How to conduct research and statistics
This board is focused on providing users with information and methods for conducting and interpreting research and statistics. https://www.scalelive.com
Calculate The Sample Size Needed for a Research Study
The methods for conducting and interpreting sample size calculations are available for chi-square, Mann-Whitney U, independent samples t-test, one-way ANOVA, McNemar's test, Wilcoxon test, repeated-measures t-test, repeated-measures ANOVA, point biserial, and Pearson's r.
Use and Interpret ANOVA in SPSS
ANOVA is a between-subjects statistical test used when comparing three or more independent groups in a between-subjects fashion on a continuous outcome. The statistical assumptions of independence of observations, normality, and homogeneity of variance have to be met before running an ANOVA.
Appraising Randomized Controlled Trial Evidence for Empirical Benchmarks
There are several criteria that have to be met when appraising randomized controlled trials: Random selection, random assignment, concealed randomization, equipoise between treatment groups, sufficient follow-up on outcomes, intention-to-treat analysis, blinding, equal treatment of groups, clinically significant treatment effects, and clinically precise estimates of treatment effects.
Statistical Assumptions Must Be Checked Before Using Inferential Statistics
There are several different statistical assumptions: Independence of observations, normality, homogeneity of variance, normality of difference scores, sphericity, and the chi-square assumption. There are statistical tests used to assess statistical assumptions: Skewness and kurtosis, logarithmic transformations, Levene's Test of Equality of Variances, and Mauchly's Test.