Abstract Behavioral researchers are concluding that conventional group-based analyses often mask meaningful individual differences and do not necessarily map onto the change processes within the lives of individual humans. Hayes et al. (2018) have called for a renewed focus on idiographic research, but with methods capable of nuanced multivariate insights and capable of scaling to nomothetic generalizations. To that end, we present a statistical technique we believe may be useful for the task: the dynamic p-technique.
Abstract The methods for examining questionnaires in psychology are steeped in conventional statistics. However, many within the social sciences have started exploring Bayesian methods as an alternative to the conventional approach. This paper highlights the usefulness of Bayesian methodology for factor analysis, using the Body Image Acceptance and Action Questionnaire (BI-AAQ) as a case study. In an all-Hispanic undergraduate sample (n = 289), we compared techniques from Bayesian and frequentist estimation for examining the factor structure of the BI-AAQ.
Abstract Malaysia is a Southeast Asian country in which multiple languages are prominently spoken, including English and Mandarin Chinese. As psychological science continues to develop within Malaysia, there is a need for psychometrically sound instruments that measure psychological phenomena in multiple languages. For example, assessment tools for measuring social desirability could be a useful addition in psychological assessments and research studies in a Malaysian context. This study examined the psychometric performance of the English and Mandarin Chinese versions of the Marlowe–Crowne Social Desirability Scale when used in Malaysia.