure with enhanced attention to internal experience leads to increased resilience to distress. Behaviour Research and Therapy, 113, 9-17. doi: 10.1016/j.brat.2018.12.001. [pdf]
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]
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]
Katz, B.A., Catane, S., & Yovel, I. (2016). Pushed by symptoms, pulled by values: Promotion goals increase motivation in therapeutic tasks. Behavior Therapy, 47, 239-247. doi: 10.1016/j.beth.2015.11.002. [pdf]
Miron-Shatz, T., Hanoch, Y., Katz, B.A., Doniger, G.M., & Ozanne, E.M. (2015). Willingness to Test for BRCA1/2 in high risk women: Influenced by risk perception and family experience, rather than by objective or subjective numeracy. doi: 2015-54495-008. Judgment and Decision Making, 10, 386-399. [pdf]
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.
Validated constructs:
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
[pdf]
Shame aversion
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.
Citation:
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
Programming & Software Skills
AMOS
HTML
Microsoft Excel
MPlus
Photoshop
Qualtrics
RStudio
SPSS
Analytic Techniques
Hierarchical Linear Modeling (HLM)
Meta Analysis
Network Analysis
Structural Equation Modeling (SEM)
Languages
English
Hebrew