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 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

GRiPS_raw function

An object of class <code>data.frame</code> with 810 rows and 8 columns.

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

Description

Usage

Arguments

Format