Skip to main content

Table 2 Gender-related variables and corresponding factor loading in PCA

From: Gender score development in the Berlin Aging Study II: a retrospective approach

 

Component

1

2

3

4

5

Employment status 2014

− .041

− .082

− .097

− .042

.713

Risk-taking behaviour composite

− .004

.122

.384

.592

− .137

BFI-Neuroticism

.787

− .093

.047

− .068

− .002

BFI-Agreeableness

− .169

.297

− .486

.067

.066

BFI-Extraversion

− .057

.767

− .092

− .041

.062

BFI-Conscientiousness

− .227

.455

− .386

− .057

− .129

BFI-Openness

− .012

.812

.088

.060

− .021

The good things in my life

.381

− .145

.114

− .057

.403

Perceived stress

.815

− .092

− .024

.027

− .076

Chronic strain

.819

.016

.013

.106

− .056

UCLA-Loneliness: composite

− .176

.323

.121

.079

.567

Family status 2009–2014

.045

− .089

− .256

.823

.080

Education

− .100

.092

.730

− .011

.060

  1. In this factor analysis, an item was said to load on a given component if the factor loading was 0.40 or greater for that component and was less than 0.4 for other components. Based on this analysis, all items were included in logistic regression (n = 1869)