Organization, Information and Learning Sciences ETDs
Publication Date
Summer 7-10-2017
Abstract
The field of K-12 education has undergone an ever increasing strain to improve student and school performance in the last few decades. Many schools have failed to improve despite the attention they have been given.
The purpose of this study is to compare an elementary school’s current model of causality to the Synchronized Analysis Model (SAM) and Kaizen’s five why’s in determining low school performance. Using a qualitative instrumental case study design, surveys, interviews, and a focus group as the method of inquiry, nine employees were surveyed, four teachers and a principal were interviewed, and three leaders participated in a focus group. Questions for all inquiry methods centered around elements of the SAM and Kaizen’s five whys to determine causality.
The participants provided data that allowed the researcher to determine causality in a more granular level using the SAM rather than the current model being used by school and district leaders. Conclusions provide leadership with targeted interventions to address the cause of low school performance rather than generalized interventions that may or may not impact low school performance.
Degree Name
Organization, Information and Learning Sciences
Level of Degree
Doctoral
Department Name
Organization, Information & Learning Sciences
First Committee Member (Chair)
Patricia Boverie
Second Committee Member
Robert Grassberger
Third Committee Member
Scott Hughes
Fourth Committee Member
Elizabeth von Toll
Language
English
Keywords
Performance Improvement, Root Cause Analysis, Education
Document Type
Dissertation
Recommended Citation
Williams, Matthew L.. "Causality: A Comparative Study of a Current Causality Model to that of Synchronized Analysis Model (SAM) in a Rural Elementary School." (2017). https://digitalrepository.unm.edu/oils_etds/44
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Leadership Commons, Organization Development Commons