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SPSSWorksheetNonparametricTestsAssignmentInstructions.docx
SPSSWorksheetNonparameterTestsTemplate.docx
SPSSWorksheetNonparametricTestsAssignmentInstructions.docx
PSYC 515
SPSS Worksheet: Nonparametric Tests Assignment Instructions
Overview
This assignment assesses your ability to evaluate, analyze, and interpret research designs common to the field of psychology. The specific focus in this assignment is on designs involving dependent groups. The goal is to equip you with the tools needed to be a competent and productive consumer and producer of research in the field of psychology.
Instructions
Download the SPSS Worksheet: Nonparametric Tests Template as a word document. Do not delete or modify the template, except to insert your answers where indicated. Use graduate-level writing skills and format using current APA conventions. Upload the completed file as a word document or PDF by its due date.
Please refer to grading rubric for point values.
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.
SPSSWorksheetNonparameterTestsTemplate.docx
PSYC 515
SPSS Worksheet: Nonparametric Tests Template
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Digital |
analog |
undecided |
totals |
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younger than 30
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80 |
35 |
10 |
125 |
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30 or older
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30 |
40 |
5 |
75 |
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column totals
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110 |
75 |
15 |
200 |
Research Scenario #1 (Q1-7: 30 pts content / 11 pts format): A manufacturer of a new smart watch wants to examine preferences for digital versus analog faces for marketing purposes. A sample of n = 200 people is selected, and these individuals are classified by age and preference. The manufacturer would like to know whether there is a relationship between age and face preference. The observed frequencies are provided in the table.
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1. What is one of the variables in this scenario? How many levels does it have? What are they? Is it BS or WS? What is its scale of measurement? 4 pts
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<Answer here> |
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2. What is the other variable in this scenario? How many levels does it have? What are they? Is it BS or WS? What is its scale of measurement? 4 pts
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<Answer here> |
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3. How many rows and columns are used in this specific example to determine which effect size is most appropriate (provide the numerical notation – e.g., 2x2, 2x3. 3x3)? Based on this information, which effect size is most appropriate? 4 pts |
<Answer here> |
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4. Using SPSS, compute all the appropriate statistics to test your hypothesis. Make sure to include any tests for assumptions and that your output includes the effect size (partial eta squared). Copy / paste all relevant SPSS output in the space below (do NOT include output not identified above). Make sure it is all legible (e.g., paste as images so you can resize them so they are all within the template and visible). 5 pts content / 3 pts format |
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<paste SPSS output here>
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5. Given the results of your analyses, create the most appropriate figure for this dataset. Number it as Figure 1. Create an appropriate title and Note, and make sure it is formatted using APA conventions (remember it must have axis titles and labels for factor levels!). 3 pts content / 4 pts format
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<answer here>
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6. Write the results using professional conventions, modeling the Sample Results sections shown in your lecture videos for this week. Make sure to include a properly formatted callout to your figure and include all required components (e.g., statistical notation with exact p value and effect size, post hoc p values when appropriate). **remember we use the terms “statistically significant” or “non-significant”. 5 pts content / 4 pts format
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<answer here>
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7. Design a conceptual replication of this study so that it uses a different nonparametric test example (i.e. must use one of the following: Chi-square goodness of fit, McNemar’s test, Cochran’s Q test, or Spearman’s rho) with at least one of the nominal variables from this scenario. Succinctly describe the study so that the most appropriate nonparametric test is clearly identifiable. Make sure you state the levels for all measured variables. Identify the best statistical test to analyze your proposed study. Hint: Examples are provided in Practice 14.3 in Adams & McGuire (Research Methods, Statistics, and Applications). 5 pts content |
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<Answer here>
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subject |
social status |
learning score |
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a |
2 |
30 |
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b |
3 |
40 |
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c |
7 |
75 |
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d |
9 |
81 |
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e |
11 |
89 |
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f |
8 |
27 |
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g |
12 |
77 |
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h |
5 |
42 |
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i |
10 |
70 |
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j |
4 |
39 |
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k |
6 |
82 |
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l |
1 |
50 |
Research Scenario #2 (Q8-12: 20 pts content / 11 pts format): Previous research using birds suggests there is a relationship between cognitive ability and social status (Boogert et al., 2006). To see if this relationship exists in 8-year-old children, they were ranked in terms of cognitive ability and social status by an independent observer. Values are provided in the table. Make sure you consider all values for both variables as “ranks” for this scenario.
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6 What is the research hypothesis in this scenario? 3 pts
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<Answer here> |
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7 What is a potential confounding variable in this scenario? Describe why you think it may confound the study. 4 pts |
<Answer here> |
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8 Using SPSS, compute the appropriate statistic to test your hypothesis. Copy / paste all relevant SPSS output in the space below (do NOT include output not identified above). Make sure it is all legible (e.g., paste as images so you can resize them so they are all within the template and visible). 5 pts content / 3 pts format |
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<Answer here>
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9 Given the results of your analyses, create the most appropriate figure for this dataset. Number it as Figure 2. Create an appropriate title and Note, and make sure it is formatted using APA conventions (remember it must have axis titles!). 3 pts content / 4 pts format
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<answer here>
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10 Write the results using professional conventions, modeling the Sample Results sections shown in your lecture videos for this week. Make sure to include a properly formatted callout to your figure and include all required components (e.g., statistical notation with exact p value, include sample size). **remember we use the terms “statistically significant” or “non-significant”. 5 pts content / 4 pts format
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<answer here>
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