SSregression

pairwise comparisons

Which of the following is not a use of multiple regression?

F-ratio

If you want to examine how BYU students compare to typical college students on purpose in life (using a scale with ordinal items, where we don’t have population parameters), which analysis should you use?

Compare and contrast ANOVA and regression in terms of the following: (a) research question, (b) type of data, (c) unit of analysis, (d) alternative hypotheses, and (e) statistical interpretation of rejecting the null.  

sampling distribution of correlation coefficient r

We hypothesized that single parents would be spread thinner with time and energy than married parents, and thus engage in less parental monitoring. Parenting monitoring is basically behaviors parents engage in to keep track of what their kids are doing. You examined this hypothesis using the NSYR dataset, which is a nationally representative dataset of U.S. teens. The measure of parental monitoring was the average of eight different teen-report items regarding different parental monitoring behaviors their parent engages in. Here is the Stata output.   Visual Description .  ttest parmon, by(plivedich) Two-sample t test with equal variances Stata Output (Table 1) Group Obs Mean Std. Err. Std. Dev. [95% Conf. Interval] not marr 1,090 5.443574 .0413559 1.365371 5.362428, 5.52472 married 2,273 5.702185 .0269463 1.284689 5.649343, 5.755027 combined 3,363 5.618365 .0227061 1.316756 5.573846, 5.662884 diff -.2586109 .0483145 -.3533397, -.1638822 diff = mean(not marr) – (married) Ho: diff = 0 t = -5.3527 degrees of freedom = 3361     Ha: diff < 0     Ha: diff != 0     Ha: diff > 0 Pr(T < t) = 0.0000 Pr(|T| > |t|) = 0.000 Pr(T > t) = 1.0000 . .  esize twosample parmon, by(plivedich) Effect size based on mean comparison Obs per group:not married       =  1,090married              =  2,273 Stata Output (Table 2) Effect Size Estimate [95% Conf. Interval] Cohen’s d -.197206 -.2695553, -.1248274 Hedges’s g -.197162 -.2694951, -.1247996 Please write up these independent samples t-test results, making sure to: (a) adhere to APA style; (b) report and interpret the t-test degrees of freedom, t-score, and p-value; (c) report and interpret Cohen’s d; (d) report the confidence interval around the difference between means; and (e) state the substantive conclusions from the analysis.

Research has shown that adolescent girls tend to have lower self-esteem than boys. However, we wanted to know whether they also differed in terms of the bases of their self-esteem. We hypothesized that girls would base their self-esteem on their body image more than boys. We examined this using a sample of 373 teens from across the U.S. using an item from Crocker et al.’s (2003) Contingencies of Self-worth Scale (Item: “When I think I look attractive, I feel good about myself.”). Here are the results, t(371) = -2.25, p = .02, d = -.24. Which of the following is an accurate interpretation?  

standard error for paired samples t-test