Web14 jan. 2024 · I am having trouble deciding what is the correct test to run for the One way ANOVA like (LSD, Tukey, Bonferroni) and need to do it correctly. The question is to run one on social media conditions on body satisfaction scores. There is 5 different other options so it’s asking for a specific group and sample sizes are similar (27,23,28,22). WebA good first step is inspecting a histogram which I'll run from the SPSS syntax below. *QUICK CHECK DEPENDENT VARIABLE. frequencies bdi /format notable /histogram. Result First off, our histogram (shown below) doesn't show anything surprising or …
Post hoc tests for a factor with two groups? ResearchGate
Webread_spss reads data from a file stored in SPSS *.sav format. It returns data.frame and never con-verts string variables to factors. Also it prepares SPSS values/variables labels for working with val_lab/var_lab functions. User-missings values are ignored. read_spss is simple wrapper around read.spss function from package foreign. Usage Web24 aug. 2024 · Results. CCT was found to be less (thin CCT) in group 2 as compared to group 1 and group 3 (P = 0.016 and P = 0.013, respectively).While CD measurements did not vary significantly between the groups, CV value was found to be lower in the control group as compared to that in the other groups (P = 0.001 and P = 0.002, … popovich interview highlights
expss: Tables, Labels and Some Useful Functions from …
Web24 mrt. 2024 · As mentioned earlier, the Kruskal-Wallis test allows to compare three or more groups. More precisely, it is used to compare three or more groups in terms of a quantitative variable. It can be seen as the extension to the Mann-Whitney test which allows to compare 2 groups under the non-normality assumption. In the context of our example, we are ... WebSPSS Two Way ANOVA Menu. We choose U nivariate whenever we analyze just one dependent variable (weight loss), regardless how many independent variables (diet and … Web19 mrt. 2010 · Viewed 44k times. Part of R Language Collective Collective. 13. The standard stats::kruskal.test module allows to calculate the kruskal-wallis test on a dataset: >>> data (diamonds) >>> kruskal.test (price~carat, data=diamonds) Kruskal-Wallis rank sum test data: price by carat by color Kruskal-Wallis chi-squared = 50570.15, df = 272, p-value ... popovich comedy pet theater lynn ma