$FL2@(#) SPSS DATA FILE MS WINDOWS Release 9.0 #########################Y@10 Mar 9914:48:07 ###########################PARENT %###Parents of female high school student ########################MATH ###Math classes#################No advanced math ######?#Some advanced math ##########################?#Primarily father #######@#Father and mother ############################ ############################################## ########### ####################################ededededededededededededededededededededede eeeeeeeeeeeeeeeeefdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdf dfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdf dfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfdfefefefefefefefeefe PSYC 355 SPSS 7 INSTRUCTIONS - CHI SQUARE Part One: Green & Salkind: Lesson 40, Exercises 1-4 Open Lesson 40 Exercise File 1 found in Blackboard Course content (under Syllabus and Assignment InstructionsAssignment InstructionsSPSS Homework 7SPSS Homework 7 FilesMod7_Lesson 40 Exercise File 1). This data set pertains to Kristen's study on methods for cooking potato chips, as described in the end of chapter exercise in Green and Salkind Lesson 40. Read the scenario in the text, then follow the directions below as some questions have been altered. 1. Weight the file by number the number of cases. Use the method reviewed in the presentation to weight the cases for this data set. (no points-done in data file) 2. Conduct a one-sample chi square test to evaluate whether cooking method affects taste. Paste your SPSS output. 3. Answer the following questions: a. What is the observed frequency for the chips cooked in animal fat? b. What is the p value of the test? c. What is the chi square value? 1 What are the expected frequencies for the three categories of potato chips? 4. Write a current APA-style Results section based on your analysis. All homework \"Results sections\" should follow the examples given in the SPSS tutorial presentation and the Course Content document \"Writing Results of Statistical Tests in APA Format.\" Remember to include a decision about the null hypothesis (2) Green & Salkind: Lesson 41, Exercises 1-3 Open Lesson 41 Exercise File 1 found in Blackboard Course content (under Syllabus and Assignment InstructionsAssignment InstructionsSPSS Homework 7SPSS Homework 7 FilesMod7_Lesson 41 Exercise File 1). This data set pertains to Lilly's study on girls in different family types taking advanced math courses, as described in the end of chapter exercise in Green and Salkind Lesson 41. Read the scenario in the text, then follow the directions below as some questions have been altered. NOTE: This exercise does not use the weighted cases method. Use the data file \"as is.\" 1. Conduct a cross-tabs analysis/chi square test of independence and paste SPSS output. 2. Answer the following questions: a. What is the percent of female students who took some advanced math classes? b. What is the chi square value? c. What is the effect size, or the strength of the relationship, between taking advanced math and type of parental configuration? 1 Create a clustered bar graph to show differences in the number of female students taking advanced math classed for the different levels of parenting. Page 1 of 3 PSYC 355 3. Write a Results section in current APA format based on your results. All homework \"Results sections\" should follow the examples given in the SPSS tutorial presentation and the Course Content document \"Writing Results of Statistical Tests in APA Format.\" Remember to include a decision about the null hypothesis. Part Two: 1. Research scenario: A psychology student at a university is curious whether students in different majors have different class time preferences, or whether class time preference is independent of major. After doing some preliminary research, she chooses three different majors and recruits 10 volunteers from each major. She then asks them to choose their preferred class timeeither morning or afternoon. The results are listed below. Perform a chi square test of independence (using an SPSS two-way contingency table analysis) to determine whether the proportions of class time preferences are the same or different across the major fields of study. Use the weighted cases method. The steps will be the same as the ones you have been practicing in Part One of the assignmentthe 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. Morning Afternoon TOTAL Engineering 3 7 10 Psychology 6 4 10 Business 5 5 10 TOTAL 14 16 30 a) Paste SPSS output. b) Create a clustered bar graph depicting your results. c) 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 Three: Cumulative Homework 1. Research scenario: A community psychologist is interested in whether spending time in after-school programs is predictive of the number of arrests as a young adult in a high-risk neighborhood. After collecting records on 17 individuals over 8 years, the psychologist compiles the information listed in the table below on the following page. Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table on the following page. Page 2 of 3 PSYC 355 Hours Spent in AfNumber of Arrests ter-School ProAfter Age 17 grams 3 2 41 1 68 1 29 0 7 5 12 4 121 0 54 1 19 3 134 0 106 1 67 1 25 3 73 1 38 4 110 0 31 3 2. a) Paste appropriate SPSS output. b) Paste appropriate SPSS graph. c) 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\" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 7. Page 3 of 3