The Toronto Alexithymia Scale is the most utilized measure of alexithymia in empirical research and is composed of \(d = 20\) items that can be subdivided into \(G = 3\) non-overlapping groups: \(d_1 = 7\) items to assess difficulty identifying feelings (DIF), \(d_2 = 5\) items to assess difficulty describing feelings (DDF) and \(d_3 = 8\) items to assess externally oriented thinking (EOT).
Students were 17 to 25 years old and 58% of them were female and 42% were male. They were asked to respond to each item using one of K = 5 categories: ``1 = completely disagree'', ``2 = disagree'', ``3 = neutral'', ``4 = agree'', ``5 = completely agree''.

datasets

Estimation, model selection and goodness-of-fit of (1) factor copula models for mixed continuous and discrete data in Kadhem and Nikoloulopoulos (2021) <doi:10.1111/bmsp.12231>; (2) bi-factor and second-order copula models for item response data in Kadhem and Nikoloulopoulos (2023) <doi:10.1007/s11336-022-09894-2>; (3) factor tree copula models for item response data in Kadhem and Nikoloulopoulos (2022) <arXiv:2201.00339>.

Aristidis Nikoloulopoulos

FactorCopula

Factor, Bi-Factor, Second-Order and Factor Tree Copula Models

Sayed H. Kadhem

Aristidis K. Nikoloulopoulos

TAS function

A data frame with 1925 observations on the following 20 items:<dl>
 <dt><code>DIF</code></dt>
<dd>items: 1,3,6,7,9,13,14.</dd> <dt><code>DDF</code></dt>
<dd>items: 2,4,11,12,17.</dd> <dt><code>EOT</code></dt>
<dd>items: 5,8,10,15,16,18,19,20.</dd> 
</dl>

Format

Toronto Alexithymia Scale (TAS) — TAS

A data frame with 1925 observations on the following 20 items:<dl>
 <dt><code>DIF</code></dt>
<dd>items: 1,3,6,7,9,13,14.</dd>

 <dt><code>DDF</code></dt>
<dd>items: 2,4,11,12,17.</dd>

 <dt><code>EOT</code></dt>
<dd>items: 5,8,10,15,16,18,19,20.</dd>

 
</dl>

TAS: Toronto Alexithymia Scale (TAS)

Description

Usage

Arguments

Format