UPPS_raw

A dataframe containing responses to the UPPS personality scale (Whiteside &amp;
Lynam, 2005) of 645 participants of Study 2 of Steiner and Frey (2020). Each
column are the ratings to one of 45 items to assess urgency, premeditation,
perseverance, and sensation seeking. 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

UPPS_raw function

An object of class <code>data.frame</code> with 645 rows and 45 columns.

Format

A dataframe containing responses to the UPPS personality scale (Whiteside &amp;
Lynam, 2005) of 645 participants of Study 2 of Steiner and Frey (2020). Each
column are the ratings to one of 45 items to assess urgency, premeditation,
perseverance, and sensation seeking. The original data can be accessed via
<a href='https://osf.io/kxp8t/'>https://osf.io/kxp8t/</a>.

UPPS_raw: UPPS_raw

Description

Usage

Arguments

Format