Dataset for emotional abuse assessment
Full name: Dataset for emotional abuse assessment by Deen Mohd

The dataset for the Deenz Emotional Abuse Scale (DEAS-18) study comprises detailed participant responses collected to validate the psychometric properties of the scale. It contains 90 observations across multiple variables, including demographic information (e.g., age, gender) and DEAS-18 subscale scores (Belittling, Isolation, and Threatening Behavior). The dataset was compiled from a sample of college students aged 18-30 years, recruited through convenience sampling.

Dataset Structure: The dataset includes seven key variables:

Participant ID – A unique numerical identifier assigned to each respondent. Age – The age of the participant (in years). Gender – Categorical variable (Male, Female, Other). Belittling Score – The participant’s score on the Belittling subscale (ranging from 1 to 5, with higher scores indicating greater exposure to emotional belittlement). Isolation Score – Score on the Isolation subscale (similar 1–5 range). Threatening Behavior Score – Score on the Threatening Behavior subscale (same range). Total DEAS-18 Score – The sum of all subscale scores, representing the overall level of emotional abuse reported by the participant. Data Collection and Processing: The dataset was cleaned and processed to remove incomplete responses or inconsistencies. Internal consistency checks (Cronbach’s alpha) were conducted to ensure reliability. Scores were analyzed using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to validate the scale’s dimensionality. The dataset was stored in CSV format, making it accessible for statistical analysis in SPSS, R, and Python. Statistical Highlights: The mean Belittling Score was approximately 3.45 (SD = 0.89). The Isolation Score had a mean of 3.12 (SD = 0.94). The Threatening Behavior Score had a mean of 2.98 (SD = 1.01). The Total DEAS-18 Score averaged 3.18 (SD = 0.95), confirming the instrument’s effectiveness in distinguishing different levels of emotional abuse. Applications and Future Use: The dataset serves as a foundation for further validation studies, cross-cultural comparisons, and potential longitudinal research into the psychological impact of emotional abuse. Researchers can use it to refine intervention strategies and develop predictive models for identifying at-risk individuals. Additionally, it supports the computerized Drdeenz Emotional Abuse Test, making automated assessments more reliable.
<table>
    <tr>
        <th>Participant ID</th>
        <th>Age</th>
        <th>Gender</th>
        <th>Belittling Score</th>
        <th>Isolation Score</th>
        <th>Threatening Behavior Score</th>
        <th>Total DEAS-18 Score</th>
    </tr>
    <tr><td>001</td><td>22</td><td>Male</td><td>3.5</td><td>3.2</td><td>3.0</td><td>3.23</td></tr>
    <tr><td>002</td><td>24</td><td>Female</td><td>4.1</td><td>3.8</td><td>3.5</td><td>3.8</td></tr>
    <tr><td>003</td><td>21</td><td>Male</td><td>2.9</td><td>3.0</td><td>2.8</td><td>2.9</td></tr>
    <tr><td>004</td><td>23</td><td>Female</td><td>3.7</td><td>3.5</td><td>3.6</td><td>3.6</td></tr>
    <tr><td>005</td><td>26</td><td>Male</td><td>4.0</td><td>3.7</td><td>3.9</td><td>3.87</td></tr>
    <tr><td>006</td><td>25</td><td>Female</td><td>3.9</td><td>3.6</td><td>3.8</td><td>3.77</td></tr>
    <tr><td>007</td><td>27</td><td>Male</td><td>2.7</td><td>3.1</td><td>2.9</td><td>2.9</td></tr>
    <tr><td>008</td><td>29</td><td>Female</td><td>4.3</td><td>4.0</td><td>4.1</td><td>4.13</td></tr>
    <tr><td>009</td><td>30</td><td>Male</td><td>3.2</td><td>3.4</td><td>3.3</td><td>3.3</td></tr>
    <tr><td>010</td><td>22</td><td>Female</td><td>3.6</td><td>3.5</td><td>3.4</td><td>3.5</td></tr>
    <tr><td>011</td><td>28</td><td>Male</td><td>4.2</td><td>4.1</td><td>4.0</td><td>4.1</td></tr>
    <tr><td>012</td><td>32</td><td>Female</td><td>3.1</td><td>3.3</td><td>3.2</td><td>3.2</td></tr>
    <tr><td>013</td><td>31</td><td>Male</td><td>2.5</td><td>2.9</td><td>2.8</td><td>2.73</td></tr>
    <tr><td>014</td><td>35</td><td>Female</td><td>4.5</td><td>4.3</td><td>4.4</td><td>4.4</td></tr>
    <tr><td>015</td><td>34</td><td>Male</td><td>3.8</td><td>3.6</td><td>3.7</td><td>3.7</td></tr>
    <tr><td>016</td><td>33</td><td>Female</td><td>2.8</td><td>3.0</td><td>2.9</td><td>2.9</td></tr>
    <tr><td>017</td><td>36</td><td>Male</td><td>3.4</td><td>3.2</td><td>3.3</td><td>3.3</td></tr>
    <tr><td>018</td><td>37</td><td>Female</td><td>4.1</td><td>3.9</td><td>4.0</td><td>4.0</td></tr>
    <tr><td>019</td><td>40</td><td>Male</td><td>2.6</td><td>2.9</td><td>2.7</td><td>2.73</td></tr>
    <tr><td>020</td><td>39</td><td>Female</td><td>3.9</td><td>3.7</td><td>3.8</td><td>3.8</td></tr>
</table>