Variation in Respondents' Satisfaction with Life: An Analysis of Educational Levels and Frequency of

Univariate analyses of component and independent variables

Instructions You will be using the data file hw5.sav to examine variation in respondents’ satisfaction with four areas of their lives (family, friends, finance, and job). You will then create a summary measure of overall satisfaction, and will explore how (and whether) that summary measure varies in two ways: across educational levels and with frequency of sexual activity. Finally, you will briefly explore interactions among these possible influences on satisfaction. (Note that most of the recoding has been done for you - this is not always the case.) Requirements & Questions You must submit output (complete but cleaned) and are encouraged to submit typed answers to the questions. 1. Univariate analyses of component and independent variables: ? Perform a univariate analysis of SATFAM, SATFIN, SATJOB, and SATFRND – For each, you should look at and briefly summarize the frequency distribution, as well as basic summary statistics for central tendency and dispersion. Go beyond just reporting the data and say something interesting (here and below). For example, about which issues are the respondents the most/least happy? ? Look briefly at the distributions of EDUC and SEXFREQ. (Note, in particular, the percent of the sample who refused to answer or otherwise did not have an answer for SEXFREQ.) 2. Construct and assess index: ? Construct an index (including variable labels and value labels, at least for the extremes), called HAPPY, as the summation of values for the four components listed above. ? Perform a univariate analysis of HAPPY – look at and briefly summarize the frequency distribution, as well as basic summary statistics for central tendency and dispersion.. ? What is this variable conceptually? What does it measure, and what does it mean? What does it tell us that the individual components do not? ? Interpret the “alpha” for your index – is the index reliable? is it a good one? why or why not? 3. Bivariate analyses – what makes people happy? ? Using correlations and chi-square, what can you say about the relationship between educational attainment and overall satisfaction (i.e. between HAPPY and EDUC)? (You will need to request a crosstab to get chisquare, but ignore the table itself, for now.) Is it strong? statistically significant? ? Using correlations and chi-square, what can you say about the relationship between frequency of sexual activity and overall satisfaction (i.e. between HAPPY and SEXFREQ)? (You will need to request a crosstab to get chisquare, but ignore the table itself, for now.) Is it strong? statistically significant? 4. Discussion/conclusions ? What can you infer from these findings about what makes people happy? (Hint: Did either of the two independent variables (EDUC and SEXFREQ) have a statistically significant effect on the dependent variable (HAPPY)?) ? Bonus: Put that at a conceptual level, thinking about what broader concepts these variables might operationalize. Of what larger concept might education be a specific instance, indicator, or aspect? What about sexual frequency