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"Purpose: The purpose of this study was to investigate the relationship(s) of the selected predictors of gender, ethnicity, age, and years of professional work experience on the general self-efficacy of senior administrative leaders in American community colleges. Method: This research study was conducted as a quasi-experimental, correlational study to investigate the potential relationships between the independent variables of gender, ethnicity, age, and years of professional work experience with the dependent variable of General Perceived Self-Efficacy scores for senior administrative leaders in American community colleges. The stratified random selection of 100 participants (50 males and 50 females) included a male and a female administrative leader from randomly identified community colleges in each of the 50 states of the United States. Job titles for selected participants included President, Vice President, Dean, Provost (or equivalent positions). Each participant was asked to complete a consent form and a web-based, electronic survey. The survey consisted of seven demographic questions related to gender, ethnicity, age, years of work experience (total for all industries and also total years in higher education), job title/position, and state location plus the 10-items from the General Perceived Self-Efficacy Scale developed by Schwarzer and Jerusalem (1995). The data and general self-efficacy (GSE) scores for 48 respondents (26 males and 22 females) were analyzed by t-test for independent samples, ANOVA, and multiple regression using the Statistical Package for the Social Sciences (SPSS). Major Findings: A response rate of 48% was achieved. An independent samples t test comparing the mean GSE score of males to the mean score of female participants found that the mean GSE score for males (33.92) was not significantly different than the mean for females (34.77). The mean GSE score for all 48 participants was 34.31. Based on ANOVA results and multiple regression analysis, none of the independent variables of gender, ethnicity, age, or years of professional work experience (All Experience or Higher Education Experience) produced statistically significant differences in the GSE scores of the participants. There were also no combinations of the independent variables that predicted the GSE scores collected in this study."
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