Evidence map›Paper›PMID 30467619›Full record

ArticleJournal of religion and health2019

A Data Mining and Data Visualization Approach to Examine the Interrelationships Between Life Satisfaction, Secularization and Religiosity.

Chong Ho Yu, Hailey Trier, Maryann Slama

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Article in Journal of religion and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chong Ho YuDepartment of Psychology, Azusa Pacific University, Azusa, CA, USA. cyu@apu.edu.ORCID http://orcid.org/0000-0003-2617-4853
Hailey TrierDepartment of Psychology, Oxford University, Oxford, England.
Maryann SlamaProgram of Industrial and Organizational Psychology, St. Mary's University, Halifax, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have suggested a positive relationship between secularization and happiness, as well as a geographical, cultural and development pattern, primarily based on data gathered in Europe and the USA. To gain a more holistic view on the interrelationships between secularization, religiosity and subjective perception of well-being, this study utilized the Wave 6 archival data set (2010-2014) of World Values Survey, which contains 74,042 observations from 60 countries. In this study, the rating of satisfaction with life was treated as the dependent variable. Four secular value indices and 12 variables related to religiosity were extracted from the data set for predictive analysis. Data mining tools, such as the partition tree and bootstrap forest approaches, suggested that only secular values were influential. Specifically, secular values had a negative relationship with satisfaction. In addition, hierarchical clustering based on secularization and satisfaction did not suggest a meaningful pattern. For example, the dendrogram showed that South Korea, Lebanon, Estonia and Algeria were grouped together. This implies that secularization and satisfaction could vary from country to country, regardless of their geographical location, culture and development status. Specifically, countries that are similar in terms of satisfaction and secularization are not necessarily culturally similar or geographically clustered. This discourages the idea that these factors (e.g., location, development status, culture) play a role in mediating the relationship between secularization and religiosity. By directly contradicting previous work showing a pattern based on Europe and the USA, this finding challenges the existing understanding of the relationship between these factors. By expanding the scope of study to the whole world, the current analysis suggested that the existing view regarding the positive relationship between secularization and well-being might be oversimplified.

Indexed as

Data MiningData VisualizationPersonal SatisfactionReligionHumansRepublic of KoreaSpiritualityBig data analyticsData miningHappinessMental healthReligiositySecularizationWell-being

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.