INSTRUCTIONS FOR ASSIGNMENT<\/p>\n
FOR SPSS:
\nGo to: Analyze>Compare Means>One-Way ANOVA
\nTo include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), click on “Turkey,” click “continue,” then OK
\nFor PSPP
\nRead the PSPP Chapter 6 for step by step help (Mac Only).
\nFor windows PSPP 1.53
\nGo to: Analyze>Compare Means>One-Way ANOVA
\nTo include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), click on “Turkey,” click “continue,” then OK
\nTest whether there is an association between a person’s educational attainment and how much television they watch. Use the GSS2008 data set to perform an ANOVA on respondents’ highest educational degree (DEGREE) and the hours per day they watch television (TVHOURS)
\nFOR PSPP ON MAC ONLY: Now perform the analysis with PSPP [USE THE SYNTAX BELOW TO DO THE ENTIRE ANALYSIS] and find:
\nWE WILL USE THIS TO DO THE FOLLOWING QUESTIONS: One-way ANOVA
\nFile
\nNew
\nSyntax
\nThe syntax editor will open, then type [do not type in BRACKETS]
\nOneway [enter]
\n\/Variables = var1 BY var2 [enter]
\n\/Statistics = descriptives [enter]
\n\/Posthoc = tukey [go to tool ribbon “File Edit Run Windows Help” and click on RUN and then ALL. Check you output and you should have a nice TABLE. Var1 and var2 are the variables being used for the tables. Just type in the variable name as written in the assignment.
\nDo not type Var1 and Var2 as they do not stand for anything-and you will get an error message.
\nHint on the above Tvhours (dependent variable) BY degree (factor)
\nNOTE CONCERNING SPSS\/PSPP DISCUSSION AND ASSIGNMENT EXERCISES: For anyone wondering, I have borrowed most of the exercises from various textbooks that I have used to teach this course and similar courses over the years with some modification when and if necessary AND these questions often challenge the perceptions of students. Part of learning to analyze and interpret data is to set aside ones own biases and perceptions when examining the results.
\nRead the PSPP ANOVA for step by step help.<\/p>\n
1) Astrologers assert that our birth dates influence our success (or lack thereof) in life. Test this assumption with the GSS2018 data by analyzing the relationship between respondent\u2019s astrological sign (ZODIAK) with respondent\u2019s socioeconomic index (SEI10). The SEI10 is an indicator of economic and socio-economic attainment: The higher the SEI score, the more successful the respondent.
\nMake a prediction:
\nCan a person\u2019s astrological sign predict their socioeconomic success? Yes No
\nIf so, what zodiac sign is the most successful ____________
\nNow perform the analysis using the GSS2018 data
\nMean SEI10 of Pisces ______________
\nMean SEI10 of Taurus ______________
\nMean SEI10 of your astrological sign ______________
\nANOVA significance level ______________
\nIs the relationship statistically significant? Yes No
\nOn the basis of these data, would you say that astrologers are correct in their assertion of the power of the stars? Remember to explain this relationship based on what the test measures. Why?
\nFOR THE REMAINING EXERCISES SEE ABOVE FOR THE SYNTAX SEQUENCE (IN THE WALK THROUGH) BUT MAKE SURE YOU HAVE THE CORRECT VARIABLE NAMES AND IN THE PROPER ORDER
\n2) Test whether there is an association between a person\u2019s educational attainment and how much television they watch. Use the GSS2018 data set to perform an ANOVA on respondents\u2019 highest educational degree (DEGREE) and the hours per day they watch television (TVHOURS)–Compare with 2008-are the results the same? If not, how where they different?
\nMake a prediction:
\nPredict the number of hours each group watches television in a given day:
\nLess than High School Some College Graduate
\nHigh School Grad College Grad Degree
\n__________ __________ __________ __________ __________
\nNow perform the analysis with PSPP and find:
\nMean hours for people with less than a high school degree ___________________
\nMean hours for people with a high school degree ___________________
\nMean hours for people with a junior college degree ___________________
\nMean hours for people with a bachelor\u2019s degree ___________________
\nMean hours for people with a graduate degree ___________________
\nANOVA significance level ___________________
\nIs the relationship statistically significant Yes No
\nAccording to the Tukey Test, which categories have means that are significantly different from the means of those with a high school degree?
\n3) Test whether there is an association between a person\u2019s race and the prestige of their occupation. Use the GSS2018 data set to perform an ANOVA on RACE and PRESTG10. You are to do a tukey test at the end of this one as well so it is easier to just run the syntax like you did for exercise 2 and just change the relevant variables.
\nMean prestige score for Whites ___________________
\nMean prestige score for African Americans ___________________
\nMean prestige score for other races ___________________
\nANOVA significance level ___________________
\nIs the relationship statistically significant Yes No
\nAccording to the Tukey Test, which categories have means that are significantly different from the means of Whites?
\nOn the basis of these data, would you say that race is associated with occupational prestige? Remember to explain this relationship based on what the test measures. What could explain this relationship?
\n4) Test whether there is an association between a person\u2019s degree and the years at current job. Use the GSS2018 data sets to perform an ANOVA on DEGREE and YEARSJOB. You are to do a tukey test at the end of this one as well so it is easier to just run the syntax like you did for exercise 2 and just change the relevant variables..
\nMake a prediction:
\nPredict the mean number of years at current job for each group:
\nLess than High School Some College Graduate
\nHigh School Grad College Grad Degree
\n__________ __________ __________ __________ __________
\nNow perform the analysis with PSPP and find:
\nMean years for people with less than a high school degree ___________________
\nMean years for people with a high school degree ___________________
\nMean years for people with a junior college degree ___________________
\nMean years for people with a bachelor\u2019s degree ___________________
\nMean years for people with a graduate degree ___________________
\nANOVA significance level ___________________
\nIs the relationship statistically significant Yes No
\nAccording to the Tukey Test, which categories have means that are significantly different from the means of those with a high school degree?
\n5) Test whether there is an association between a person\u2019s race and the HOURS WORKED LAST WEEK (HRS1). Use the GSS2018 data set to perform an ANOVA on RACE and HRS1. You are to do a tukey test at the end of this one as well so it is easier to just run the syntax like you did for exercise 2 and just change the relevant variables..
\nMean HOURS WORKED for Whites ___________________
\nMean HOURS WORKED for African Americans ___________________
\nMean HOURS WORKED for other races ___________________
\nANOVA significance level ___________________
\nIs the relationship statistically significant Yes No
\nAccording to the Tukey Test, which categories have means that are significantly different from the means of Whites?
\nOn the basis of these data, would you say that race is associated with hours worked last week? Remember to explain this relationship based on what the test measures. What could explain this relationship?
\n6) Test whether there is an association between a person\u2019s race and the YEARS AT CURRENT JOB. Use the GSS2018 data set to perform an ANOVA on RACE and YEARSJOB. You are to do a tukey test at the end of this one as well so it is easier to just run the syntax like you did for exercise 2 and just change the relevant variables..
\nMean years for Whites ___________________
\nMean years for African Americans ___________________
\nMean years for other races ___________________
\nANOVA significance level ___________________
\nIs the relationship statistically significant Yes No
\nAccording to the Tukey Test, which categories have means that are significantly different from the means of Whites?
\nOn the basis of these data, would you say that race is associated with years at a current job? Remember to explain this relationship based on what the test measures. What could explain this relationship?<\/p>\n
——–<\/p>\n
ASSIGNMENT INSTRUCTIONS<\/p>\n
FOR SPSS:<\/p>\n
Go to: Analyze>Compare Means>One-Way ANOVA<\/p>\n
To include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), click on “Turkey,” click “continue,” then OK<\/p>\n
For PSPP<\/p>\n
Read the PSPP Chapter 6 for step by step help (Mac Only).<\/p>\n
For windows PSPP 1.53<\/p>\n
Go to: Analyze>Compare Means>One-Way ANOVA<\/p>\n
To include the Turkey test, click on Post-Hoc from the dialog box that appears when you go to ANOVA, after you enter the variables (one variable and one factor), click on “Turkey,” click “continue,” then OK<\/p>\n
Test whether there is an association between a person’s educational attainment and how much television they watch. Use the GSS2008<\/p>\n","protected":false},"excerpt":{"rendered":"
INSTRUCTIONS FOR ASSIGNMENT FOR SPSS: Go to: Analyze>Compare Means>One-Way ANOVA To include the Turkey test, click on Post-Hoc from the dialog box that appears when\u2026<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9033,7586,1386,7589,9034,9031,7587,7588,7584,7585,9032],"tags":[8809,7838,8811,8808,8813,8807,8806,8814,8810,8812],"class_list":["post-106972","post","type-post","status-publish","format-standard","hentry","category-assignment-help-uae","category-best-dissertation-writing-service-in-australia","category-best-research-paper-writing-services-in-usa","category-capstone-project-writing-service","category-cheap-essay-writing-services-china","category-essay-writing-service-usa","category-legitimate-phd-dissertation-writing-services-usa","category-term-paper-writing-service","category-thesis-writing-service-in-canada","category-uae-best-dissertation-writing-help-service","category-write-my-essay-australia","tag-best-master-thesis-writing-service","tag-best-thesis-writing-services","tag-cheap-thesis-writing-services","tag-master-thesis-help","tag-master-thesis-writing-service","tag-thesis-help-online-free","tag-thesis-writing-help-online","tag-thesis-writing-services-cost","tag-thesis-writing-services-near-me","tag-thesis-writing-services-reviews"],"_links":{"self":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts\/106972","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/comments?post=106972"}],"version-history":[{"count":0,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/posts\/106972\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/media?parent=106972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/categories?post=106972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.studyproessays.com\/help\/wp-json\/wp\/v2\/tags?post=106972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}