DOSPERT

A list containing the the bivariate correlations (cormat) of the 40 items of
the Domain Specific Risk Taking Scale (DOSPERT; Weber, Blais, &amp; Betz, 2002)
and the sample size (N) based on the publicly available dataset at
(<a href="https://osf.io/rce7g">https://osf.io/rce7g</a>) of the Basel-Berlin Risk Study (Frey et al., 2017).
The items measure risk-taking propensity on six different domains: social,
recreational, gambling, health/ safety, investment, and ethical.

datasets

Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.

Markus Steiner

EFAtools

Fast and Flexible Implementations of Exploratory Factor Analysis
Tools

DOSPERT function

An object of class <code>list</code> of length 2.

Format

A list containing the the bivariate correlations (cormat) of the 40 items of
the Domain Specific Risk Taking Scale (DOSPERT; Weber, Blais, &amp; Betz, 2002)
and the sample size (N) based on the publicly available dataset at
(<a href='https://osf.io/rce7g'>https://osf.io/rce7g</a>) of the Basel-Berlin Risk Study (Frey et al., 2017).
The items measure risk-taking propensity on six different domains: social,
recreational, gambling, health/ safety, investment, and ethical.

DOSPERT: DOSPERT

Description

Usage

Arguments

Format