{"title":"国际大规模评估在教育荟萃分析中的潜力","authors":"Ronny Scherer, Fazilat Siddiq, Trude Nilsen","doi":"10.1186/s40536-024-00191-1","DOIUrl":null,"url":null,"abstract":"<p>Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evidence from both of these sources, meta-analysts seldom integrate ILSAs, and current integration practices lack methodological guidance. The aim of this methodological review is therefore to synthesize and illustrate the principles and practices of including ILSA data in meta-analyses. Specifically, we (a) review four ILSA data inclusion approaches (analytic steps, potential, challenges); (b) examine whether and how existing meta-analyses included ILSA data; and (c) provide a hands-on illustrative example of how to implement the four approaches. Seeing the need for meta-analyses on educational inequalities, we situated the review and illustration in the context of gender differences and socioeconomic gaps in student achievement. Ultimately, we outline the steps meta-analysts could take to utilize the potential and address the challenges of ILSA data for meta-analyses in education.</p>","PeriodicalId":37009,"journal":{"name":"Large-Scale Assessments in Education","volume":"13 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The potential of international large-scale assessments for meta-analyses in education\",\"authors\":\"Ronny Scherer, Fazilat Siddiq, Trude Nilsen\",\"doi\":\"10.1186/s40536-024-00191-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evidence from both of these sources, meta-analysts seldom integrate ILSAs, and current integration practices lack methodological guidance. The aim of this methodological review is therefore to synthesize and illustrate the principles and practices of including ILSA data in meta-analyses. Specifically, we (a) review four ILSA data inclusion approaches (analytic steps, potential, challenges); (b) examine whether and how existing meta-analyses included ILSA data; and (c) provide a hands-on illustrative example of how to implement the four approaches. Seeing the need for meta-analyses on educational inequalities, we situated the review and illustration in the context of gender differences and socioeconomic gaps in student achievement. Ultimately, we outline the steps meta-analysts could take to utilize the potential and address the challenges of ILSA data for meta-analyses in education.</p>\",\"PeriodicalId\":37009,\"journal\":{\"name\":\"Large-Scale Assessments in Education\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Large-Scale Assessments in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s40536-024-00191-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Large-Scale Assessments in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s40536-024-00191-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
The potential of international large-scale assessments for meta-analyses in education
Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evidence from both of these sources, meta-analysts seldom integrate ILSAs, and current integration practices lack methodological guidance. The aim of this methodological review is therefore to synthesize and illustrate the principles and practices of including ILSA data in meta-analyses. Specifically, we (a) review four ILSA data inclusion approaches (analytic steps, potential, challenges); (b) examine whether and how existing meta-analyses included ILSA data; and (c) provide a hands-on illustrative example of how to implement the four approaches. Seeing the need for meta-analyses on educational inequalities, we situated the review and illustration in the context of gender differences and socioeconomic gaps in student achievement. Ultimately, we outline the steps meta-analysts could take to utilize the potential and address the challenges of ILSA data for meta-analyses in education.