PSYC 355 SPSS HOMEWORK 2 INSTRUCTIONS - INDEPENDENT SAMPLES TESTS (40 POINTS) T Part One: Green & Salkind: Lesson 24, First Exercise Open Lesson 24 Exercise File 1 found in Blackboard Course content (under Syllabus and Assignment InstructionsAssignment InstructionsSPSS Homework 2SPSS Homework 2 FilesMod2_Lesson 24 Exercise File 1). This data set pertains to the eating speed of different people at a McDonald's restaurant as described in the scenario for the first end-of-chapter exercise in Green and Salkind, Lesson 24. Read the research scenario in the text, then follow the directions below as some questions have been altered. 1. Paste SPSS output. 2. What are the values of t and p for \"Equal Variances Assumed\"? T(38)=3.98, p<.05 assuming equal variances t(30.38)=-5.40, p<.05 not assuming 3. Answer the following questions: a. What is the mean eating time for normal weight individuals? 83.949 b. What is the standard deviation for overweight individuals? 589.00 c. What is the result of Levene's test for homogeneity of variance (F and p values)? F(1.38)=2.74, p=.11 4. Write an 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.\" Remember to include a decision about the null hypothesis. The independent sample test which evaluated normal weight and over-weight individuals using the independent sampe t-test was used to determine individuals eat faster than normal weight individuals. This test did show significant results, t(38)=3.98, p=.11. The individuals that were overweight (m=589, SD=42.62), on an average the individuals that are overweight did not eat faster than normal weight individuals (m=698, SD=82.95). These results reflect a null hypothesis. 5. Create a boxplot (not an error bar graph) to demonstrate the difference between the groups, using the following steps (covered also in Lesson 21) a. Go to GraphsLegacy DialogsBoxplotSelect \"Simple\"Select \"Summaries for Groups of Cases\" b. Click \"Define\": Variable = \"Time Spent\" (this is your dependent variable) and Category Axis = \"Weight\" (this is your independent, or grouping, variable) c. OK Part Two: 1. Research Scenario: An industrial/organizational psychologist is interested in studying the effect of the type of bonus system on employee morale at a tech company. He divides employees into two groups. One group works within a standard bonus system, with larger Page 1 of 4 PSYC 355 one-time bonuses granted by upper management during each quarter. The other group works within a system where upper management award smaller bonuses to workers throughout the pay period. At the end of the pay period, the amount of bonuses in each group is the same, with the only difference being when they were awarded. The I/O psychologist then assesses employee morale using a 10-item scale with values ranging from 1 (very low morale) to 50 (very high morale). 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 bonus payment methods result in different levels of employee morale. The steps of the test will be the same as the ones you have been practicing in Part One 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 and analyze the data. The table is shown on the following page. Group One-time large bonus Multiple small bonuses Employee Morale Score 39 32 40 23 42 18 27 15 23 41 30 37 27 12 20 47 1. Paste SPSS output. 2. Create a boxplot illustrating the differences in morale between the two bonus award methods. Page 2 of 4 PSYC 355 3. Write an 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.\" Remember to include a decision about the null hypothesis. Part 3: Cumulative Homework: Choose the correct method from tests learned in previous modules. 1. Research Scenario: 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. GAI Score Before Treatment 15 10 14 14 12 15 16 12 9 16 17 13 12 15 16 GAI Score After Treatment 7 11 12 13 9 9 12 10 11 13 16 8 12 9 14 1. Paste appropriate SPSS output. Page 3 of 4 PSYC 355 2. N Mean One-Sample Statistics Std. Deviation Std. Error Mean GAI Scores One-Sample Test Test Value = 0 t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference Lower Upper GAI Scores 3. Paste appropriate SPSS graph. 4. Write an APA-style Results section based on your analyses. All homework \"Results sections\" should follow the example given in the SPSS tutorials. Remember to include a decision about the null hypothesis. Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 2. Page 4 of 4