DOSPERT_raw

A data.frame containing responses to the risk subscale of the Domain Specific
Risk Taking Scale (DOSPERT; Weber, Blais, &amp; Betz, 2002) based on the publicly
available dataset (at <a href="https://osf.io/pjt57/">https://osf.io/pjt57/</a>) by Frey, Duncan, and Weber (2023).
The items measure risk-taking propensity on five different domains: social,
recreational, financial, health/ safety, and ethical.

datasets

Provides a complete workflow for exploratory factor analysis
(EFA). It covers data screening and factorability checks, a suite of
factor retention criteria for choosing the number of factors, and factor
extraction by principal axis factoring, maximum likelihood, unweighted
least squares, or diagonally weighted least squares from Pearson,
Spearman, Kendall, polychoric, tetrachoric, or two-stage
full-information maximum likelihood correlations. A built-in rotation
engine offers a range of orthogonal and oblique rotations, and standard
errors for loadings and related quantities can be obtained by analytic,
robust, or bootstrap methods. Further tools support model averaging
across analytic choices, multigroup EFA with factor congruence, EFA on
multiply imputed data, Schmid-Leiman transformation, reliability
coefficients (including McDonald's omegas), factor score estimation,
data simulation, and power analysis. Computationally intensive
procedures are implemented in 'C++' for speed.

Markus Steiner

EFAtools

Fast and Flexible Implementations of Exploratory Factor Analysis
Tools

DOSPERT_raw function

A data.frame with 3,123 rows (participants) and 30 columns, named by a
domain prefix and item number, with six items in each of five risk domains:<dl>
<dt>ethR_1 to ethR_6</dt>
<dd>(numeric) - Ethical-domain risk-taking items.</dd><dt>finR_1 to finR_6</dt>
<dd>(numeric) - Financial-domain risk-taking items.</dd><dt>heaR_1 to heaR_6</dt>
<dd>(numeric) - Health/safety-domain risk-taking items.</dd><dt>recR_1 to recR_6</dt>
<dd>(numeric) - Recreational-domain risk-taking items.</dd><dt>socR_1 to socR_6</dt>
<dd>(numeric) - Social-domain risk-taking items.</dd>
</dl>

Format

A data.frame containing responses to the risk subscale of the Domain Specific
Risk Taking Scale (DOSPERT; Weber, Blais, &amp; Betz, 2002) based on the publicly
available dataset (at <a href='https://osf.io/pjt57/'>https://osf.io/pjt57/</a>) by Frey, Duncan, and Weber (2023).
The items measure risk-taking propensity on five different domains: social,
recreational, financial, health/ safety, and ethical.

DOSPERT_raw — DOSPERT_raw

A data.frame with 3,123 rows (participants) and 30 columns, named by a
domain prefix and item number, with six items in each of five risk domains:<dl>
<dt>ethR_1 to ethR_6</dt>
<dd>(numeric) - Ethical-domain risk-taking items.</dd>

<dt>finR_1 to finR_6</dt>
<dd>(numeric) - Financial-domain risk-taking items.</dd>

<dt>heaR_1 to heaR_6</dt>
<dd>(numeric) - Health/safety-domain risk-taking items.</dd>

<dt>recR_1 to recR_6</dt>
<dd>(numeric) - Recreational-domain risk-taking items.</dd>

<dt>socR_1 to socR_6</dt>
<dd>(numeric) - Social-domain risk-taking items.</dd>


</dl>

DOSPERT_raw: DOSPERT_raw

Description

Usage

Arguments

Format