Meta-Analysis of PISA Creative Thinking Assessment Data: A Guide for Creativity Researchers

IF 3 2区心理学 Q2 PSYCHOLOGY, EDUCATIONAL

Journal of Creative Behavior Pub Date : 2025-06-20 DOI:10.1002/jocb.70046

Sameh Said-Metwaly, Belén Fernández-Castilla, Wim Van den Noortgate

{"title":"Meta-Analysis of PISA Creative Thinking Assessment Data: A Guide for Creativity Researchers","authors":"Sameh Said-Metwaly, Belén Fernández-Castilla, Wim Van den Noortgate","doi":"10.1002/jocb.70046","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Interest in understanding creativity through Programme for International Student Assessment (PISA) data is on the rise, yet researchers face methodological challenges in synthesizing findings across various constructs, measures, and datasets. Meta-analysis—a valuable methodology for synthesizing quantitative data—remains underutilized in creativity research involving large-scale assessments like PISA. This paper provides guidelines for applying meta-analytic techniques to PISA creative thinking assessment data to help researchers address these challenges. It introduces meta-analysis by outlining its definition and advantages, followed by key steps and methodological considerations for synthesizing bivariate and multivariate relationships within PISA. Finally, the paper discusses techniques for managing the computational complexity of meta-analyzing PISA data. Ultimately, these guidelines aim to support researchers in effectively synthesizing PISA data to advance the study of creativity.</p>\n </div>","PeriodicalId":39915,"journal":{"name":"Journal of Creative Behavior","volume":"59 3","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Creative Behavior","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jocb.70046","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, EDUCATIONAL","Score":null,"Total":0}

引用次数: 0

Abstract

Interest in understanding creativity through Programme for International Student Assessment (PISA) data is on the rise, yet researchers face methodological challenges in synthesizing findings across various constructs, measures, and datasets. Meta-analysis—a valuable methodology for synthesizing quantitative data—remains underutilized in creativity research involving large-scale assessments like PISA. This paper provides guidelines for applying meta-analytic techniques to PISA creative thinking assessment data to help researchers address these challenges. It introduces meta-analysis by outlining its definition and advantages, followed by key steps and methodological considerations for synthesizing bivariate and multivariate relationships within PISA. Finally, the paper discusses techniques for managing the computational complexity of meta-analyzing PISA data. Ultimately, these guidelines aim to support researchers in effectively synthesizing PISA data to advance the study of creativity.

查看原文本刊更多论文

国际学生评估项目（PISA）创造性思维评估数据的元分析：对创造力研究者的指导

人们对通过国际学生评估项目（PISA）数据来理解创造力的兴趣正在上升，然而，研究人员在综合各种结构、测量和数据集的研究结果时面临着方法论上的挑战。元分析是一种综合定量数据的有价值的方法，但在涉及像PISA这样的大规模评估的创造力研究中仍未得到充分利用。本文提供了将元分析技术应用于PISA创造性思维评估数据的指导方针，以帮助研究人员应对这些挑战。它通过概述其定义和优势介绍了元分析，其次是关键步骤和方法上的考虑，在PISA中合成二元和多元关系。最后，本文讨论了管理元分析PISA数据的计算复杂性的技术。最终，这些指导方针旨在支持研究人员有效地综合PISA数据，以推进创造力的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Creative Behavior Arts and Humanities-Visual Arts and Performing Arts

CiteScore

7.50

自引率

7.70%

发文量

期刊介绍： The Journal of Creative Behavior is our quarterly academic journal citing the most current research in creative thinking. For nearly four decades JCB has been the benchmark scientific periodical in the field. It provides up to date cutting-edge ideas about creativity in education, psychology, business, arts and more.