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Divorce Prediction Scale (DPS) Dataset
Data Science and Analytics
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About
This dataset, titled "Split or Stay: Divorce Predictor Dataset," offers a fascinating exploration into marital dynamics, derived from a study that employed the Divorce Predictors Scale (DPS) within the framework of Gottman couples therapy. It features responses collected from both divorced and married participants, providing valuable insights into the predictive capabilities of the scale in identifying marital discord and potential divorce risk factors. The dataset's confirmation in a Turkish sampling context further highlights its potential applicability across different cultural settings.
Columns
The dataset includes several key attributes:
- Participant ID: A unique identifier for each individual participant.
- Marital Status: Indicates whether the participant is 'Married' (represented as '1') or 'Divorced' (represented as '0').
- Demographic Information: This covers personal details such as age, gender, education level, monthly income, family structure, type of marriage, happiness in marriage, and thoughts on divorce.
- Responses to DPS Items (Atr1 to Atr54): These 54 attributes correspond to the individual questions from the Divorce Predictors Scale, capturing participants' perceptions and behaviours related to various aspects of relationships, including creating common meaning, failed attempts to repair, love map, and negative conflict behaviours. Examples of questions include items on communication, shared values, knowledge of partner's inner world, and conflict resolution styles.
Distribution
The dataset is available in two convenient formats: CSV and XLSX files. The CSV file is approximately 19.19 KB, and the XLSX file is around 40.63 KB. It contains data for 170 participants, with 84 (49%) being divorced and 86 (51%) married. The structure includes 54 question columns (Atr1-Atr54) and a final 'status' column indicating marital status.
Usage
This dataset is ideal for a variety of applications:
- Predictive Modelling: Forecasting divorce likelihood based on DPS responses and demographic information.
- Feature Selection: Identifying the most significant predictors of divorce within the DPS.
- Counselling and Therapy Applications: Informing case formulation and intervention planning for family counsellors and therapists.
- Longitudinal Analysis: Exploring how predictive factors evolve over time in relationships.
- Behavioural Dynamics: Investigating interactions between key predictors like the "four horsemen" (Criticism, Contempt, Stonewalling, Defensiveness) and failed repair attempts.
- Friendship Quality Assessment: Developing novel features or indices to quantify friendship quality between spouses based on DPS responses.
- Data Mining: Applying classification, estimation, and clustering techniques for divorce risk assessment.
Coverage
The dataset primarily focuses on a Turkish sampling context, with a significant portion of participants from the Black Sea region. The age range of participants spans 20 to 63 years, with a mean age of 36.04. Demographic details include gender (49% male, 51% female), education levels ranging from primary school to master's degrees, and various monthly income brackets. The sample includes individuals who were married for love (43.5%) or in arranged marriages (56.5%), and 74.7% of participants have children. Notably, the study included divorced individuals and married participants who reported happy marriages without thoughts of divorce.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is valuable for:
- Researchers in social sciences, psychology, and data science, keen on exploring marital dynamics and divorce prediction.
- Data scientists looking to apply machine learning and data mining techniques to real-world social problems.
- Professionals in family counselling and therapy seeking data-driven insights to inform their practices and intervention strategies.
- Students and academics interested in predictive analytics, survey data analysis, and cross-cultural studies of relationships.
Dataset Name Suggestions
- Divorce Prediction Scale (DPS) Dataset
- Marital Dissolution Predictor
- Turkish Couples Relationship Survey
- Gottman Divorce Predictors Study
- Relationship Health Insights Dataset
Attributes
Original Data Source: Divorce Prediction Scale (DPS) Dataset
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