The purpose of this meta-analytic review was to investigate the relation between motivation and reading achievement among students in kindergarten through 12th grade. A comprehensive search of peer-reviewed published research resulted in 132 articles with 185 independent samples and 1,154 reported effect sizes (Pearson’s r). Results of our random-effects metaregression model indicate a significant, moderate relation between motivation and reading, r = .22, p < .001. Moderation analyses revealed that the motivation construct being measured influenced the relation between motivation and reading. There were no other significant moderating or interaction effects related to reading domain, sample type, or grade level. Evidence to support the bidirectional nature of the relation between motivation and reading was provided through longitudinal analyses, with findings suggesting that earlier reading is a stronger predictor of later motivation than motivation is of reading. Taken together, the findings from this meta-analysis provide a better understanding of how motivational processes relate to reading performance, which has important implications for developing effective instructional practices and fostering students’ active engagement in reading. Theoretical and practical implications of these findings for reading development are discussed.
For students with persistent reading difficulties, research suggests one of the most effective ways to intensify interventions is to individualize instruction through use of performance data—a process known as data-based decision making (DBDM). This article reports a synthesis and meta-analysis of studies of reading interventions containing DBDM for struggling readers, as well as the characteristics and procedures that support the efficacy of these interventions. A systematic search of peer-reviewed literature published between 1975 and 2017 was conducted, resulting in 15 studies of reading interventions that incorporated DBDM for struggling readers in Grades K–12. A comparison of students who received reading interventions with DBDM with those in business-as-usual (BAU) comparison groups yielded a weighted mean effect of g = .24, 95% confidence interval (CI) = [.01 to .46]. A subset of six studies that compared students receiving similar reading interventions with and without DBDM yielded a weighted mean effect of g = .27, 95% CI = [.07, .47]. Implications for DBDM in reading interventions for struggling readers and areas for future research are described. In particular, experimental investigation is necessary to establish DBDM as an evidence-based practice for struggling readers.
Informed by theories of reading comprehension and prior reviews of reading comprehension intervention, this meta-analysis uniquely contributes to the literature because it describes the relative effects of various approaches to comprehension intervention for struggling readers in Grades 3 through 12. Findings from 64 studies demonstrate significant positive effects of reading comprehension intervention on comprehension outcomes ( g = .59, p < .001, 95% confidence interval [CI] [0.47, 0.74], τ2 = .31). A metaregression model indicated significantly higher effects associated with researcher-developed measures, background knowledge instruction, and strategy instruction, and significantly lower effects associated with instructional enhancements. Grade level, metacognitive approaches, and study quality did not moderate effects. Findings support the use of background knowledge instruction and strategy instruction to support comprehension of struggling readers in upper elementary and beyond.
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