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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The relationship between the TeacherInsight™ interview scores and student performance as measured by the Texas Growth Index.

Koerner, Robert Jacob 08 1900 (has links)
In their efforts to make the selection and hiring process more efficient, school administrators utilize teacher selection instruments such as the Web-based TeacherInsight™ assessment tool (The Gallup Organization, Princeton, NJ). Tools such as these instruments are now used regularly by school systems across the nation to assess teachers regarding their knowledge, talents, skills, attitudes, and values. According to Gallup, the TeacherInsight is a predictor of teacher talent and is based on 12 themes. This study utilized 132 elementary and secondary teachers and approximately 4,500 students currently enrolled in Grades 3 through 11 to determine if the TeacherInsight is a predictor of student achievement. This study considered: (1) the relationship between the TeacherInsight and student achievement as measured by the Texas Growth Index (TGI); (2) the relationship between teacher characteristics (years of experience, level [primary or secondary], gender, age, degree) and the TeacherInsight instrument; (3) the relationship between teacher characteristics (years of experience, level [primary or secondary], gender, age, degree) and student achievement as measured by the TGI; and (4) the relationship between student classifications (limited English proficient, economically disadvantaged, at-risk) and student achievement as measured by the TGI. The analyses found a very weak positive relationship between the TeacherInsight and student achievement using the TGI in the subjects of English/ reading and math. Additional analysis based on levels (primary and secondary) between TeacherInsight scores and TGI values were not significant. Teacher characteristics were poor predictors of scores on the TeacherInsight. Of the characteristics, years of teaching experience was the strongest predictor of scores on the TeacherInsight. Although the overall analyses indicated significant relationships, they were very weak for both English/reading and math. Teacher characteristics were also poor predictors of student achievement. Again, the overall analysis indicated a significant but weak relationship for both English/reading and math. When considering the relationship between student classifications of LEP, economically disadvantaged, and at-risk, only at-risk had a weak relationship to student achievement. The findings provide little support to the validity of TeacherInsight in terms of its ability to predict student achievement scores and its usefulness as a tool for the selection of teachers by school systems. Until more extensive research is completed on the TeacherInsight and its impact on student achievement, no definitive answers for school systems can be made. Suggestions and recommendations for future studies are provided in the discussion section.
2

The Relationship Between TeacherInsight ™ Scores and Professional Development and Appraisal System Domain Scores

Novotny, Michael T. 05 1900 (has links)
Many school districts and alternative certification programs use standardized interviews such as the TeacherInsight developed by the Gallup Organization. The TeacherInsight is a Web-based interview consisting of multiple choice and Likert-style items that produces a score between 0 and 100. The Gallup Organization claims that it helps hire the best teachers. The study analyzed the relationships between the TeacherInsight scores and the eight Professional Development Appraisal System (PDAS) domain scores for 527 teachers. The TeacherInsight scores produced a statistically significant correlation with only one of the eight PDAS domain scores. However, even that correlation (r = 0.14) was weak. All eight PDAS domain scores were only able to account for an additional 1.9% of the variance of TeacherInsight scores, above and beyond what was explained by the teachers' age, gender, years of experience, and highest degree earned. Another finding was that 47.4% of the teachers hired had TeacherInsight scores below the district recommended cutoff score of 67. The findings do not support the ability of the TeacherInsight to identify more effective teachers, based on Professional Development Appraisal System scores. The findings also cast doubt on the extent of consideration that principals in this district give the TeacherInsight scores during the selection process. Recommendations for future studies are provided.

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