Paper Title

Analysis of Correlation between Generalized Anxiety Disorder and Compulsive Buying Behavior: A Pilot Study

Article Identifiers

Registration ID: IJNRD_184805

Published ID: IJNRD2212121

DOI: http://doi.one/10.1729/Journal.32381

Authors

DISHANI CHAKRABORTY , ISHITA CHAKRABORTY

Keywords

Compulsive Buying Behavior (CBB), Generalized Anxiety Disorder (GAD), Post-Covid 19, Pearson Co-efficient

Abstract

This study is based on the initiative of a pilot program to initially analyze the co-relation between Generalized Anxiety Disorder (GAD) and Compulsive Buying Behavior (CBB). The statistical measure used is two-tailed Bivariate Correlation (Pearson Co-efficient). The findings suggested the two scales are positively co-related at 0.01 level. The r value was 0.411 with the sample size of 50. For Generalized Anxiety Disorder, The Mean score is 7.56 and the Standard deviation is 5.147 respectively. For Compulsive Buying Scale, The Mean score is 33.39 and Standard deviation is 10.619 respectively. A descriptive analysis was used to identify which gender is more susceptible to GAD and CBB hence the findings suggested in the GAD-7 scale for male the Mean is 6.89 and Standard Deviation is 5.238. For Female, in GAD-7 scale the Mean is 8.41 and Standard Deviation is 5.021 respectively. For the Compulsive Buying Scale, the Mean for male participants is 33.39 and the Standard Deviation is 10.619 respectively whereas for female participants the Mean and Standard Deviation of Female was 31.05 and 8.984 respectively. On gender-wise comparative analysis of the mean scores of both GAD and CBB the findings suggest female participants are more prone to GAD and its risk factors whereas male participants are more prone to exhibit CBB. The study therefore prepares a prefatory for further researches to be investigated based on GAD and CBB especially in the domain of Indian Population with the association to cultural relevance across urban and rural Indian states.

How To Cite (APA)

DISHANI CHAKRABORTY & ISHITA CHAKRABORTY (December-2022). Analysis of Correlation between Generalized Anxiety Disorder and Compulsive Buying Behavior: A Pilot Study. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), b223-b227. http://doi.one/10.1729/Journal.32381

Citation

Issue

Volume 7 Issue 12, December-2022

Pages : b223-b227

Other Publication Details

Paper Reg. ID: IJNRD_184805

Published Paper Id: IJNRD2212121

Downloads: 000121997

Research Area: Social Science and Humanities 

Country: Kolkata , WEST BENGAL, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212121.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212121

Crossref DOI: http://doi.one/10.1729/Journal.32381

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details