07 Jun PSYC 355 Week 7 SPSS Homework 7 NEW
SPSS Homework 7 Instructions
Chi Square
Part 1:
Green & Salkind: Lesson 40, Exercises 1–4
The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):
1. Use the method reviewed in the presentation to weight the cases for this data set. (no points—done in data file)
2. Do a, b, and c. (2 pts for output and 2 pts each for a–c)
3. ———- (2 pts)
4. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Green & Salkind: Lesson 41, Exercises 1–3
The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):
NOTE: This exercise does not use the weighted cases method. Use the data file “as is.”
1. Do a, b, c, d, and e. For letter “e,” this question is asking specifically about effect size. (2 pts for output and 2 pts each for a–e)
2. ———- (2 pts)
3. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Part 2:
1. An industrial/organizational (I/O) psychologist is helping a company determine the type of work stations preferred by its employees. The business owner believes that people who work in different departments may prefer different work station layouts. In order to examine this claim, the I/O psychologist sets up 3 simulated work stations: private office (PO), semi-private office (SPO), and open floor plan (OFP). She recruits employees from 3 different departments: Information Technology, Human Resources, and Marketing. The participants spend 30 minutes in each simulated work station performing general pre-arranged tasks. At the end of the 1.5 hours, the participants turn in a form on which they mark which work station they prefer. The results are listed in the table on the following page. Perform a chi square test of independence (using an SPSS two-way contingency table analysis) to determine whether the proportions of work station preferences differ across departments. Use the weighted cases method.
The steps will be the same as the ones you have been practicing in Part 1 of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data. (2 pts)
| Private Office | Semi-Private Office | Open Floor Plan | TOTAL | |
| Information Technology | 9 | 6 | 4 | 19 |
| Human Resources | 6 | 10 | 3 | 19 |
| Marketing | 7 | 3 | 9 | 19 |
| TOTAL | 22 | 19 | 16 | 57 |
2. Create a clustered bar graph depicting your results. (2 pts)
3. Write an APA-style Results section describing the outcome. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Part 3: Cumulative Homework
1. A researcher wants to find out if the number of absences from a chemistry class are predictive of final exam scores at a local university. The data from the past term are in the table below. Are number of absences predictive of final exam scores? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions on the following page.
| Number of Absences | Final Exam Scores |
| 1
1 2 3 4 5 5 5 6 6 6 7 7 |
98
95 89 89 80 85 80 75 76 69 70 62 60 |
1. Paste appropriate SPSS output. (2 pts)
2. Paste appropriate SPSS graph. (2 pts)
3. Write an APA-style Results section describing the outcome. All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 7.
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