The purpose of this study was to investigate the relationship between TeacherInsight™ (TI) scores and student performance as measured by student academic change scores on the Texas Assessment of Knowledge and Skills (TAKS) test. School district administrators, particularly district personnel administrators, are continually faced with the task of screening and hiring potential teacher applicants who are expected to influence student achievement outcomes directly. Efforts to make the screening, selection, and hiring process more efficient and effective have led to the use of certain teacher prescreening selection instruments that provide a research-based assessment of teachers’ affective attributes, which purportedly predicts teacher effectiveness. This study addressed this concern using a teacher screening and selection tool, the TI, design by the Gallup Organization. According to the Gallup Organization, the TI is a predictor of teacher affective attributes or talents. The state of Texas uses a student evaluation process called the TAKS to measure student academic gains in certain subject areas. This study examined the relationship between the TI and teacher effectiveness as measured by student academic TAKS change scores in mathematics in fourth and fifth grade. I used data obtained from a single school district in north central Texas. The specific targeted population consisted of 874 students enrolled in mathematics and 44 fourth- and fifth-grade teachers hired over a 3-year period (20082011). I applied a quantitative causal-comparative research design. Descriptive statistics for all variables were presented and bivariate relationships between continuous variables were examined. A two-level linear regression model was used to predict student performance on state-mandated assessments using teachers’ TI scores while controlling for relevant covariates. The statistical significance level throughout the study was set at α = .05. A major finding of this study revealed that teachers’ TI scores were not significant predictors of student achievement in the final model (p = .351). Moreover, the final model did not have significant predictive power when compared to the null model. The findings suggest that other factors not recorded in this dataset may influence student academic performance. Only student gender was a significant predictor of TAKS scores. However, the effect size indicated that student gender accounted for less than 1% of the variance in student achievement (R2 = .003). The findings of this study indicate that the TI alone should not be used as the sole instrument in predicting the quality and potential influence a teacher candidate will have on student performance on state-mandated assessments, and the selected school district should consider re-evaluating its use of the screening instrument for selecting teachers. Recommendations based on the results of the study are discussed and areas for future research are provided.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc700102 |
| Date | 08 1900 |
| Creators | Stewart, Robert L. (Robert Lee), 1960- |
| Contributors | Byrd, Jimmy Kent, Whitson, Kathleen, Brooks, John, Otto, Douglas |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 127 pages, Text |
| Coverage | United States - Texas |
| Rights | Public, Stewart, Robert L., Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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