Gender, Age, Department, Position, Tenure, Job Satisfaction

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Paper For Above instruction

The goal of this assignment is to analyze the relationship between benefits and various job satisfaction measures, specifically intrinsic, extrinsic, and overall job satisfaction, through regression analysis. You are expected to interpret the regression outputs obtained from Excel, examine the graphs with trend lines, and discuss the key components of each regression. Additionally, you will compare the similarities and differences among the regression models, identify the strongest correlation coefficient, and interpret its managerial significance. The paper should include an introduction, analysis of each regression, a comparison of the models, and a conclusion.

Start with a brief introduction outlining the purpose of the analysis. Present the regression results visually and interpret each by copying and pasting the output from Excel, along with labeled graphs showing the trend lines for benefits against each satisfaction measure. Fill in the table with linked regression equations by identifying the dependent and independent variables, the slopes, Y-intercepts, and equations for each model.

Next, compare the regression models by identifying at least one similarity and one difference in their results. Establish which correlation coefficient is the strongest among the three and explain its managerial importance, emphasizing how it indicates the strength of the relationship and potential implications for decision-making.

Conclude with final remarks summarizing key insights from the analysis in 2-3 sentences, emphasizing the practical significance and potential applications for management strategies related to employee benefits and job satisfaction.

References

  • American Psychological Association [APA]. (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.
  • Johnson, R. A., & Wichern, D. W. (2007). Applied multivariate statistical analysis (6th ed.). Pearson.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Coe, R. (2002). It's the effect size, stupid: What effect size framing reveals about the difference between educational interventions. Educational Research and Evaluation, 8(4), 301–310.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
  • Myers, R. H. (1990). Classical and modern regression with applications. Duxbury Press.
  • Rosenberg, M. (1968). Expectancy-value theories of motivation: A consideration of the role of self-efficacy and self-esteem in motivation. Educational Psychology Review, 17(1), 6–27.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
  • Greene, W. H. (2012). Econometric analysis (7th ed.). Pearson.