scholarly journals MENTAL HEALTH AND OCCUPATIONAL IDENTITY OF 1ST YEAR AGRONOMY STUDENTS IN LITHUANIA

2015 ◽  
Author(s):  
Dovilė JONUŠIENĖ ◽  
Kristina KOVALČIKIENĖ
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Correlation Analysis ◽  
Clustering Analysis ◽  
Identity Status ◽  
Occupational Identity ◽  
First Year ◽  
Identity Statuses ◽  
And Cluster Analysis ◽  
The Relationship

This study investigated the relationship between students’ occupational identity statuses and their mental health. A correlation analysis and cluster analysis were performed with a sample of 167 first-year agronomy students in Lithuania. It was expected that a higher statuses of occupational identity will be related to better mental health. Expectations have been fulfilled only for achievement status, indicating that achievement (the highest identity status) is positively related with general and all components of mental health. Moreover, foreclosure identity status also was positively related with general and three components of mental health. In addition, the results indicated that diffusion identity status was negatively related with real evaluation of subjectively perceived mental health. Clustering analysis proposed two profiles: first of students with better mental health and higher achievement and foreclosure statuses, and second cluster for students with poorer mental health and higher diffusion and higher moratorium statuses. Implications of these findings for university counsellors and for faculty are presented.

scholarly journals Undergraduate Omani Students’ Identity and Perceptions of Parenting Styles

2016 ◽  
Vol 8 (2) ◽  
pp. 114 ◽  
Author(s):  
Said Aldhafri ◽  
Ibrahim Al-Harthy
Keyword(s):  
Undergraduate Students ◽  
Parenting Styles ◽  
Academic Identity ◽  
Identity Status ◽  
Future Research ◽  
Validity And Reliability ◽  
Identity Statuses ◽  
Reasonable Evidence ◽  
Explained Variance ◽  
The Relationship

<p>The current study examined the relationship between university students’ academic identity and their perceptions of their parents’ parenting styles among a sample of Omani students. Marcia’s (1993) academic identity statuses are adapted. These are moratorium, foreclosed, diffuse, and achievement. Parenting styles included authoritative, authoritarian, and permissive. The participants were 192 undergraduate students from Oman. The participants responded to Arabic versions of the Academic Identity Status (Was &amp; Isaacson, 2008) and the Parenting Authority Questionnaire (Buri, 1991). Both questionnaires showed reasonable evidence of validity and reliability. The findings show that parenting styles varied in their relationship with the four statuses of students’ academic identity. Using the three parenting styles as predictors in the regression models, the lowest percentage of explained variance among identity dimensions was found for moratorium, while the highest explained variance was found for diffusion. Implications and future research are discussed and presented by the end of the paper.</p>

Widowhood and Mental Health: Social Predictors of Mental Health Disorders Among Widows

2021 ◽  
pp. 105413732110541
Author(s):  
Brown C. Taylor ◽  
Jordan Harrold
Keyword(s):  
Mental Health ◽  
Mental Health Disorders ◽  
First Year ◽  
Mental Health Providers ◽  
Health Providers ◽  
Psychosocial Needs ◽  
Post Traumatic Stress ◽  
Social Predictors ◽  
Health Disorders ◽  
The Relationship

This study examines the relationship between three common mental health disorders—anxiety, depression, and post-traumatic stress disorder—in the first year of spousal bereavement and a myriad of social factors—including the security of health insurance and the presence of children at home—among those who have been widowed. We analyzed a novel survey of 503 widows who had participated in the Modern Widows’ Club Widows Empowerment Event. We then used logistic regression to investigate the relationship between these variables, discovering nuance between them. Our findings further elucidate the need for health and mental health providers to be attuned to the unique psychosocial needs of widows, especially among the first year of widowhood.

The development and validation of a marginalization index for inpatient psychiatry

2020 ◽  
pp. 002076402095078
Author(s):  
Sebastian Rios ◽  
Samantha B Meyer ◽  
John Hirdes ◽  
Susan Elliott ◽  
Christopher M Perlman
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Roc Curve ◽  
Convergent Validity ◽  
Curve Analysis ◽  
Assessment System ◽  
Assessment Instrument ◽  
Roc Curve Analysis ◽  
Inpatient Psychiatry ◽  
And Cluster Analysis

Background: Marginalization is a multidimensional social construct that influences the mental health status of individuals and their use of psychiatric services. However, its conceptualization and measurement are challenging due to inconsistencies in definitions, and the lack of standard data sources to measure this construct. Aims: To create an index for screening marginalization based on an existing comprehensive assessment system used in inpatient psychiatry. Method: Items anticipated to be indicative of marginalization were identified from the Resident Assessment Instrument-Mental Health (RAI-MH) that is used in all inpatient mental health beds in Ontario, Canada. Principal Component Analysis (PCA) and cluster analysis of these items was performed on a sample of 81,232 patients admitted into psychiatric care in Ontario between 1 January 2011 and 31 December 2016 to identify dimensions being measured. Various weights and scoring methods were tested to assess convergent validity on multiple outcomes of marginalization. Receiver Operating Characteristic (ROC) curve analysis was utilized to determine optimal cut-offs for the index by modeling the likelihood of different marginalization outcomes, including homelessness. Results: Fifteen items were identified for the development of the Marginalization Index (MI). PCA and cluster analysis identified that the items measured five dimensions. ROC curve analysis among homeless individuals identified an Area Under the Curve of 0.76 and an optimal cut-off of five on the MI. Frequency analysis of the index by different characteristics identified homeless individuals, frequent mental health service users, persons with a history of violence and police intervention, and persons with addictions issues, as groups with the highest scores, confirming the convergent validity of the index. Conclusion: The MI is a valid measure of marginalization and is strong predictor of risk of homelessness among psychiatric inpatients. MI provides a resource that can be used for social and health policy, decision-support and evaluation.

Family Needs in Child Neglect Cases: A Cluster Analysis

2009 ◽  
Vol 90 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Ruth M. Chambers ◽  
Cathryn C. Potter
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cluster Analysis ◽  
Child Neglect ◽  
Family Needs ◽  
Case Record ◽  
Step Down ◽  
Parental Family ◽  
And Cluster Analysis ◽  
Record Review

Whereas research has identified risk factors for neglect, there has been little attention to examining subgroups of neglecting families. The purpose of this study was to see what types of parental, family, and poverty-related needs were present in child neglect cases and to determine if coherent clusters of needs could be identified. A case record review of 160 substantiated child neglect cases from a public child welfare agency were reviewed, and cluster analysis with step-down bivariate analyses was used to determine groupings. Results revealed three distinct subgroups of family needs: low needs, substance abuse, and economic/domestic violence/mental health. The need for integration of interventions for these subgroups, and potential directions for such integration, are discussed.

The relation between personality and prejudice: a variable‐ and a person‐centred approach

2003 ◽  
Vol 17 (6) ◽  
pp. 449-464 ◽  
Author(s):  
Bo Ekehammar ◽  
Nazar Akrami
Keyword(s):  
Cluster Analysis ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Multiple Regression Analysis ◽  
Big Five ◽  
Racial Prejudice ◽  
Personality Types ◽  
Personality Factors ◽  
Big Five Personality ◽  
The Relationship

The relationship between Big Five personality (measured by the NEO‐PI) and prejudice was examined using a variable‐ and a person‐centred approach. Big Five scores were related to a generalized prejudice factor based on seven different prejudice scales (racial prejudice, sexism, etc). A correlation analysis disclosed that Openness to Experience and Agreeableness were significantly related to prejudice, and a multiple regression analysis showed that a variable‐centred approach displayed a substantial cross‐validated relationship between the five personality factors and prejudice. A cluster analysis of the Big Five profiles yielded, in line with previous research, three personality types, but this person‐centred approach showed a low cross‐validated relationship between personality and prejudice, where the overcontrolled type showed the highest prejudice and the undercontrolled the lowest, with the resilient falling in between. A head‐to‐head comparison sustained the conclusion that, based on people's Big Five personalities, their generalized prejudice could be predicted more accurately by the variable‐ than the person‐centred approach. Copyright © 2003 John Wiley & Sons, Ltd.

scholarly journals A hybrid regionalization method based on canonical correlation analysis and cluster analysis: a case study in northern Iran

2019 ◽  
Vol 50 (4) ◽  
pp. 1076-1095
Author(s):  
Ali Ahani ◽  
S. Saeid Mousavi Nadoushani ◽  
Ali Moridi
Keyword(s):  
Cluster Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Clustering Algorithm ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Northern Iran ◽  
Regional Flood Frequency Analysis ◽  
And Cluster Analysis

Abstract The performance of regionalization methods used for regional flood frequency analysis is affected considerably by the features used to identify the homogeneous regions (e.g., climatological, meteorological, geomorphological, and physiographic characteristics of the watersheds). In this study, a regionalization method is proposed that takes advantage of the two widely used techniques in regionalization of watersheds: canonical correlation analysis and cluster analysis. In the proposed method, the canonical correlation analysis is utilized to select or weight features that then will be used by a hybrid clustering algorithm for regionalization of watersheds. The proposed method is applied to Sefidrud basin, located in the north of Iran, to implement regionalization with two, three, four, and five regions. Performance assessment of the proposed method shows that all the options of the proposed method can be effective alternatives to some common regionalization methods to improve the homogeneity of the regions. The results indicate that the method can satisfy the homogeneity conditions approximately for all the regions which were identified in the study area.

scholarly journals Morphometrics of the tribe Merremieae Austin (Convolvulacae) from India

2014 ◽  
Vol 21 (2) ◽  
pp. 121-128
Author(s):  
S. A. Deshmukh ◽  
Vinod B. Shimpale
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Vital Role ◽  
Leaf Length ◽  
Petiole Length ◽  
Quantitative Characters ◽  
Plant Taxon ◽  
And Cluster Analysis ◽  
The Relationship

Sixteen species of the tribe Merremieae Austin (Convolvulaceae) from India were morphometrically analyzed with the help of Principal component analysis (PCA) and cluster analysis to explain the relationship between them. PCA showed that quantitative characters like corolla breadth, fruit breadth and length of paracot leaf play important role in bringing together all the species in the same tribe while the characters like leaf length, leaf breadth, petiole length, pedicel length, calyx length and calyx breadth play vital role in the delimitation of taxa within the tribe Merremieae. Cluster analysis and dendrogram revealed that, the genus Operculina S. Manso is segregated from Merremia Denns. ex Endlich.; genus Hewittia Wight. & Arn. is very close to Merremia, probably originated from M. aegyptia (L.) Urban and M. dissecta (Jacq.) Hall. f. cluster and genus Xenostegia Austin & Staples is isolated in the separate cluster.DOI: http://dx.doi.org/10.3329/bjpt.v21i2.21350Bangladesh J. Plant Taxon. 21(2): 121-128, 2014 (December)

scholarly journals Development of the rate of employment and unemployment of males and females in ten associated countries of EU

2004 ◽  
Vol 52 (6) ◽  
pp. 87-104
Author(s):  
Jan Klíma ◽  
Milan Palát
Keyword(s):  
Cluster Analysis ◽  
Czech Republic ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Development Trends ◽  
Total Employment ◽  
The Czech Republic ◽  
Males And Females ◽  
And Cluster Analysis

The paper is focused on the evaluation the rates of employment and unemployment of women, men and as a whole in ten associated countries of EU. Rates of employment were evaluated in the period 1996-2002. Rates of unemployment were evaluated in the period 1996-2003. Employment of males in all ten associated countries of EU is higher then employment of females. Unemployment of females in the Czech Republic, Cyprus, Malta, Poland, Slovakia and Slovenia is higher than unemployment of males and in opposite unemployment of females in Estonia, Hungary, Lithuania and Latvia is lower than unemployment of males. Trends of rates of male, female and total employment and unemployment are evaluated. Methods of regression and correlation analysis, development trends and cluster analysis were applied for the mathematical-statistical analysis.

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