Informative hypotheses: How to move beyond classical null hypothesis testing
Almost all researchers in psychology have specific expectations about their theories in the form of hypothesized order constraints between statistical parameters. For example: the mean of group 1 is larger than the mean of group 2 which in turn is...
Prolonged Grief Disorder, depression, and posttraumatic stress-disorder are distinguishable syndromes
This study examined the distinctiveness of symptoms of Prolonged Grief Disorder (PGD), depression, and posttraumatic stress disorder (PTSD). We compared the fit of a one-factor model with the fit of four hierarchical models in which symptoms formed three distinct correlated...
On the Progression and Stability of Adolescent Identity Formation. A Five-Wave Longitudinal Study in Early-to-Middle and Middle-to-Late Adolescence
This study examined identity development in a 5-wave study of 923 early-to-middle and 390 middle-to-late adolescents thereby covering the ages of 12–20.
Testing inequality constrained hypotheses in SEM Models
Researchers often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model. It is currently not possible to test these so-called informative hypotheses in structural equation modeling software.
Ph.D. Trajectories and Labour Market Mobility. A survey of recent doctoral recipients at four universities in the Netherlands
The results of a survey of recent doctoral recipients at four universities in The Netherlands.
Bayesian model selection of informative hypotheses for repeated measurements
When analyzing repeated measurements data, researchers often have expectations about the relations between the measurement means. The expectations can often be formalized using equality and inequality constraints between (i) the measurement means over time, (ii) the measurement means between groups,
Tutorial For Inequality Constrained Latent Class Modeling (LCM version 1.0)
Reference Fulltext Frequent collaborators Van de Schoot, R., & Hoijtink, H. (2008). Tutorial For Inequality Constrained Latent Class Modeling (LCM version 1.0) (Tutorial paper). Retrieved from Informative Hypotheses website on Utrecht University’s website: http://informative-hypotheses.sites.uu.nl/wp-content/uploads/sites/23/2015/04/tutorial_v04.pdf Herbert Hoijtink
A philosopher’s view on Bayesian evaluation of informative hypotheses
This chapter provides an answer to the question: What it is, philosophically speaking, to choose a model in a statistical procedure, and what does this amounts to in the context of a Bayesian inference? Special attention is given to Bayesian...