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The need for the study of achievement motivation is important in the current situation. At present, students are focusing more on acquiring achievement in various fields. Their main goal in life is to become proficient in various fields of life. Various studies have shown that students' academic achievement largely depends on their achievement moti...
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Context 1
... we present our descriptive data (Table 1) in the form of mean and standard deviation (SD) for achievement motivation. ...Context 2
... 't' value of boys and girls of undergraduate college students indicates that there is no significant difference existing but it is observed from the Table 1 that the level of achievement motivation of girl undergraduate students is a little high than the level of achievement motivation of boy undergraduate college students. Apart from this, there is no such kind of significant differences existing between other demographic variables. ...Similar publications
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Citations
... Pawar (2017) revealed that there was a significant difference existed among rural and urban students and general and other caste students regarding their level of achievement motivation. Ansary, Saha and Gorain (2021) showed that there was no significant difference exists between male and female undergraduate students regarding their level of achievement motivation. Roy and Saha (2022) revealed that there was no significant difference found in the achievement motivation of postgraduate level students in respect to their gender, residence and stream. ...
Achievement motivation is a psychological term that describes when individuals are driven, motivated and stipulated by success or accomplishment. The main objective of this study is to explore the relationship between achievement motivation and academic achievement of the higher secondary school students. A descriptive survey type research method was adopted by the researcher to conduct this study. A total of 381 higher secondary school students were selected as sample through the use of simple random sampling technique. 'Rao Achievement Motivation Test' was used by the researcher to collect responses from the students. The findings of this study revealed that there is a significant positive correlation exists between achievement motivation and academic achievement of the higher secondary school students and there is no significant difference exits between male and female and rural and urban students of higher secondary school regarding their achievement motivation.
This study explores the clustering patterns focusing on undergraduate students from West Bengal's Purulia District based on Internet addiction and selected demographic variables-Gender, Residence and Stream. Employing a descriptive survey approach, data were gathered from 400 students through simple random sampling. The Internet addiction test scale (Young, 1998) was utilized to identify Internet addiction levels. A two-step clustering technique was applied to identify clustering and analyse the significance of predictors. Findings reveals that both demographic and research variables contribute to cluster formation with predictor importers varying by the number of clusters. Residents emerge as the key predictor in a two-cluster model, while gender gain, significance with additional clusters. When five clusters are formed, gender remains influential and with seven or 10 clusters, the stream also plays a crucial role. Notably, the smallest cluster remains stable across different cluster configuration. These results highlight the dynamic role of demographic predictors in clustering, providing insights into the factors influencing Internet addiction among undergraduate students.
This study explored the differences in internet addiction among undergraduate students in the Purulia district of West Bengal, focusing on three key factors: residence (Rural and Urban), gender (Male and Female), and academic stream (Arts and Science). The research hypothesized no significant differences in internet addiction based on these variables. A descriptive survey method was employed, with a sample 400 undergraduate students selected through simple random sampling. The Internet Addiction Test scale by Young (1998) was used to measure internet addiction. Data were analysed using SPSS version 26.0, applying descriptive statistics (mean and standard deviation) and inferential statistics (t-test). The study concluded that internet addiction is prevalent among undergraduate students in Purulia district, but demographic and academic factors such as residence, gender, and stream did not significantly influence the levels of addiction.
Smartphone addiction has become one of the common factors for the students in all levels. The
present study aims to find out the important predictors that forms the cluster in smartphone addiction
of PG students of Purulia district of West Bengal. It is a Descriptive research following survey type
study. The population of this study comprises all the PG students studying in Purulia district of West
Bengal. A sum of 140 PG students have been identified as the sample for the study through a simple
random sampling technique. “Smartphone Addiction Scale” by Kwon et al. (2013) is applied to
collect the data. Cluster analysis technique has been applied to analyze the data in SPSS version 26.0.
The result revealed that as the number of clusters upsurges, the range of influential predictors enlarges
in complexity. Initially, with just two and three clusters, locality and stream emerge as pivotal factors.
However, in five clusters, gender has emerged as important predictors besides stream and locality. But in ten clusters, stream, smartphone addiction and locality have become major predictor of
clusters, whereas gender, overuse and cyberspace-oriented relationship become the moderate
predictors of the cluster.
Keywords: smartphone addiction, PG students, daily-life disturbances, positive anticipation,
withdrawal, cyberspace-oriented relationship, overuse, tolerance, and cluster analysis.
Smartphone addiction is a kind of addiction towards excessive use of smartphone, internet and a fear of being without a mobile phone. The present study aims to find out the difference in Smartphone Addiction of PG (postgraduate) students of Purulia district of West Bengal in regard to gender, locality and stream. It is Descriptive research following survey type study. The population of this study comprises all the PG students studying in Purulia district of West Bengal. A sum of 140 PG students have been identified as the sample for the study through a simple random sampling technique. "Smartphone Addiction Scale" by Kwon et al. (2013) is applied to collect the data. Descriptive statistics like mean, standard deviation and inferential statistics like t-test have been applied. To analyze the data, SPSS version 26.0 is used. Result revealed that no statistically significant difference is there between male/female, urban/rural, arts/commerce, & science/commerce PG students of Purulia district of West Bengal. But significant difference is found only between arts/science PG students of Purulia district of West Bengal.
The two testing in statistics are the Parametric and non-parametric techniques in inferential statistics. To define the probability distribution of variables and draw conclusions about the distribution's parameters, one uses a statistical technique known as parametric technique. Non-parametric approaches are used when the probability distribution cannot be defined. The present work deals with how the parametric test and non-parametric test can be used in educational research and the broad array of research area they produce.
One of the reasons for students’ reluctance to study and succeed in mathematics is that they may not be motivated to learn. This study examined fresh senior high school (SHS) students’ achievement motivation levels and its correlate to self-efficacy towards core mathematics. The study adopted descriptive research design involving a random sample of 314 fresh students in three SHSs in a low performing district in Ghana. The achievement motive scale and the new general self-efficacy scale were adapted and used for data collection. Data were analyzed using descriptive statistics, independent t-test, one-way analysis of variance and Spearman rank correlation. The results indicated that the students’ achievement motivation levels in dimensions of striving to achieve learning targets, participation in lessons, willingness to work and maintaining positive study habits towards mathematics were quite high. Furthermore, the students’ achievement motivation levels did not differ by gender, type of junior high school attended and boarding status. However, the students’ achievement motivation levels varied across the five programs of study. The study also found a moderately positive significant correlation between students’ achievement motivation and self-efficacy beliefs. The study concludes that the fresh students in this study are highly motivated and believe they can succeed in their study. The study recommends that mathematics teachers should guide these fresh students to set realistic short-long term learning targets to facilitate higher achievement in mathematics. Mathematics teachers should try to first gauge the achievement motivation of the fresh students for high school mathematics for appropriate pedagogical decisions.
The main objectives of this study are to find out the relationship between academic achievement and social adjustment of the higher secondary students and to explore whether students' social adjustment determine by their gender, residence and stream of study. The researcher used descriptive survey type research method to conduct this study. A total of 1009 higher secondary school students of West Bengal were selected as a sample through the use of multistage cluster sampling technique. A self standardized adjustment ability inventory has been used by the researcher to collect responses from the respondents. The findings of this study revealed that there is a significant negative correlation exists between academic achievement and social adjustment of the higher secondary school students. Others findings of this study also revealed that there is significant difference exists in social adjustment between male-female and arts-science stream higher secondary level students. But, there is no significant difference exists between rural and urban higher secondary school students regarding their social adjustment.
The main objective of this study is to find out the relationship between academic achievement and emotional adjustment among higher secondary students and to explore whether students' academic achievement determine by their emotional adjustment. The researcher used descriptive survey type research method to conduct this study. A total of 1009 higher secondary school students of West Bengal were selected as a sample through the use of multistage cluster sampling technique. A self standardized adjustment ability inventory has been used by the researcher to collect responses from the students. The finding of this study revealed that there is a significant relationship exists between emotional adjustment and academic achievement of the higher secondary school students. Others findings of this study also revealed that there is a significant differences exists in emotional adjustment between male vs. female, rural vs. urban and arts vs. science stream higher secondary school students.
The main purpose of this study is to compare the responses provided by the undergraduate students of Purulia District on their attitude towards value-oriented education. The study uses a two-step Cluster Analysis technique and a number of clusters are produced with the local of residence and gender of the students serving as a key predictor of the clusters. The impact of the predictors on cluster formation is also examined. Each cluster has a different formation in relation to the predictors. The result showed that, whenever the number of clusters is increased, the number of predictors also increases. It was also found that location becomes the most important predictor. Another finding of this study also revealed that the academic achievement and the score of attitude towards value-oriented education among undergraduate students are not correlated to each others.
