scholarly journals The role of perceived parental attitudes and self-esteem in predicting secondary school students’ depression

2018 ◽  
Vol 13 (3) ◽  
pp. 299-309
Author(s):  
Evren Ersoy
Keyword(s):  
Regression Analysis ◽  
Correlation Coefficient ◽  
Significant Relationship ◽  
Stepwise Regression ◽  
Parental Attitudes ◽  
Depression Scale ◽  
Self Esteem ◽  
Stepwise Regression Analysis ◽  
Parental Attitude ◽  
School Students

Aim is to determine the extent to which self-esteem and parental attitude perceptions of adolescents predict depression. This is a quantitative research design and the relational screening model was conducted throughout the study. ‘Depression Scale’, ‘Parental Attitude Scale’ and ‘Self-Esteem Scale’ were utilised in the study. The study was conducted on a total of 526 students of whom 276 were female and 249 were male studying in nine different secondary schools in Istanbul during the 2012–2013 academic period. Product-moment correlation coefficient and Stepwise regression analysis were utilised in analysing the data. According to the Product-moment correlation coefficient analysis, a negative significant relationship was detected between depression and democratic attitude sub-dimension of parental attitudes; and a positive significant relationship was detected between depression and authoritarian attitude and protective or willing attitude. Also, a negative significant relationship was detected between depression and self-esteem. Stepwise regression analysis indicated that democratic attitude and self-esteem variables were significant in explaining depression. Keywords: Depression, perceived parental attitudes, self-esteem, adolescence

scholarly journals Socio-Ecological Foundation of Marketable Surplus Generation in Agriculture: The Complexity and Compliances

2020 ◽  
pp. 11-18
Author(s):  
Debraj Roy ◽  
S. K. Achaya ◽  
Arindam Ghosh ◽  
Debashis Mazumder ◽  
Swagata Ghoshal ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Coefficient ◽  
Stepwise Regression ◽  
Positive Relationship ◽  
Electricity Consumption ◽  
Stepwise Regression Analysis ◽  
Managerial Skills ◽  
Independent Variables ◽  
Market Interaction ◽  
Other Information

The study was conducted on Rice and Poultry entrepreneurs in Memari-1 block, Purba Barddhaman district of West Bengal, India. This has been conducted to assess their socio-personal, agro-economical and techno-managerial skills. Several entrepreneurial aspects are considered in this study to portrait a well discernible picture of their entrepreneurship. The acquired data and other information was critically examined with several statistical tools like range, mean, standard deviation, variance, correlation coefficient, stepwise regression analysis, multiple regression analysis, factor analysis and cluster analysis. Total 18 variables were considered for the study in which 15 of them are independent variables and 3 of them dependent variables. Correlation coefficient is significant for the independent variables in case of one dependent variable i.e. produce marketed (y3). After performing Stepwise Regression analysis several satisfactory conclusions were drawn for the study which well described the current neo agricultural scenario in rural Bengal. It has been recorded that when the economic land is more, then the marketed surplus becomes lower as because small holdings entrepreneurs concentrate more in the production phase. Marketed surplus has a positive relationship with the Education level. It has been recorded that Marketed surplus has a positive relationship with electricity consumption also. Having a higher marketed surplus indicate more advancement and betterment in terms of entrepreneurial management and thus fuel use efficiency becomes more prominent and fuel consumption is reduced. It has been recorded that when the innovation proneness and market interaction is higher for the respondents, the marketed surplus is also higher.

Effects of a Ubiquitous Mentoring Program on Self-Esteem, School Adaptation, and Perceived Parental Attitude

2015 ◽  
Vol 43 (7) ◽  
pp. 1193-1208 ◽  
Author(s):  
Kyunghee Lee ◽  
Mi Jung Kim ◽  
Tae Hee Park ◽  
Ivy Lynne Alcazar-Bejerano
Keyword(s):  
Low Socioeconomic Status ◽  
Parental Attitudes ◽  
Self Esteem ◽  
Child Rearing ◽  
Rapid Decline ◽  
Mentoring Program ◽  
Parental Attitude ◽  
School Students ◽  
School Adaptation ◽  
The Impact

We examined the impact of a ubiquitous mentoring program on self-esteem, school adaptation flexibility, and perception of parental attitude toward child rearing of elementary students from low socioeconomic status families. We selected 23 elementary-school students whom we had identified as high-risk and each student was paired with a trained mentor for 20 sessions of a mentoring program. Ubiquitous mentoring significantly changed the students' perception of parental attitudes about child rearing and their perception of parents using democratic and authoritative styles of parenting had increased after 20 weeks of mentoring. Social self-esteem rapidly declined from baseline to the 20th week and an increase in family self-esteem was noted on the 20th week of the program. A rapid decline in school adaptation flexibility was noted from baseline to the end of the mentoring program. The data indicate that a ubiquitous mentoring program can serve as a support system for vulnerable children. We found that outcomes were greatly influenced by the length and quality of the mentoring and these factors should be considered as topics for future study.

scholarly journals Determinants of In-Hospital Mortality in Elderly Patients Aged 80 Years or above with Acute Heart Failure: A Retrospective Cohort Study at a Single Rural Hospital

2021 ◽  
Vol 10 (7) ◽  
pp. 1468
Author(s):  
Yusuke Watanabe ◽  
Kazuko Tajiri ◽  
Hiroyuki Nagata ◽  
Masayuki Kojima
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Hospital Mortality ◽  
Acute Heart Failure ◽  
Stepwise Regression ◽  
Stepwise Regression Analysis ◽  
Antibiotic Administration ◽  
Very Elderly ◽  
Survivor Group

Heart failure is one of the leading causes of mortality worldwide. Several predictive risk scores and factors associated with in-hospital mortality have been reported for acute heart failure. However, only a few studies have examined the predictors in elderly patients. This study investigated determinants of in-hospital mortality in elderly patients with acute heart failure, aged 80 years or above, by evaluating the serum sodium, blood urea nitrogen, age and serum albumin, systolic blood pressure and natriuretic peptide levels (SOB-ASAP) score. We reviewed the medical records of 106 consecutive patients retrospectively and classified them into the survivor group (n = 83) and the non-survivor group (n = 23) based on the in-hospital mortality. Patient characteristics at admission and during hospitalization were compared between the two groups. Multivariate stepwise regression analysis was used to evaluate the in-hospital mortality. The SOB-ASAP score was significantly better in the survivor group than in the non-survivor group. Multivariate stepwise regression analysis revealed that a poor SOB-ASAP score, oral phosphodiesterase 3 inhibitor use, and requirement of early intravenous antibiotic administration were associated with in-hospital mortality in very elderly patients with acute heart failure. Severe clinical status might predict outcomes in very elderly patients.

scholarly journals Determination of individual teleroentgenographic characteristics of the face profile in ukrainian young men and girls with orthognathic bite

2018 ◽  
pp. 28-34
Author(s):  
М. О. Dmitriev
Keyword(s):  
Regression Analysis ◽  
Soft Tissue ◽  
Young Women ◽  
Stepwise Regression ◽  
Young Men ◽  
Stepwise Regression Analysis ◽  
Regression Equations ◽  
Determination Coefficient ◽  
Normal Occlusion

Modern dentistry requires the definition of individualized values of teleroentgenographic indicators. To solve such problems, methods of regression and correlation analysis are increasingly used, which help to establish not only the existence of various relationships between the anatomical structures of the head and the parameters of the dento-jaw system, but also allow more accurately predict the change in the contour of soft facial tissue in response to orthodontic treatment. The purpose of the study is to develop mathematical models for the determination of individual teleroentgenographic characteristics of the facial soft tissues by studying the cephalometric indices of young men and women of Ukraine with normal occlusion and balanced faces and conducting a direct stepwise regression analysis. With the use of Veraviewepocs 3D device, Morita (Japan) from 38 young men (17 to 21 years of age) and 55 young women (aged from 16 to 20 years) with occlusal close to the orthognathic bite and balanced faces received side teleroentgenograms. The cephalometric analysis was performed using OnyxCeph³™ licensed software. Cephalometric points and measurements were made according to the recommendations of Downs W. B., Holdway R. A., McNamara J., Schwarz A. M., Schmuth G. P. F., Steiner C. C. and Tweed C. H. With the help of direct stepwise regression analysis, in the licensed package “Statistica 6.0”, regression models of individual teleroentgenographic characteristics of the profile of soft facial tissues were constructed. In young men with normal occlusion close to the orthognathic bite of 19 possible models, 11 were constructed with a determination coefficient from 0.638 to 0.930, and in young women – 12 models with a determination coefficient from 0.541 to 0.927. The conducted analysis of models showed that in young men most often the regression equations included – angle N_POG, parameters of which indicate a linear interjaw relation in the anterior-posterior direction (14.0%); angle GL_SNPOG, or index of convexity of the soft tissue profile (8.8%); MAX maxillary length (7.0%), and GL_SN_S index, which defines vertical correlations in the facial profile (5.3%). The young women most often models included – the angle N_POG (12.5%); angle GL_SNPOG (7.5%); soft tissue front angle P_OR_N (6.25%); the reference angle ML_NL and the profile angle T (by 5.0%); the angle AB_NPOG, the angle NBA_PTGN, which defines the direction of development of the mandible and the distance PN_A (3.75%). Thus, in the work with the help of the method of stepwise regression with inclusion, among Ukrainians of adolescence age, based on the characteristics of teleroentgenographic indicators, reliable models of individual teleroentgenographic characteristics of the profile of soft facial tissues were developed and analyzed.

Research on Related Problems of PM2.5 in Air

2014 ◽  
Vol 644-650 ◽  
pp. 5319-5324
Author(s):  
Tian Jiu Leng
Keyword(s):  
Regression Analysis ◽  
Boundary Conditions ◽  
Regression Model ◽  
Multiple Regression ◽  
Stepwise Regression ◽  
Multiple Regression Model ◽  
Stepwise Regression Analysis ◽  
Spatial Evolution ◽  
Analysis Method ◽  
Relevant Factors

In this paper, the relevant factors of PM2.5 and the degree of correlation between them were analyzed.The multiple regression model was established using stepwise regression analysis method and the temporal spatial evolution of PM2.5 was obtained by setting the initial and boundary conditions.

Stepwise regression analysis to study male and female factors impacting on pregnancy rate in an intrauterine insemination programme

Andrologia ◽  
2001 ◽  
Vol 33 (3) ◽  
pp. 135-141 ◽  
Author(s):  
M. Montanaro Gauci ◽  
T. F. Kruger ◽  
K. Coetzee ◽  
K. Smith ◽  
J. P. Van Der Merwe ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Pregnancy Rate ◽  
Stepwise Regression ◽  
Intrauterine Insemination ◽  
Stepwise Regression Analysis ◽  
Male And Female

Ratings of Rice Leaf Blast Disease Based on Image Processing and Stepwise Regression

2019 ◽  
Vol 35 (6) ◽  
pp. 1037-1043
Author(s):  
Maohua Xiao ◽  
Ziang Deng ◽  
You Ma ◽  
Shishuang Hou ◽  
sanqin Zhao
Keyword(s):  
Image Processing ◽  
Regression Analysis ◽  
Rice Blast ◽  
Stepwise Regression ◽  
Objective Assessment ◽  
Texture Features ◽  
Stepwise Regression Analysis ◽  
Blast Disease ◽  
Leaf Blast ◽  
Variance Method

Abstract. Multi-feature fusion of morphology and texture featuresStepwise regression analysis to distinguish disease areas from natural brown areasCalculate the ratio of the total area of the diseased area to the area of the leaf area to obtain the disease level Abstract. In this research, an evaluation method involving digital image processing and stepwise regression was studied to establish an efficient and accurate rating system for studying rice blast disease. For this purpose, the R-G image was segmented by using maximum interclass variance method in which the lesion and naturally withered region was extracted from the leaves. Then, 240 lesion areas and 240 natural yellow areas were selected as samples. During the experiment, ten morphological features and five texture features were extracted. Subsequently, for lesion identification, stepwise regression analysis, SVM and BP neural network were used. In the results, regression analysis of naturally yellow areas showed the highest accuracy in lesion identification, reaching 93.33% for disaster-level assessment of identified lesion areas. On the basis of the results, it is evident that 153 samples were correctly classified into divisions of 160 tested different rice blast leaves, with 95.63% classification accuracy. This study has introduced a new method for objective assessment of leaf blast disease. Keywords: Disease classification, Lesion identification, Maximum interclass variance method, Rice blast, Stepwise regression.

Organizational Factors as Predictors of Teachers' Burnout

2001 ◽  
Vol 88 (3) ◽  
pp. 627-634 ◽  
Author(s):  
Athanasios Koustelios
Keyword(s):  
Regression Analysis ◽  
Role Conflict ◽  
Emotional Exhaustion ◽  
Role Ambiguity ◽  
Stepwise Regression ◽  
Maslach Burnout Inventory ◽  
Organizational Factors ◽  
Stepwise Regression Analysis ◽  
Personal Accomplishment ◽  
Highly Correlated

The purpose of this study was to examine the burnout experienced by a sample of Greek teachers and to explore the extent to which certain organizational factors predict teachers' scores on the Maslach Burnout Inventory. The sample consisted of 100 teachers, 28 to 59 years of age. Greek teachers' means were lower than those for burnout of U.S. teachers. Stepwise regression analysis identified satisfaction with the job itself was the only significant predictor for Depersonalization and Emotional Exhaustion subscales, while satisfaction with the job itself and satisfaction with promotion were significant predictors for the Personal Accomplishment subscale. These findings showed that stress, e.g., role conflict and role ambiguity, were not highly correlated with teachers' burnout.

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