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Using School Climate Surveys to Categorize Schools and Examine Relationships with School Achievement. Christine DiStefano, Diane M. Monrad, R.J. May, Patricia McGuinness, & Tammiee Dickenson South Carolina Educational Policy Center University of South Carolina Columbia, SC. Rationale.
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Using School Climate Surveys to Categorize Schools and Examine Relationships with School Achievement Christine DiStefano, Diane M. Monrad, R.J. May, Patricia McGuinness, & Tammiee Dickenson South Carolina Educational Policy Center University of South Carolina Columbia, SC
Rationale • No Child Left Behind (NCLB) Act of 2001 • Achievement & Accountability Data • No information regarding school climate • South Carolina’s Report Card • Three types of variables: • Contextual (e.g., school size, poverty index) • Achievement (e.g., PACT, AYP) • Climate surveys • School climate data from teachers, parents, & students • Limited information from surveys included on report card
Research Questions • Can factors underlying school climate surveys administered to students and teachers across the state of South Carolina be identified? • Can the factor structures be used to create clusters of schools within the state that vary on the identified dimensions of school climate?
Participants • Elementary schools with 4th, 5th, or 6th grade as the exit grade • Schools: >500 used in analyses • Individual Level data • Teachers (n=19,121) • Parents (n=30,713) • Students (n=44,055) • Data aggregated to school level to provide comparisons at the school level
Methods • Exploratory Factor Analysis (EFA) • Conducted separately for teachers, parents, and students • Used multiple criteria used to evaluate EFA solutions • Created factor scores • Computed correlations between factor scores and report card variables • Cluster Analysis • Used factor scores from teacher and student surveys used to create the clusters • Validated externally using parent survey factor scores and SC report card data
Teacher Factors Home-School Relationship Leadership and Climate Instructional Focus Social-Physical Environment Safety Parent Factors Home-School Relationship Social-Physical Environment Learning Environment Teacher-Parent Relationship EFA Results Student Factors • Learning Environment • Expectations of Others • Social-Physical Environment • Safety
Cluster Analysis • 4 clusters identified based on teacher & student factor scores • Information from report card helped to distinguish between groups • Groups: • Cluster 1 = Better Than Average Climate (n=173) • Cluster 2 = Average Climate (n=198) • Cluster 3 = Below Average Climate (n=120) • Cluster 4 = Poor Climate (n=61)
Percentage of schools meeting 2005 Adequate Yearly Progress (AYP) by school clusters 1-4. Note: Student and Teacher Surveys Only
Cluster Analysis & Student Achievement Note: Student and Teacher Surveys Only
Findings • Moderate to strong relationships exist between achievement indicators and school climate • More AYP objectives were met by schools with the most favorable school climates • Students performed at higher levels in schools with more positive climates • Dimensions of climate • Parents and teachers identified Home-School Relationship as important • Students identified student behavior as key • Importance of perceived safety
Limitations • Need further research at the middle and high school levels • Need to analyze additional school years • Need to examine contribution of district support to school climate • Need to examine the role of poverty in school climate
Conclusions • Importance of climate • School climate can be modified • School climate can be a conduit to improving achievement • Use climate data to gain a greater understanding of schools • Help schools with lower climate ratings improve • Create schools with better safety, atmosphere, and working conditions