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Validation Study

| Published: February 28, 2017

Validation of Academic Delay of Gratification Scale among Indian Professional Courses Students

Rajib Chakraborty

Asst. Professor, Ghulam Ahmed College of Education, Banjara Hills, Osmania University, Telangana, India Google Scholar More about the auther

DIP: 18.01.117/20170402

DOI: 10.25215/0402.117

ABSTRACT

The present study is an attempt to conduct factor analysis of the Academic Delay of Gratification Scale (ADOGS) for college students, with 10 items, prepared by Bembenutty and Karabenick (1998), on Indian professional courses students. 461 students (256 boys and 205 girls) from engineering, pharmacy, law and education professional courses of Sultan Ul Uloom Education Society, Hyderabad, voluntarily participated in the study, out of which 336 students (190 boys and 146 girls) were part of exploratory factor analysis. With the help of SPSS Statistics Ver.23, Principal Axis Factor extraction method and Varimax rotation, two factors were extracted. Monte Carlo PCA Parallel Analysis was used to settle for one factor explaining 16% variance. The reliability of the instrument using Cronbach’s Alpha was found to be 0.715. SPSS Amos Ver. 23 was used to confirm the factor structure and establish within-network construct validity of the instrument using Fit index tests like Chi test p value, DF, CMIN/DF, TLI, CFI, IFI, NFI,RMR and RMSEA from the data of 125 students (66 boys and 59 girls), followed by between network validity based on construct validation approach using Pearson’s product moment correlation the data of 136 students (100 boys and 36 girls) measuring their academic delay of gratification and emotional intelligence. There were sufficient evidences to establish that this instrument in its present form can be administered on Indian urban students for the measurement of academic delay of gratification.

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Rajib Chakraborty @ rajibchakraborty07@gmail.com

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ISSN 2348-5396

ISSN 2349-3429

18.01.117/20170402

10.25215/0402.117

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Published in   Volume 04, Issue 2, January-March, 2017