Evidence map›Paper›PMID 38813179›Full record

ArticleHeliyon2024

Beyond regression: Unpacking research of human complex systems with qualitative comparative analysis.

Xinxin Xu, Safdar Husain Tahir, Khuda Bakhsh Khan, Mushtaq A Sajid, Muhammad Azhaf Safdar

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

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

5 authors.

Xinxin XuBusiness School, Chengdu University, Chengdu-610106, People's Republic of China.
Safdar Husain TahirLyallpur Business School, Government College University, Faisalabad-38000, Pakistan.
Khuda Bakhsh KhanDepartment of Education, Government College University, Faisalabad-38000, Pakistan.
Mushtaq A SajidMohi-ud-Din Islamic University, Nerian Sharif, AJK-11030, Pakistan.
Muhammad Azhaf SafdarFaculty of Pharmaceutical Sciences, Government College University, Faisalabad-38000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study underscores the effectiveness of Qualitative Comparative Analysis (QCA) when compared to conventional regression analysis (CRA) in the investigation of complex human systems. Utilizing historical secondary cross-national data from Lipset & Man (1960) spanning 18 countries, where CRA may be impractical, the research emphasizes the superior performance of QCA, specifically utilizing both crisp set QCA and fuzzy set QCA. The dataset includes variables such as democracy survival and its precursors, such as gross national product per capita, urbanization, literacy rate, and industrial labor force. In contrast to conventional regression results indicating an insignificant relationship between democracy survival and its antecedents, crisp set QCA identifies two distinct combinations of antecedents associated with high levels of democracy survival, albeit with limited solution coverage. Meanwhile, fuzzy set qualitative comparative analysis (fsQCA) reveals five combinations of antecedents linked to robust democracy survival, providing adequate solution coverage and consistency. These findings suggest that fsQCA excels in capturing the intricacies of real-life scenarios in human complex systems, offering more robust empirical solutions compared to crisp set QCA and conventional regression. As a result, researchers may find value in integrating fsQCA into their new projects focused on human complex systems.

Indexed as

Comparative studyConventional regression analysisCross-national datacsQCADemocracy survivalfsQCAHuman complex systems

Identifiers

PMID38813179
PMCPMC11133931

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.