Results 281 to 290 of about 403,106 (315)

Beyond Global IQ: Identifying Subgroups of Intellectual Functioning in Dyslexia Through Latent Profile Analysis. [PDF]

open access: yesJ Intell
Radtke BM   +5 more
europepmc   +1 more source

Latent Profile Analysis of Childhood Maltreatment and Neural Markers in Depression.

open access: yesJAMA Netw Open
Rowe J   +16 more
europepmc   +1 more source

Profiles in Dementia-Related Anxiety: A Latent Profile Analysis

The Journals of Gerontology: Series B, 2022
Abstract Objectives Dementia-related anxiety (DRA) is the concern about current or future cognitive decline and potential diagnosis of Alzheimer’s disease or related dementias (ADRD). Existing research suggests that DRA likely develops due to diverse reasons (e.g., family ADRD history, self-perceived ...
Molly Maxfield, Keenan A Pituch
openaire   +2 more sources

Latent Profile Analysis

Family Business Review, 2016
We demonstrate how latent profile analysis (LPA) can be applied to generate profiles (i.e., homogenous subgroups) in a sample of family firms. In doing so, we highlight how LPA can provide additional insight into family firm phenomena when used in conjunction with other methodological approaches (i.e., regression). We compare LPA with other techniques
Stanley, Laura   +2 more
openaire   +2 more sources

Eating styles profiles in Chilean women: A latent Profile analysis

Appetite, 2021
The aims of this study were to identify profiles of women based on their levels of emotional, external and restraint eating, and to determine differences in these eating styles profiles based on nutritional status, sociodemographic characteristics, stress, social support, and satisfaction with the body image.
Berta Schnettler   +11 more
openaire   +3 more sources

Robustness of Latent Profile Analysis to Measurement Noninvariance Between Profiles

Educational and Psychological Measurement, 2021
Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous indicators that represent different dimensions. It is a common practice to measure each dimension using items, create composite or factor scores for each dimension, and use these scores as indicators of profiles in LPA.
Yan Wang, Eunsook Kim, Zhiyao Yi
openaire   +2 more sources

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