scholarly journals Mental Health among Married Men and Women

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Vikas K. Rohit

Aim of the study is to find out the mental health among married men and women so investigator selected two groups one is low age of married men and women and other is high age of men and women, both groups have 30 respondents. In one group has 19 low age of married men and women and other one groups has 11 high age of married men and women. Data were collected from anand city. Scale was use for data collection is personal datasheet and mental health scale developed by bhatt and geeda (1992) and data were analysis through ‘t’ test. Result show, There is no significant mean difference of mental health between low and high age of married men and women. There is no significant mean difference of the mental health of joint and nuclear family of married men and women.

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Sunil S. Jadav

Aim of the research is to find out the Psychological adjustment among joint and nuclear families people willing to take divorce, both groups have 160 peoples. In one group has 90 joint and another group has 70 nuclear families people. The all subjects were simple randomly selected. Data were collected from Anand district. Scale was use for data collection is personal datasheet and Psychological adjustment Scale was developed by Bell (1905) and Gujarati-translated by Bhatt, (1994) was used. Data were analysis by ‘t’ test. Result show, There is no significant mean difference of psychological adjustment between joint and nuclear families people. There is no significant mean difference of the Psychological adjustment between low and high age people. There is no significant mean difference of the Psychological adjustment between low, medium and high total monthly incomes people.


2014 ◽  
Vol 1 (3) ◽  
Author(s):  
Alpesh B. Kotar

The main purpose of this research was to find out the main difference between married and unmarried women’s mental health. The total sample consists of 60 women (30 married and 30 unmarried women). Sample was taken from Bhavnagar city. Scale was use for data collection is mental health scale by Dr. A. K. Shreevastav and Dr. Jagdish (1983). Data was analyzed by ‘t’ test. Result show, there is significant difference between the married and unmarried women.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Ramesh O. Prajapati

Aim of the research is to find out the Work value among married and unmarried person’s. So investigator selected two groups one is married and other is unmarried persons, both groups have 200 persons. In one group has 113 married and other one groups has 87 unmarried persons. The all subjects were randomly selected. Data were collected from Ahmadabad district. Scale was use for data collection is personal datasheet and Work value scale developed by super (1970) and this scale was translated into Gujarati by Jalawadiya (2002), and data were analysis by ‘t’ test. Result show, There is no significant mean difference of Work value between married and unmarried persons. There is no significant difference of the Work value of joint and nuclear families. The high income persons work value is better than the low incomes.


2014 ◽  
Vol 1 (4) ◽  
Author(s):  
Ms. Hiral Y. Suthar

The present investigation was undertaken to find the impact of emotional competence of adolescents of joint and nuclear family from urban and rural area. The emotional competence scale was administered on 80 adolescents of Vadodara district. Scale was use for data collection is personal datasheet and Emotional competence scale developed by Dr. Sharma H.C and Dr. Bhardwaj R.L (2007). Data were analysis by ‘t’ test. Result show, There is difference found on Emotional competence among adolescent’s joint and nuclear family. There is no significant difference in emotional competence of boys and girls. There is no significant difference in emotional competence adolescents of urban and rural area. Adolescents of joint family have better Emotional competence than adolescents of nuclear family. Girls have better emotional competence than boys.


2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Mr. Hardik Patel

Present research has done to know the effect of rural and urban people on helplessness. For this total number of sample was 240 sample was selected from anand district. For the data collection Helplessness scale by G P Mathur and Raj Kumari Bhatnagar was used. Data was analysis and concluded result by „t‟ test. Result show, There is no significant difference between rural and urban people on helplessness.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Sunil S. Jadav ◽  
Dr. Pankaj S. Suvera

Aim of the research is to find out the Psychological Well being among educated unemployed peoples so investigator selected two groups one is Hindu and other is Muslim educated unemployed people, both groups have 200 peoples. In one group has 135 Hindu and other one groups has 65 Muslim educated unemployed people. The all subjects were randomly selected. Data were collected from Banaskantha district. Scale was use for data collection is personal datasheet and Psychological Well being scale developed by Bhogale and Prakash (1995), and data were analysis by ‘t’ test. Result show, There is no significant mean difference between the Psychological well-being of Hindu and Muslim educated unemployed people. There is no significant mean difference between the Psychological well- being of law and middle income families educated unemployed people. There is no significant mean difference between the Psychological well-being of middle and high income families educated unemployed people. There is no significant mean difference between the Psychological well being of law and high income families educated unemployed people. There is no significant mean difference between the Psychological well-being of joint and nuclear families educated unemployed people.


2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Kiran Vaghela

Aim of the research is to find out the Psychological Well-being among School teachers. So investigator selected two groups one is government school teachers  and other is  non government school teachers, both groups have 400 persons. In one group has 200 and other one groups has 200 persons. The all subjects were randomly selected. Data were collected from Ahmadabad district. Scale was use for data collection is personal datasheet and Psychological Well-being scale developed by Bhogale and Prakash (1995), and data were analysis by “f” test. Result show, There is no significant difference between the psychological well-being of government and non government school teachers. There is no significant difference between the psychological well-being of male and female and urban and rural area.


2020 ◽  
Vol 6 (11) ◽  
pp. 2158
Author(s):  
Yunita Rahmania Herviyani ◽  
Dian Filianti

To evaluate Islamic Bank for business continuity is usually measured by the Risk-Based Bank Rating (RBBR), But Islamic Bank as Islamic Business entities also need to be measured in terms of the Islamicity Performance. This study aims to analyze the comparison of Risk-Based bank Rating and Islamicity Performance of 11 Indonesian Islamic Banks and 11 Malaysian Islamic Banks. The Data collection in this research was done by collecting all the annual reports of Banks that has been created as sample over the period 2013-2018. The test result of the independent Samples T-test and Mann-Whitney Test show that there were no differences of Islamic Banks in Indonesia and Malaysia as seen from the aspect of FDR, ROA, CAR, and ZPR. While there were differences of Banks Health level and Islamicity Performance as seen from Earning (ROE) and Zakat Performance (ZPR) aspects.Keywords: Bank Helath Level, Risk-Based Bank Rating, Islamicity Performance, Syariah Banking


2017 ◽  
Vol 5 (2) ◽  
pp. 38
Author(s):  
Ida Bagus Bajing Agastya ◽  
I Ketut Junitha ◽  
Ni Nyoman Wirasiti

ABSTACTResearch was conducted to determine the patterns of Brahmana Shiva fingerprint in Bali. The fingerprint samplesas many as 240 people, which consist of 120 men and 120 women from four generation of Brahmana Shiva in Bali. Thefingerprints were collected using a fingerprint pad then the data were analyzed using Chi–Square test, Student-t test,Dankmerijer index and Furuhata index. The result of fingerprints examination shown that there were four fingerprintspattern i.e. arch (A), loop ulnar (LU), loop radial (LR), and whorl (W) from four sub clan (Brahmana Manuaba, Kemenuh,Keniten, Mas), with different frequencies and anequal distribution from each fingers and both hands. The arch (A) patternin clan Brahmana Manuaba and Kemenuh have the same 0.83 % frequencies, while the frequencies of Keniten 1.17 % andMas 1.67 %. The frequencies of Loop ulnar (LU) pattern from clan Brahmana Mas were 42.66 %, Manuaba 36 %, Keniten39 %, and Kemenuh 34.33 %. The frequency of loop radial (LR) pattern from clan Brahmana Manuaba were 42.17 %,Keniten 41.83 %, Mas 37.83 %, and Kemenuh 29.51 %. The frequencies of whorl (W) pattern from sub clan BrahmanaKemenuh, Manuaba, Keniten, and Mas were 35.33 %, 22 %, 18 %, and 17.83 %, respectively. The result show asignificant differences between sub clan Mas and Kemenuh using Dankmerijer Index (DI). The result show a significantdifferences between sub clan Kemenuh with Mas, Keniten and Manuaba using Furuhata Index (FI). Total Ridge Countbetween men and women of Brahmana Shiva offspring showed unsignificantly diferences at level 5%. However, there wasa significant difference of Total Ridge Count from sub clan Manuaba with Mas, Kemenuh, and Keniten.Keywords : fingerprints, arch, loop, whorl, clan brahmana shiva.


2017 ◽  
Vol 2 (2) ◽  
pp. 152-155
Author(s):  
Muhammad Rheza Ramadhan ◽  
Satria Agus Frandyanto ◽  
Riko Riandoko

This research finds the effect of thin capitalization rule implementation to company leverage in Indonesia. This study used leverage data in 2015 (before the implementation) and 2016 (after the implementation). The data was processed using paired sample t-test. Based on hand-collected sample of 69 publicity- listed indonesian firms for the 2015 and 2016 year, our paired sample t-test result, descriptive statistic, and correlation test result show that thin capitalization rule can reduce company leverage by 73,8%. Keywords: thin capitalization, tax avoidance, tax aggressiveness, transfer pricing, leverage


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