Integrating Informative Hypotheses Into the EffectLiteR Framework
Abstract: Using the EffectLiteR framework, researchers can test classical null hypotheses about effects of interest via Wald and F-tests, while taking into account the stochastic nature of group sizes. This paper aims at extending EffectLiteR to test informative hypotheses, assuming for example that the average effect of a new treatment is greater than the average effect of an old treatment, which in turn is greater than zero. We present a simulated data example to show two methodological novelties. First, we illustrate how to use the Fbar- and generalized linear Wald test to assess informative hypotheses. While the classical test did not reach significance, the informative test correctly rejected the null hypothesis, indicating the need to take into account the order of the treatment groups. Second, we demonstrate how to account for stochastic group sizes in informative hypotheses using the generalized non-linear Wald statistic. The paper concludes with a short data example. https://meth.psychopen.eu/index.php/meth/article/view/7379
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Integrating Informative Hypotheses Into the EffectLiteR Framework ; volume:17 ; number:4 ; day:17 ; month:12 ; year:2021
Methodology ; 17, Heft 4 (17.12.2021)
- Creator
-
Keck, Caroline
Mayer, Axel
Rosseel, Yves
- DOI
-
10.5964/meth.7379
- URN
-
urn:nbn:de:101:1-2022010804135328052908
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Keck, Caroline
- Mayer, Axel
- Rosseel, Yves
Other Objects (12)
Informative Hypothesis Testing in the EffectLiteR Framework: A Tutorial
Bayesian evaluation of informative hypotheses in cluster-randomized trials
Integrating multiple knowledge sources for word hypotheses graph interpretation
"Lite"
An automated framework for hypotheses generation using literature
All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies
Evolution of microgastropods (Ellobioidea, Carychiidae): integrating taxonomic, phylogenetic and evolutionary hypotheses
A conceptual map of invasion biology : Integrating hypotheses into a consensus network
A conceptual map of invasion biology: Integrating hypotheses into a consensus network
Hypotheses.
Hypotheses.
Hypotheses
Informative Hypothesis Testing in the EffectLiteR Framework: A Tutorial
Bayesian evaluation of informative hypotheses in cluster-randomized trials
Integrating multiple knowledge sources for word hypotheses graph interpretation
"Lite"
An automated framework for hypotheses generation using literature
All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies
Evolution of microgastropods (Ellobioidea, Carychiidae): integrating taxonomic, phylogenetic and evolutionary hypotheses
A conceptual map of invasion biology : Integrating hypotheses into a consensus network
A conceptual map of invasion biology: Integrating hypotheses into a consensus network
Hypotheses.
Hypotheses.
Hypotheses
Informative Hypothesis Testing in the EffectLiteR Framework: A Tutorial
Bayesian evaluation of informative hypotheses in cluster-randomized trials
Integrating multiple knowledge sources for word hypotheses graph interpretation
"Lite"
An automated framework for hypotheses generation using literature
All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies
Evolution of microgastropods (Ellobioidea, Carychiidae): integrating taxonomic, phylogenetic and evolutionary hypotheses
A conceptual map of invasion biology : Integrating hypotheses into a consensus network
A conceptual map of invasion biology: Integrating hypotheses into a consensus network
Hypotheses.
Hypotheses.