Manuscript Title:

DEVELOPMENT AND VALIDATION OF SOCIAL SUPPORT SCALE

Author:

Dr. ZAKIA BANO, Maryam Awan, Dr. MUEEN ABID*, MARYAM RIAZ

DOI Number:

DOI:10.5281/zenodo.10390815

Published : 2023-12-10

About the author(s)

1. Dr. ZAKIA BANO - Associate Professor, National University of Medical Sciences (NUMS), Rawalpindi.
2. Maryam Awan - University of Gujrat, Pakistan.
3. Dr. MUEEN ABID - Corresponding Author, National University of Medical Sciences (NUMS), Rawalpindi.
4. MARYAM RIAZ - University of Gujrat, Pakistan.

Full Text : PDF

Abstract

Objective: The current study designates for the development of indigenous scale for social support in Urdu language and established psychometric properties of new develop scale. Study Design: Place and duration of study: Department of Psychology, University of Gujrat, from march 2020 to September 2020. Methodology: Item pool was generating by the help of experts, prior work and from individual’s experience etc. 170 items were confirmed as the primary item pool. In the expert meeting response options were also settled. 4-point Likert scale was confirmed and range was 1 to 4. Later the assessment of professionals 7 items was eliminated and 6 were improved. For the pilot study 157 items were left behind. Sample of 450 (n=450) adult participants were selected from different areas of Pakistan including Kharian, Gujrat, Islamabad, Karachi and Lahore for administration of scale. For the selection of adult participants simple random sampling technique was used. For data scrutiny the EFA (exploratory factor analysis), confirmatory factor analysis (CFA) and reliability analysis were implied. Results: The significance of the model is displayed as value of p<.001. After the procedure and established of reliability and significance of items the 16 items were remaining for final scale. Conclusion: A scale to measure social support among people in Urdu language is completely established which have 16 items.


Keywords

Social Support, Development, Exploratory Factor Analysis, Confirmatory Factor Analysis, Reliability.