Using a Logistic Regression Approach to Estimate the Influence of Demographical Factors on Small Engine and Welding Competency of Secondary Agricultural Education Teachers


  • Douglas D LaVergne Texas A&M University-Commerce
  • Rafael Bakhtavoryan Texas A&M University-Commerce
  • Robert L Williams Texas A&M University-Commerce


Agricultural Mechanical Competency, Small Gasoline Engines, Welding, Logistic Regression


A logistic regression model was used to examine the impact of demographical characteristics of secondary agricultural education teachers in [Region] [State] on their small gasoline engines and welding competency. Data were collected using a web-based questionnaire and employing a nonproportional stratified random sampling technique with 150 agricultural education teachers participating in the study. Findings showed that being male and having agricultural mechanical courses in both high school and college were positively associated with having competency in small gasoline engines and welding, while having only a Bachelor’s degree (as compared to a Master’s degree) was negatively associated with having competency in small gasoline engines. Additional research should be conducted to understand better why these differences exist. 

Author Biography

Douglas D LaVergne, Texas A&M University-Commerce

Assistant Professor of Agricultural Eduation


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How to Cite

LaVergne, D. D., Bakhtavoryan, R., & Williams, R. L. (2018). Using a Logistic Regression Approach to Estimate the Influence of Demographical Factors on Small Engine and Welding Competency of Secondary Agricultural Education Teachers. Texas Journal of Agriculture and Natural Resources, 31, 1–11. Retrieved from



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