Three posts are the minimum – one in response to my prompt below and at least two responses to the posts of other students. Use the discussion like a study group: Use your knowledge, practice, ask questions… Wrap up your discussion after participating for a few days -while you’re working on the worksheet and homework related to the topic – don’t wait too long since the quis is coming. All discussion for this section close with the quiz.I have completed a number of ANOVA tests using the following variables from the GSS – a national random sample done by a reputable research entity.
Note: This is the 2012 data, not the same as what we’re using for the DAP! (For more info on the GSS, visit their website: gss.norc.org (Links to an external site.))Each of the discussions in this area has one main nominal (or ordinal) variable – and the output from a number of tests with different variables. Choose only one of these variables: ClassActions, DegreeActions, RaceActions, HealthActions, HappinessActions, LifeActions, Same-Sex MarriageActions. Clicking on the name will give you access to the file for that variable and its comparisons to other variables (listed below).Choose ONE of these sets of tests to discuss – choose one ANOVA test to interpret (your first post) and then discuss (with at least two other posts) those and other findings within that same discussion.In the file, there are two sets of output.
The first box of output has the general statistics – the mean, N, and standard deviation. The second box has the test results…Figure or find the df’s (dfbetween and dfwithin) and, using an alpha of 0.05, find the critical value of the test statistic (Use the correct table in the book – Critical Value of F for ANOVA).
Make a decision about the null hypothesis – accept or reject.
Interpret your findings – is there a relationship between these two variables? If so, what is the nature of that relationship? (Refer to the means or percents) Speculate on why these findings might be as they are.
ANOVAs:Nominal/Ordinal (independent) variables: Class, Degree, Race, Health, Happiness, Life, Same-Sex MarriageInterval (dependent) variables: WWW Hours Per Week – Number Of College-Level Sci Courses R Have Taken – Number Of Hours Worked Last Week – Number Of Hours Usually Work A Week – Weeks R. Worked Last Year – Total Family Income – Mother’s & Father’s Highest Year of School Completed – Days Of Poor Mental Health Past 30 Days – How Many Hours A Week R Spends On Household (HH) Work – Respondents Income – Hours Per Day Watching TV – How Often R Visited Public Library Last Year Note: R = Respondent (the person who answered the survey); WWW = world wide web; ; Wrk = Work; Hrs = HoursSearch entries or author Filter replies by unreadUnread Collapse replies Expand replies Subscribe ReplyReply to D08: Relationships – ANOVACollapse SubdiscussionAradenia Aguilar SotoAradenia Aguilar SotoMay 4, 2021May 4 at 5:03pmManage Discussion EntryVariables:Ordinal: Degree Interval: How often job takes too much time to fulfill familyH1There is a relationship between the responder’s education degree and how often the job takes too much time to fulfill family responsibilities.
H0 There is no relationship between the responder’s education degree and how often the job takes too much time to fulfill family responsibilities.ANOVA’s F test statistic: 2.548
Using df(s) and alpha .05 find Critical Value of F:
df- between the groups: 4 df-within the groups: 1285 CV(F): 2.37F=2.548 ˃ CV(F)=2.37
Reject H0: There is a relationship.
There is a relationship between people’s education degrees and how often their job takes too much time to fulfill family responsibilities. The higher mean, 2.16, is for people with a bachelor’s degree, and the lowest mean, 1.64, is for people with less than high school. Except for the Graduated category, which has a mean of 1.84, the means suggest that as higher people’s degree, more often their job affects the time they have for family responsibilities.
Requirements: 7-10 | .doc file
