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This study conducted from Spring 2011 to 2013 at NJIT identifies key factors influencing undergraduate student satisfaction. The research focuses on the relevance of coursework to careers, quality of instruction, academic advisement, campus life, billing procedures, website usability, building conditions, and registrar services. Using SPSS regression models, academic and cultural variables predicting overall satisfaction were analyzed. Findings aim to enhance institutional planning and student support services for improved satisfaction.
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Undergraduate Student Satisfaction Survey Spring 2011 - 2013 Key Factors Institutional Research and Planning
Key factors* in Overall Satisfaction Spring 2013-Undergraduate Relevance of .226 coursework to career Overall Overall development quality of satisfaction .421 instruction with NJIT . 177 Quality of academic advisement .366 Billing and fee payment policies and procedures .196 Quality of campus life General condition of building and grounds .187 .141 The overall usefulness of NJIT's website *Regression model run using SPSS to show academic and cultural variables that predict overall satisfaction. 1/3/2020
Relevance of .242 coursework to career Overall Overall development quality of satisfaction .421 instruction with NJIT . 161 Quality of academic advisement .344 General condition of building and grounds .225 Quality of campus life The overall usefulness of NJIT’s website .193 .153 Billing & fee payment Policies & procedures Key factors* in Overall Satisfaction Spring 2012-Undergraduate *Regression model run using SPSS to show academic and cultural variables that predict overall satisfaction.
Relevance of .184 coursework to career Overall Overall development quality of satisfaction .436 instruction with NJIT . 117 Quality of academic advisement .377 Overall satisfaction With NJIT’s website .180 Quality of campus life General condition of building and grounds .171 .158 Overall satisfaction with registrar office Key factors* in Overall Satisfaction Spring 2011-Undergraduate *Regression model run using SPSS to show academic and cultural variables that predict overall satisfaction.