Jonté A. Myers, Christopher Redding, Mary T. Brownell, Nicolas A. Gage, Walter L. Leite
{"title":"教师资格类型及其与数学困难风险青少年数学成绩的关系——一项潜在班级分析研究","authors":"Jonté A. Myers, Christopher Redding, Mary T. Brownell, Nicolas A. Gage, Walter L. Leite","doi":"10.1177/08884064211070572","DOIUrl":null,"url":null,"abstract":"This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics difficulties (MD), including students with disabilities and those without disabilities. We identified students at risk for MD as those performing at or below the 25th percentile on the state exam. We empirically identified eight qualitatively distinct and interpretable teacher qualification clusters. Based on value-added models, we found that teachers in Cluster 5 had lower average math learning gains than their peers in clusters with the most experienced and credentialed teachers. Cluster 5 included teachers who were novice and early-career, traditionally prepared math majors. We observed significant effects for the end or grade scores for the middle grades but not the algebra scores of high school students, suggesting teacher cluster membership effects varied by grade level. We discuss limitations and offer implications for research and policy.","PeriodicalId":51596,"journal":{"name":"Teacher Education and Special Education","volume":"45 1","pages":"286 - 308"},"PeriodicalIF":2.6000,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Teacher Qualification Typologies and Their Relationship With the Math Achievement of Adolescents At Risk for Math Difficulties: A Latent Class Analysis Study\",\"authors\":\"Jonté A. Myers, Christopher Redding, Mary T. Brownell, Nicolas A. Gage, Walter L. Leite\",\"doi\":\"10.1177/08884064211070572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics difficulties (MD), including students with disabilities and those without disabilities. We identified students at risk for MD as those performing at or below the 25th percentile on the state exam. We empirically identified eight qualitatively distinct and interpretable teacher qualification clusters. Based on value-added models, we found that teachers in Cluster 5 had lower average math learning gains than their peers in clusters with the most experienced and credentialed teachers. Cluster 5 included teachers who were novice and early-career, traditionally prepared math majors. We observed significant effects for the end or grade scores for the middle grades but not the algebra scores of high school students, suggesting teacher cluster membership effects varied by grade level. We discuss limitations and offer implications for research and policy.\",\"PeriodicalId\":51596,\"journal\":{\"name\":\"Teacher Education and Special Education\",\"volume\":\"45 1\",\"pages\":\"286 - 308\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2022-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Teacher Education and Special Education\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1177/08884064211070572\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teacher Education and Special Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1177/08884064211070572","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Teacher Qualification Typologies and Their Relationship With the Math Achievement of Adolescents At Risk for Math Difficulties: A Latent Class Analysis Study
This latent class analysis study used a bias-adjusted three-step approach to empirically identify mutually exclusive clusters of teacher professional qualifications based on commonly studied indicators of teacher quality. We then examined the relationship between cluster membership and the mathematics gains of adolescents at risk for mathematics difficulties (MD), including students with disabilities and those without disabilities. We identified students at risk for MD as those performing at or below the 25th percentile on the state exam. We empirically identified eight qualitatively distinct and interpretable teacher qualification clusters. Based on value-added models, we found that teachers in Cluster 5 had lower average math learning gains than their peers in clusters with the most experienced and credentialed teachers. Cluster 5 included teachers who were novice and early-career, traditionally prepared math majors. We observed significant effects for the end or grade scores for the middle grades but not the algebra scores of high school students, suggesting teacher cluster membership effects varied by grade level. We discuss limitations and offer implications for research and policy.