Analysis of the divorce rate by the duration of marriage showed that almost ********* of the divorces in 2023 occurred within the first five years of marriage in Turkey. Additionally, **** percent of the finalized divorces were between couples that had been married from *** to 10 years.

Turkey Vital Statistics: Registry: Crude Divorce Rate data was reported at 1.599 ‰ in 2017. This records an increase from the previous number of 1.591 ‰ for 2016. Turkey Vital Statistics: Registry: Crude Divorce Rate data is updated yearly, averaging 1.585 ‰ from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 1.696 ‰ in 2014 and a record low of 1.343 ‰ in 2007. Turkey Vital Statistics: Registry: Crude Divorce Rate data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.G003: Vital Statistics.

The number of divorces in Turkey fluctuated, though mostly increased from 2001 to 2022. Over this time period the number of divorces in Turkey has increased from approximately ** thousand in 2001 to almost *** thousand in 2022. In 2023, the figures dropped to nearly *** thousand.

The most pressing reason for divorce for both men and women was the irresponsible and indifferent behavior of the spouse in Turkey in 2021. Additionally, more than 19 percent of the women gave cheating as the reason for their divorce, while for men, the share was just 8 percent.

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About Dataset

The Divorce Predictors Scale (DPS) dataset is derived from a study focused on predicting divorce using the DPS within the framework of Gottman couples therapy. The dataset comprises responses collected from participants, consisting of both divorced and married couples.

Content:

The dataset includes two main components: 1. Personal Information Form: This section contains demographic and personal details provided by the participants. 2. Divorce Predictors Scale (DPS): Participants completed the DPS, which consists of items related to various aspects of relationships, including creating a common meaning, failed attempts to repair, love map, and negative conflict behaviors.

Attributes:

The dataset features the following attributes: - Participant ID: Unique identifier for each participant. - Marital Status: Indicates whether the participant is divorced or married. - Demographic Information: Includes age, gender, education level, and other relevant demographic factors. - Responses to DPS Items: Each item of the DPS is represented as a separate attribute, providing insight into the participants' perceptions and behaviors related to marital dynamics.

However, the dataset released by the researchers includes ONLY the questions, responses, and the marital status (married or divorced).

Potential Uses:

1. Predictive Modeling: The dataset lends itself to predictive modeling tasks aimed at forecasting divorce based on DPS responses and demographic information.
2. Feature Selection: Researchers can explore feature selection techniques to identify the most significant predictors of divorce within the DPS.
3. Counseling and Therapy Applications: Professionals in the field of family counseling and therapy can utilize the DPS dataset to inform case formulation and intervention planning.

Significance:

The DPS dataset offers valuable insights into the predictive capabilities of the scale in identifying marital discord and potential divorce risk factors. Moreover, its confirmation in a Turkish sampling context underscores its potential applicability across different cultural settings.

Limitations:

1. Sample Bias: The dataset may exhibit biases inherent in the participant selection process.
2. Generalizability: Findings derived from the dataset may not be universally applicable and should be interpreted with consideration for cultural and contextual differences.

Availability:

The DPS dataset is available for public use on Kaggle, providing researchers and practitioners with access to valuable data for exploring marital dynamics and divorce prediction.

Deep Dive into dataset

information regarding this dataset was extracted from the paper titled "divorce prediction using correlation based feature selection and artificial neural networks," which utilized the dataset in question.

Here are some additional insights that could be beneficial for data scientists working with this dataset:

1. Uses: Researchers could explore how predictive factors evolve over time within marriages, providing deeper insights into the dynamics of relationship deterioration.

2. Combination of Predictors: Gottman highlights the combination of predictors such as the "four horsemen" (Criticism, Contempt, Stonewalling, Defensiveness) along with failed repair attempts as highly indicative of future divorce. Data scientists could investigate interactions between these predictors to uncover synergistic or antagonistic relationships that enhance or diminish divorce prediction accuracy.

3. Behavioral Dynamics: The study emphasizes the importance of observing couples' behaviors and reactions during conflict, suggesting that even a few minutes of interaction following an argument can provide insight into the likelihood of divorce. This emphasis on real-time behavioral observations suggests the potential for time-series analysis of behavioral data within the dataset, capturing moment-to-moment dynamics preceding divorce.

4. Quality of Friendship: Gottman and Silver suggest that the quality of friendship between spouses significantly influences marital satisfaction and longevity. Data scientists could explore measures of friendship quality within the DPS dataset and assess their predictive power regarding divorce outcomes. This could involve developing novel features or indices to quantify friendship quality based on DPS responses.

5. Cultural Context: The introduction highlights the rising divorce rates in Turkey an...

人口数据统计：注册处：粗离婚率在12-01-2017达1.599月利率‰，相较于12-01-2016的1.591月利率‰有所增长。人口数据统计：注册处：粗离婚率数据按年更新，12-01-2001至12-01-2017期间平均值为1.585月利率‰，共17份观测结果。该数据的历史最高值出现于12-01-2014，达1.696月利率‰，而历史最低值则出现于12-01-2007，为1.343月利率‰。CEIC提供的人口数据统计：注册处：粗离婚率数据处于定期更新的状态，数据来源于Turkish Statistical Institute，数据归类于Global Database的土耳其 – 表 TR.G002：人口数据统计。

This statistic depicts global views on premarital sex in 2013. In Indonesia, 97 percent of residents believe that premarital sex among adults is morally unacceptable. Sex before marriage Nine out of ten people in Indonesia, Jordan, Pakistan, and Turkey believed that engaging in sex before marriage was not acceptable. The majority of the Europeans found premarital sex to be morally acceptable or not a moral issue at all. Indonesia has the largest Muslim population in the world totaling over 209 million people. In some religions, like Catholicism and Islam, having sex before marriage is considered morally unacceptable. Other predominantly religious countries such as Jordan and Pakistan also have similar rates of this belief.In the United States, 29 percent of people consider the act of having sex before marriage as morally wrong while 20 percent believe that getting a divorce is also morally unacceptable . Abstinence-only sex education is not uncommon in the United States where states can apply for federal funding for these programs. Abstinence-only programs try to prevent teens or all unmarried individuals from having any sexual activity. Critics state that these programs often include negative messages about sexuality, gender roles, and may also try to minimize the effectiveness of birth control. Some 13 percent of teenage students desire more information about contraceptive use . Education about contraception and safe sex can help prevent unwanted pregnancies and sexually transmitted infections.