SLCS

Dataset containing individual items answers of SLCS questionnaire. They
were obtained during 2020 study on Polish incidental sample.

datasets

An user-friendly framework to preprocess raw item
scores of questionnaires into factors or scores and standardize
them. Standardization can be made either by their normalization
in representative sample, or by import of premade scoring table.

Michal Kosinski

stenR

Standardization of Raw Discrete Questionnaire Scores

SLCS function

A data frame with 103 rows and 19 variables<dl>
<dt>user_id</dt>
<dd>identity anonimized with 'ids::adjective_animal'</dd><dt>sex</dt>
<dd>sex of the participant ('M'ale, 'F'emale or 'O'ther)</dd><dt>age</dt>
<dd>age of the participant (15--68)</dd><dt>SLCS_1, SLCS_2, SLCS_3, SLCS_4, SLCS_5, SLCS_6, SLCS_7, SLCS_8, SLCS_9, SLCS_10,
SLCS_11, SLCS_12, SLCS_13, SLCS_14, SLCS_15, SLCS_16</dt>
<dd>Score for each of measure items. (1--5)</dd>
</dl>

Format

Sample data of SLCS questionnaire results — SLCS

A data frame with 103 rows and 19 variables<dl>
<dt>user_id</dt>
<dd>identity anonimized with 'ids::adjective_animal'</dd>

<dt>sex</dt>
<dd>sex of the participant ('M'ale, 'F'emale or 'O'ther)</dd>

<dt>age</dt>
<dd>age of the participant (15--68)</dd>

<dt>SLCS_1, SLCS_2, SLCS_3, SLCS_4, SLCS_5, SLCS_6, SLCS_7, SLCS_8, SLCS_9, SLCS_10,
SLCS_11, SLCS_12, SLCS_13, SLCS_14, SLCS_15, SLCS_16</dt>
<dd>Score for each of measure items. (1--5)</dd>


</dl>

SLCS: Sample data of SLCS questionnaire results

Description

Usage

Arguments

Format

Details