Christopher Schmank's Academic Website
Christopher Schmank's Academic Website
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Latent Variable Modeling
Psychometric models of individual differences in reading comprehension: A reanalysis of Freed, Hamilton, and Long (2017)
Individual differences in reading comprehension have often been explored using latent variable modeling (LVM), to assess the relative …
Sara A. Goring
,
Christopher J. Schmank
,
Michael J. Kane
,
Andrew R.A. Conway
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Project
DOI
Investigating the structure of Intelligence using latent variable and psychometric network modeling: A commentary and reanalysis of McFarland (2020)
In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and …
Christopher J. Schmank
,
Sara A. Goring
,
Kristof Kovacs
,
Andrew R.A. Conway
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Project
DOI
Psychometric models of individual differences in reading comprehension - A reanalysis of Freed, Hamilton, and Long (2017)
This research project is the culmination of a first year project by Sara Anne Goring submitted and accepted by the Journal of Memory and Language.
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Cognitive Aging and Psychometric Modeling
This poster was scheduled to be presented at the Cognitive Aging Conference (April, 2020), which was postponed due to the COVID-19 global pandemic.
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Unified Models of Cognitive Ability
An exploration of a Unified Network Model of Intelligence. Psychometric network analysis of various Cognitive Ability measures.
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