Psychometric examination of Runco Ideational Behavior Scale: Thai adaptation

Puthyrom Tep,Sorakrich Maneewan,Saranya Chuathong

doi:10.1186/s41155-020-00170-9

Abstract

Creativity is a multidimensional construct. Several different approaches have been developed to measure creativity, including psychometric scales. The Runco Ideational Behavior Scale (RIBS) is one such measure of creative ideation. The primary purpose of this paper was to assess the 23 items of the RIBS in the context of the Thai language and examine scale reliability and validity. Participants, consisting of 508 undergraduate students selected from five Thai public universities, were selected through a convenience sampling approach involving both exploratory and confirmatory factor analysis. Results suggested that the Thai version of the RIBS presented a valid measure to a certain extent. Factor analysis of the empirical data indicated a two-dimensional structure. Confirmatory factor analysis (CFA) results confirmed that the two-factor construct demonstrated a better fit with improved psychometric characteristics. Six items were eliminated from the Thai RIBS version inventory: five items during explanatory factor analysis (EFA) and one during the CFA process. Results will contribute to ascertaining that the Thai version of the RIBS instrument can be used as a self-assessment tool for measuring students’ creative ideation. Implications and limitations of this research are discussed with suggestions for future studies.

Highlights

One of the four competencies needed in the twenty-first century is creative thinking (P21 2019)
Exploratory factor analysis (EFA) Results from the parallel analysis and scree plot suggested that the two-factor solution was ideal, due to cutoff point and cross-loading
A one-dimensional structure was suggested by Runco et al (2001), and a single-factor solution was called into question by Tsai (2015) and Confirmatory factor analysis (CFA) model-fit: χ2 (110) = 310.8, comparative fit index (CFI) = .95, root mean square error of approximation (RMSEA) = 0.04, Standardized root mean square residual (SRMR) = 0.06; CR composite reliability, AVE average variance extracted

Summary

Introduction

One of the four competencies needed in the twenty-first century is creative thinking (P21 2019). Creative thinking is considered a high priority in both academic as well as policy-maker agendas (Ritter and Mostert 2017) and attracts interest in conducting research from many different perspectives (Tep et al 2018). This claim was first introduced by Guilford (1956) in his model of the structure of intellect. Supporting this notion, Plucker et al (2004) conducted a content analysis of 90 articles from high impact factor journals to define the term creativity.

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