Investigating the Unique Predictors of Word-Problem Solving Using Meta-Analytic Structural Equation Modeling

2021
The purpose of the present study is to clarify the contributions of cognitive skills (nonverbal reasoning, language comprehension, working memory, attention, processing speed) and academic skills (mathematics facts retrieval, mathematics computation, mathematics vocabulary, reading comprehension) in performing mathematics word problems among elementary school students. With the two-stage meta-analytic structural equation modeling approach, I synthesized 112 correlation matrices from 98 empirical studies (N = 111,346) and fitted the hypothesized partial mediation model. Overall, path analysis indicated that language comprehension, working memory, attention, mathematics vocabulary, and mathematics computation were unique predictors of word-problem solving. Subgroup analysis demonstrated different unique predictors for younger and older students to perform word problems (K-2nd grades versus 3rd-5th grades). Implications, limitations, and future directions are discussed.
EDUCATIONAL PSYCHOLOGY REVIEW
页码:1097-1124|卷号:33|期号:3
ISSN:1040-726X
收录类型
SSCI
发表日期
2021
学科领域
循证社会学
国家
美国
语种
英语
DOI
10.1007/s10648-020-09554-w
其他关键词
WORKING-MEMORY COMPONENTS; SHORT-TERM-MEMORY; EXECUTIVE FUNCTION; SELF-REGULATION; MATHEMATICS ACHIEVEMENT; INDIVIDUAL-DIFFERENCES; LEARNING-DISABILITIES; TEXT COMPREHENSION; FLUID INTELLIGENCE; 3RD-GRADE STUDENTS
EISSN
1573-336X
被引频次(WOS)
2
被引更新日期
2022-01
来源机构
University of Texas System University of Texas Austin
关键词
Academic skills Cognitive skills Meta-analytic structural equation modeling Word-problem solving