You will take part in several data analysis assignments in which you will develop a report using tables and figures from the IBM SPSS® output file of your results. Using the resources and readings provided, you will interpret these results and test the hypotheses and writeup these interpretations.
This assignment has two parts:
Complete the Additional Exercises on page 174 in Pallant’s SPSS Survival Manual (Chapter 13).
Health
Data file: sleep.sav. See Appendix for details of the data file.
1. Conduct a standard multiple regression to explore factors that have an impact on people’s level of daytime sleepiness. For your dependent variable, use the Sleepiness and Associated Sensations Scale total score (totSAS). For independent variables, use sex, age, physical fitness rating (fitrate), and scores on the HADS Depression Scale (depress). Assess how much of the variance in total sleepiness scores is explained by the set of variables (check your R square value). Which of the variables makes a uniquely significant contribution (check your beta values)?
2. Repeat the above analysis, but this time use a hierarchical multiple regression procedure, entering sex and age in the first block of variables and physical fitness and depression scores in the second block. After controlling for the demographic variables of sex and age, do the other two predictor variables make a significant contribution to explaining variance in sleepiness scores? How much additional variance in sleepiness is explained by physical fitness and depression after controlling for sex and age?
Complete the Additional Exercises on page 209 in Pallant’s SPSS Survival Manual.
Business
Data file: staffsurvey.sav. See Appendix for details of the data file.
1. Follow the instructions throughout the chapter to conduct a principal components analysis with Oblimin rotation on the 10 agreement items that make up the Staff Satisfaction Survey (Q1a to Q10a). You will see that, although two factors record eigenvalues over 1, the screeplot indicates that only one component should be retained. Run Parallel Analysis using 523 as the number of cases and 10 as the number of items. The results indicate only one component has an eigenvalue that exceeds the equivalent
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value obtained from a random data set. This suggests that the items of the Staff Satisfaction Scale are assessing only one underlying dimension (factor).
Health
Data file: sleep.sav. See Appendix for details of the data file.
1. Use the procedures shown in this chapter to explore the structure underlying the set of questions designed to assess the impact of sleep problems on various aspects of people’s lives. These items are labeled impact1 to impact7. Run Parallel Analysis (using 121 as the number of cases and 7 as the number of items) to check how many factors should be retained.
General Instructions
As doctoral students, your assignments are expected to follow the principles of high-quality scientific standards and promote knowledge and understanding in the field of criminal justice. You should apply a rigorous and critical assessment of a body of theory and empirical research, articulating what is known about the phenomenon and ways to advance research about the topic under review. Research syntheses should identify significant variables, a systematic and reproducible search strategy, and a clear framework for studies included in the larger analysis.
Manuscripts may be written in first person (“I”).
All manuscripts should be clearly and concisely written, with technical material set off. Please do not use jargon, slang, idioms, colloquialisms, or bureaucratese. Use acronyms sparingly and spell them out the first time you use them. Please do not construct acronyms from phrases you repeat frequently in the text.
Structure of Assignment Paper
For purposes of this assignment, there is no layout structure required as far as the setup of this paper, with one exception. I would appreciate it if you used separate headers for questions. Sub-headers are also allowed but not required. Questions should strive to be no less than 100 words each with no maximum limit. There is no overall page limit.
I expect all papers to be in the latest APA edition, properly cited, and tables attached in the correct format.
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.