PSYC 355 SPSS Homework 2 INDEPENDENT SAMPLES T-TESTS | Complete Solution

SPSS Homework 2 Instructions

Independent Samples t-Tests

Part 1:

Green & Salkind: Lesson 24, Exercises 1–5

The following helpful tips are numbered to correspond with the exercise number to which they refer:

1. Type these values out underneath your copied and pasted output. (3 pts)
2. Instead of identifying these values on your output, as the text states, write them in your Word file as written answers for #2 a, b, and c. (3 pts, 1 point for each letter)
3. The effect size statistic must be computed by hand (or calculator). Use the second “easier” formula for d, found in the section on Effect Size Statistics in this lesson. (3 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). (3 pts)
5. Create a boxplot (not an error bar graph) using the following steps (covered also in Lesson 21). (3 pts)

1. Go to Graphs > Legacy Dialogs > Boxplot > Select “Simple” > Select “Summaries for Groups of Cases”
2. Click “Define” and Variable = “Time Spent” (this is your dependent variable) and Category Axis = “Weight” (this is your independent, or grouping, variable)
3. Click OK

Part 2:

1. A learning psychologist is interested in comparing the success of 2 different mnemonics (memorization methods) on performance in a memory task. He assigns students to two groups, one which learns and uses a language-based rhyming memory technique, and one which learns and uses a visual “method of loci” spatial memory technique. He then administers a memory task to each group of students. The students are scored based on the percentage of correct answers. Using the table below, enter the data into a new SPSS data file and use an independent-samples t test to analyze the claim that the two mnemonic styles are different.

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. (3 for output)

Table is shown on following page.

2. Create a boxplot illustrating the differences between the two methods of language learning. (3)

3. Write a current APA-style Results section based on your analyses. All homework “Results sections” must follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. (4)

Part 3: Cumulative Homework

1.   The effects of a new faith-based anxiety treatment program are studied in a group of elderly patients with Generalized Anxiety Disorder (GAD). One of the outcome measures is the Geriatric Anxiety Inventory (GAI) (Pachana et al., 2007), a measure with possible scores from 0–20, with higher scores indicating higher anxiety. A large group of elderly patients completed the GAI before treatment. Fifteen patients with GAI scores of 10 or higher were chosen to participate in the study. The patients underwent the treatment program and completed the GAI at the end of treatment. The scores are listed below. Do the elderly patients exhibit lessened anxiety, as demonstrated by their GAI scores, after participating in the faith-based treatment program? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.

1. Paste appropriate SPSS output. (5)
2. Paste appropriate SPSS graph. (5)
3. Write a current APA-style Results section based on your analyses. All homework “Results sections” should follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. (5)

This assignment is due by 11:59 p.m. (ET) on Monday of Module/Week 2.