What is the Double-Multivariate Profile Analysis? Double Multivariate Profile Analysis is very similar to the Profile Analysis.  Profile Analyses are mainly concerned with test scores, more specifically with profiles of test scores.  Why is that relevant? Tests are commonly administered in medicine, psychology, and education studies to rank participants of a study.  A profile shows differences in scores on the test.  If a psychologist administer…

There are four tests for cases involving two independent samples. These tests are: The Mann-Whitney U test The Wald-Wolfowitz Runs test The Kolmogorov-Smirnov Z test The Moses Extreme Reactions test The Mann-Whitney U test in the tests for two independent samples is an alternative form of the t-test.  It is widely used to test whether or not the two independent samples are significantly different.  In SPSS, the Mann-Whitney U test in the tests…

There are some significance tests for two dependent samples, and these are namely the McNemar test, the Marginal homogeneity test, the sign test, and the Wilcoxon test. The McNemar test assesses the significant difference between the two types of dependent samples in cases where the variables of the interest is dichotomous.  The McNemar test is basically used by the researcher during the pre and the post studies in order to test for an experimen…

Significance tests for two dependent samples are a study of correlated samples.  This includes the before-after effect and matched paired study. McNemar’s, Marginal Homogeneity, Sign and the Wilcoxon test are non parametric tests that are used for two dependent samples.  The McNemar test is the best test for dichotomous variables with two dependent sample studies.  When a category of the sample is more, then the two marginal homogeneity te…

What is the Repeated Measures ANOVA? The repeated measures ANOVA is a member of the ANOVA family.  ANOVA is short for ANalysis Of VAriance.  All ANOVAs compare one or more mean scores with each other; they are tests for the difference in mean scores.  The repeated measures ANOVA compares means across one or more variables that are based on repeated observations.  A repeated measures ANOVA model can also include zero or more independent variables…

There are three significance tests for cases involving more than two dependent samples.  These are the Friedman Test, the Kendall’s W test, and the Cochran’s Q test. The Friedman test in the significance test for more than two dependent samples is also known as the Friedman two-way analysis of variance.  The Friedman Test in the significance tests for more than two dependent samples is used to test the null hypothesis.  In other word…

What is the Wilcoxon Sign Test? The Wilcoxon Sign test is a statistical comparison of the average of two dependent samples.  The Wilcoxon sign test is a sibling of the t-tests.  It is, in fact, a non-paracontinuous-level alternative to the dependent samples t-test.  Thus the Wilcoxon signed rank test is used in similar situations as the Mann-Whitney U-test.  The main difference is that the Mann-Whitney U-test tests two independent samples, where…

onsidered.  ANOVA is a way to control these types of undesirable variables. Testing of the Assumptions These assumptions can be tested using statistical software.  The assumption of homogeneity of variance can be tested using tests such as Levene’s test or the Brown-Forsythe Test.  Normality of the distribution of the population can be tested using plots, the values of Skeweness and Kurtosis, or using tests such as Shpiro-Wilk or Kolmogorov-Smirn…

… the covariate variables on the dependent variable.  Thus it eliminates the influence of the covariates from the analysis.  Then the residuals (the unexplained variance in the regression model) are subject to an MANOVA, which tests whether the independent variable still influences the dependent variables after the influence of the covariate(s) has been removed.  The One-Way MANCOVA includes one independent variable, one or more dependent variable…

…o the second category.  It is generally assumed that the ANOVA is an ‘analysis of dependencies.’ It is referred to as such because it is a test to prove an assumed cause and effect relationships.  In more statistical terms it tests the effect of one or more independent variables on one or more dependent variables.  It assumes an effect of Y = f(x1, x2, x3, … xn). The ANOVA is a popular test; it is the test to use when conducting experiments.  Thi…