Abstract 
= Very satisfied with job). Data set: Ch 11 – Exercise 05A.sav Variable: YearsEd Definition: Number of years of education Type: Continuous Variable: AJSI Definition: Acme Job Satisfaction Index Type: Continuous (0 = Very unsatisfied with job . . . 60 = Very satisfied with job) a. Write the hypotheses. b. Run the criteria of 
An educational scientist wants to examine the correlation between years of education and job satisfaction. To address ts question, the scientist recruits a group of participants and has each complete a selfadministered survey; the first question asks how many years of education the participant has (e.g., 12 = gh school diploma, 14 = associate’s degree, 16 = bachelor’s degree, 18 = master’s degree). The remaining questions consist of the Acme Job Satisfaction Index (AJSI), wch produces a score between 0 and 60 (0 = Very unsatisfied with job . . . 60 = Very satisfied with job). Data set: Ch 11 – Exercise 05A.sav Variable: YearsEd Definition: Number of years of education Type: Continuous Variable: AJSI Definition: Acme Job Satisfaction Index Type: Continuous (0 = Very unsatisfied with job . . . 60 = Very satisfied with job) a. Write the hypotheses. b. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings. c. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution. d. Write an abstract under 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.
Sample references 
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