Date of Award

Spring 5-2016

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Educational Leadership and School Counseling

Committee Chair

Dr. David Lee

Committee Chair Department

Educational Leadership and School Counseling

Committee Member 2

Dr. Kyna Shelley

Committee Member 2 Department

Educational Studies and Research

Committee Member 3

Dr. Richard Mohn

Committee Member 3 Department

Educational Studies and Research

Committee Member 4

Dr. James Fox

Committee Member 4 Department

Educational Leadership and School Counseling

Committee Member 5

Dr. Stanley Benigno

Committee Member 5 Department

Educational Leadership and School Counseling

Abstract

The focus of this study was to measure teachers’ perception of the validity, reliability, feedback given from the Mississippi Statewide Teacher Appraisal Rubric (M-STAR) evaluation system, and their overall perception of the M-STAR evaluation system. This was a quantitative study that investigated whether or not a statistically significant difference existed between; teachers’ years of teaching experience, teachers’ teaching in a tested or non-tested subject, total number of M-STAR observation, and teachers’ amount of M-STAR training or professional development time; and teachers’ perception of the M-STAR’s validity, perception of M-STAR’s reliability, perception of the feedback given by M-STAR, and the teachers’ overall perception of the M-STAR teacher evaluation system. A 40 statement survey instrument was developed to obtain quantitative data related to teacher perceptions of the M-STAR teacher evaluation system. A five-point scale ranging from Strongly Agree to Strongly Disagree with an option of no opinion or not enough information to respond was used. To test the hypotheses of this study, a multivariate analysis of variance (MANOVA) was utilized to determine statistical significance. A better understanding of the perceptions held by teachers concerning the M-STAR teacher evaluation system in hopes that this better understanding will inform the use of the current system and the design of future systems.

ORCID ID

0000-0001-9786-7919

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