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Predictors of Early Adolescent Girls’ Achievement Motivation

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The present research was an exploratory research to study the predictors of achievement motivation of early adolescent girls- socio-economic status, intelligence and academic achievement. The sample of this research work consists of 132 girls studying in secondary schools of Pune City, Maharashtra. Projective test of achievement motivation by Deo-Mohan (1986) was used to measure achievement motivation. To assess economic, educational and social status of the family, Socio-economic scale was used, developed by Dubey and Nigam (2005). Raven’s (1960) Standard Progressive Matrices (SPM) was used measuring IQ. However, academic achievement of the students was determined on the basis of school mark percentages. Pearson’s correlation coefficients and stepwise multiple regression was done to investigate the best pattern of variables for predicting achievement motivation. Data analysis revealed that achievement motivation of students was significantly correlated with academic achievement. No significant correlation was found between scores of achievement motivation, intelligence and socio-economic status. Results of multiple regression revealed that academic achievement was significant predictor of achievement motivation.
Title: Predictors of Early Adolescent Girls’ Achievement Motivation
Description:
The present research was an exploratory research to study the predictors of achievement motivation of early adolescent girls- socio-economic status, intelligence and academic achievement.
The sample of this research work consists of 132 girls studying in secondary schools of Pune City, Maharashtra.
Projective test of achievement motivation by Deo-Mohan (1986) was used to measure achievement motivation.
To assess economic, educational and social status of the family, Socio-economic scale was used, developed by Dubey and Nigam (2005).
Raven’s (1960) Standard Progressive Matrices (SPM) was used measuring IQ.
However, academic achievement of the students was determined on the basis of school mark percentages.
Pearson’s correlation coefficients and stepwise multiple regression was done to investigate the best pattern of variables for predicting achievement motivation.
Data analysis revealed that achievement motivation of students was significantly correlated with academic achievement.
No significant correlation was found between scores of achievement motivation, intelligence and socio-economic status.
Results of multiple regression revealed that academic achievement was significant predictor of achievement motivation.

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