scholarly journals Influencing Factors of Social Anxiety and Emotional Maturity among Adolescents

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Dr. S Gayatridevi ◽  
Ms. Anu Vincent

The current study deals with the emotional maturity and social anxiety among adolescents. One hundred and seventy subjects (Boys = 90, Girls = 80) from GRD College of Arts and Science, Coimbatore, were selected for the study. The Psychological Tests such as Case Study Schedule (Gayatridevi and Anu), Emotional Maturity Scale (Hemalatha) and Liebowitz Social Anxiety Scale (Michael R. Liebowitz) were administered to the subjects. The data was analyzed by using SPSS + PC package for t –test was computed. The results revealed that adolescent girls experienced more social anxiety than boys (M = 66.46). Gender and family size had no significant effect on emotional maturity. There was no significant relationship found between the emotional maturity and social anxiety.

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Lynn D. Mackie ◽  
Graham J. Passmore ◽  
Rebecca Wemyss

This case study takes an approach to the assessment and formulation of social anxiety that makes use of Identity Structure Analysis (Weinreich, 2003) alongside ratings obtained from the Liebowitz Social Anxiety Scale. Identity Structure Analysis uses a socio-developmental psychological approach to identity formation that places emphasis on biographical development in socio-historical settings. In doing so it offers insights into the nature of social anxiety. More particularly, ISA reveals (at various biographical stages) construals of identities of self and of the identities of influential others in various life domains (social, home, and work). It is proposed that ISA findings offer insights that might be used alongside conventional psychometrics serving as an aid to the assessment and formulation of social anxiety for the purposes of augmented CBT.


2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Nilosmita Banerjee

Socializing in today’s world is considered as one of the most important things. With the growing concept of social media and many other such aspects, socialization has now gained an even more predominant status. This phenomenon is of most importance among the younger generation, especially the adolescents. This study focuses on the concept of social phobia, also commonly known as social anxiety, among adolescents. This study tries to explore the prevalence of social phobia amongst the adolescent girls belonging to different types of institutions which include a co-ed college and a girls college. The samples for the study were in the age range of 15-17 years, 30 samples from each college. They belonged to eleventh grade. The other variable which was different was that the samples who belonged from the co-ed college belonged to the arts stream, and the samples from the girls college were from the science stream. The Liebowitz Social Anxiety Scale for Children and Adolescents (1987;Micheal Liebowitz) was administered on the students to measure the social anxiety, and they were given five open-ended questions which asked them, what would they do in certain social situations and what measures they would take to resolve them if they have any problem in the situations mentioned. The results showed an interesting aspect in respect to the prevalence of social anxiety among adolescent samples belonging to the different set ups of college. There was a difference of 13.34% in the prevalence of the social anxiety levels among the students. The samples from the co-ed college fell in the category of the 13.34%, wherein they showed levels of social anxiety as compared to the social anxiety levels of the samples in the girls’ college. It was also interesting to notice the differences and similarities in the responses the students from the two types of institutions provided. The study focuses on understanding whether the levels of social phobia or anxiety differ among the same gender of females in differing contexts, such as the nature of the institution or the type of stream they choose to study.


2008 ◽  
Author(s):  
Kathleen A. Moore ◽  
April N. Johnson

2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Happy Ikmal

Teaching and learning activities is a conscious activity and aims. Therefore, for these activities can be run well and achieve the expected goals, it must be done with the strategy or the right learning approach .. The purpose of this study were: 1) to describe the influence of Self-Concept on the results of studying chemistry at Class XI MA Pacet Mojokerto. 2) Describe the effect of self-efficacy on Learning outcomes chemistry in Class XI MA Pacet Mojokerto 3) Describe the effect of motivation on Learning outcomes chemistry in Class XI MA Pacet Mojokerto 4) Describe the relationship Self-concept, self-efficacy and motivation to Results studied chemistry at Class XI MA Pacet Mojokerto. From the results of the analysis can be summarized as follows: 1) There is a significant relationship between self-concept of the Learning outcomes chemistry inquiry model. T test against self-concept variables (X1) obtained regression coefficient (B) 0.440 (44.0%), coefficient (Beta) 0.091, tcount of 0.378 with significance 0.006 t. Because of the significance of t less than 5% (0.007 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) is received. 2) There is a significant relationship between self-efficacy toward chemistry Learning outcomes inquiry model. T test for Self-efficacy variable (X2) obtained regression coefficient (B) 0.329 (32.9%), coefficient (Beta) 0.124, tcount of 0.436 with a significance of 0.009 t. Because of the significance of t less than 5% (0.008 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) is received. 3) There is a significant relationship between motivation to learn chemistry results inquiry model. T test for motivation variable (X3) obtained regression coefficient (B) 0.130 (13.0%), coefficient (Beta) 0.065, tcount of 0.230 with a significance of 0.001 t. Because of the significance of t less than 5% (0.001 <0.05), the Nil Hypothesis (H0) is rejected and working hypothesis (Hi) received 4) From the calculation results obtained Fhitung value 2,249 (significance F = 0.001). So Fhitung> F table (2,249> 2:03) or Sig F <5% (0.001 <0.05). It means that together independent variables consisting of variable self-concept (X1), Self-efficacy (X2), motivation (X3) simultaneously to variable results of studying chemistry (Y).


2012 ◽  
Vol 2 (5) ◽  
pp. 597-600 ◽  
Author(s):  
D. T. Deshmukh D. T. Deshmukh ◽  
◽  
H. S. Lunge H. S. Lunge

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