GRiPS_raw

A data.frame containing responses to the General Risk Propensity Scale (GRiPS, Zhang,
Highhouse &amp; Nye, 2018) of 810 participants of Study 1 of Steiner and Frey (2020).
The original data can be accessed via <a href="https://osf.io/kxp8t/">https://osf.io/kxp8t/</a>.

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

GRiPS_raw function

A data.frame with 810 rows (participants) and 8 columns, one per GRiPS
item. Each item is a self-report indicator of general risk propensity, labelled
by a keyword from the item:<dl>
<dt>fun</dt>
<dd>(numeric) - Risk-taking makes life more fun.</dd><dt>friends</dt>
<dd>(numeric) - Friends would describe the respondent as a risk taker.</dd><dt>enjoy</dt>
<dd>(numeric) - Enjoyment of taking risks.</dd><dt>hurt</dt>
<dd>(numeric) - Willingness to take a risk even if it might hurt.</dd><dt>part</dt>
<dd>(numeric) - Risk-taking as an important part of life.</dd><dt>commonly</dt>
<dd>(numeric) - Commonly takes risks.</dd><dt>chances</dt>
<dd>(numeric) - Belief in taking chances.</dd><dt>attracted</dt>
<dd>(numeric) - Attracted, rather than scared, by risk.</dd>
</dl>

Format

A data.frame containing responses to the General Risk Propensity Scale (GRiPS, Zhang,
Highhouse &amp; Nye, 2018) of 810 participants of Study 1 of Steiner and Frey (2020).
The original data can be accessed via <a href='https://osf.io/kxp8t/'>https://osf.io/kxp8t/</a>.

GRiPS_raw — GRiPS_raw

A data.frame with 810 rows (participants) and 8 columns, one per GRiPS
item. Each item is a self-report indicator of general risk propensity, labelled
by a keyword from the item:<dl>
<dt>fun</dt>
<dd>(numeric) - Risk-taking makes life more fun.</dd>

<dt>friends</dt>
<dd>(numeric) - Friends would describe the respondent as a risk taker.</dd>

<dt>enjoy</dt>
<dd>(numeric) - Enjoyment of taking risks.</dd>

<dt>hurt</dt>
<dd>(numeric) - Willingness to take a risk even if it might hurt.</dd>

<dt>part</dt>
<dd>(numeric) - Risk-taking as an important part of life.</dd>

<dt>commonly</dt>
<dd>(numeric) - Commonly takes risks.</dd>

<dt>chances</dt>
<dd>(numeric) - Belief in taking chances.</dd>

<dt>attracted</dt>
<dd>(numeric) - Attracted, rather than scared, by risk.</dd>


</dl>

GRiPS_raw: GRiPS_raw

Description

Usage

Arguments

Format