Measures of clinical significance offer important information about psychological interventions that cannot be garnered from tests of the statistical significance of the change from pretest to posttest. For example, ...

A common question of interest to researchers in psychology is the equivalence of two or more groups. Failure to reject the null hypothesis of traditional hypothesis tests such as the ANOVA F‐test (i.e., H0: μ1 = … = μ k ) ...

Researchers often want to demonstrate a lack of interaction between two categorical predictors on an outcome. To justify a lack of interaction, researchers typically accept the null hypothesis of no interaction from a ...

Background: Mental disorders are a leading cause of disability and early mortality. The objective of this study was to describe and compare psychosocial indicators and mental health service use among ethnoculturally diverse ...

Some researchers in psychology have ordinarily relied on traditional linear models when assessing the relationship between predictor(s) and a continuous outcome, even when the assumptions of the traditional model (e.g., ...

Background: State boredom–the experience of boredom in the moment – is related to a number of psychosocial issues. Until the recent creation of the Multidimensional State Boredom Scale (MSBS), research was constrained by ...

Psychological researchers often investigate differences between groups in the amount of change from pre-test to post-test. For example, researchers treating a group of depressed students may wish to compare the amount of ...

Alternatives for positively skewed and heteroscedastic data include the Yuen-Welch (YW) test, data transformations, and the generalized linear model (GzLM). Because the GzLM is rarely considered in psychology compared to ...

The objective of this research was to track psychosocial well-being over 2 years following cardiac rehabilitation (CR) initiation, and its' association with heart-health behaviors. Patients from 3 CR programs were approached ...

Researchers are often interested in testing for the equivalence of population variances. Traditional difference-based procedures are appropriate to answer questions about differences in some statistic (e.g., variances, ...