PsycTESTS Dataset 2015
DOI: 10.1037/t46660-000
|View full text |Cite
|
Sign up to set email alerts
|

Breaking Relationship Scale

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…PA entails comparing the eigenvalues obtained from the real data with eigenvalues obtained from simulated data of the same sample size and number of variables, in order to determine the number of real eigenvalues that outperform the random data (Hayton et al, 2004). PA was carried out with the R package random.polychor.pa (50 random simulations; 95th percentile of random eigenvalues) (Presaghi, Desimoni, & Presaghi, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…PA entails comparing the eigenvalues obtained from the real data with eigenvalues obtained from simulated data of the same sample size and number of variables, in order to determine the number of real eigenvalues that outperform the random data (Hayton et al, 2004). PA was carried out with the R package random.polychor.pa (50 random simulations; 95th percentile of random eigenvalues) (Presaghi, Desimoni, & Presaghi, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…In the best-fitting model, a single item (“has your husband ever made you feel obliged to give him money?”) was dropped due to cross loading. We ran additional sensitivity analysis using a parallel analysis approach to confirm the best-fitting factor structure [ 26 ]. We then conducted confirmatory factor analysis (CFA) on a random two-third split sample (n 2 = 620) to evaluate model fit of the remaining 20-item scale.…”
Section: Methodsmentioning
confidence: 99%