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Using Multivariate Statistics

The detection of psychiatric illness by questionnaire

EDITORIAL BOARD Robert Davison Aviles, Bradley University Harley E. Baker, California State University–Channel Islands Jean-Guy Blais, Universite de Montreal, Canada Catherine Y. Chang, Georgia State University Robert C. Chope, San Francisco State University Kevin O. Cokley, University of Missouri, Columbia Patricia B. Elmore, Southern Illinois University Shawn Fitzgerald, Kent State University John J. Fremer, Educational Testing Service Vicente Ponsoda Gil, Universidad Autonoma de Madrid, Spain Jo-Ida C. Hansen, University of Minnesota Charles C. Healy, University of California at Los Angeles Robin K. Henson, University of North Texas Flaviu Adrian Hodis, Victoria University of Wellington, New Zealand Janet K. Holt, Northern Illinois University David A. Jepsen, The University of Iowa Gregory Arief D. Liem, National Institute of Education, Nanyang Technological University Wei-Cheng J. Mau, Wichita State University Larry Maucieri, Governors State College Patricia Jo McDivitt, Data Recognition Corporation Peter F. Merenda, University of Rhode Island Matthew J. Miller, University of Maryland Ralph O. Mueller, University of Hartford Jane E. Myers, The University of North Carolina at Greensboro Philip D. Parker, University of Western Sydney Ralph L. Piedmont, Loyola College in Maryland Alex L. Pieterse, University at Albany, SUNY Nicholas J. Ruiz, Winona State University James P. Sampson, Jr., Florida State University William D. Schafer, University of Maryland, College Park William E. Sedlacek, University of Maryland, College Park Marie F. Shoffner, University of Virginia Len Sperry, Florida Atlantic University Kevin Stoltz, University of Mississippi Jody L. Swartz-Kulstad, Seton Hall University Bruce Thompson, Texas A&M University Timothy R. Vansickle, Minnesota Department of Education Steve Vensel, Palm Beach Atlantic University Dan Williamson, Lindsey Wilson College F. Robert Wilson, University of Cincinnati

measurement and evaluation in counseling and Development

The United Nations Children's Fund, or UNICEF, was originally created to provide relief for children in countries devastated by the destruction of World War II. After 1950, UNICEF turned to focus on general programs for the improvement of children's welfare worldwide, and in 1965, it was awarded the Nobel Prize for Peace for its humanitarian efforts. The organization concentrates on areas in which relatively small expenditures can have a significant impact on the lives of the most disadvantaged children in developing countries, such as the prevention and treatment of disease, child healthcare, malnutrition, illiteracy, and other welfare services.

The United Nations Children's Fund

1 Introduction.- 2 The Concept of Happiness.- 2/1 The various meanings of the word happiness.- 2/2 Happiness defined.- 2/3 Components of happiness.- 2/4 Adjacent concepts.- 2/5 Synonyms of happiness.- 2/6 Summary.- 3 Can Happiness be Measured?.- 3/1 Validity problems.- 3/2 Reliability problems.- 3/3 Problems of comparison.- 3/4 Summary.- 4 Indicators of Happiness.- 4/1 Indicators of overall happiness.- 4/1.1 Direct questions.- 4/1.2 Indirect questions.- 4/1.3 Ratings by others.- 4/2 Indicators of hedonic level of affect.- 4/2.1 Direct questions.- 4/2.2 Indirect questions.- 4/2.3 Ratings by others.- 4/3 Indicators of contentment.- 4/4 Composites.- 4/5 Do the three kinds of indicators tap different phenomena?.- 4/6 Summary.- 5 Gathering the Available Data.- 5/1 Searching empirical happiness studies.- 5/2 The studies found.- 5/3 Presenting the findings.- 5/4 Limitations of the data.- 5/5 Summary.- 6 Happiness and Living Conditions.- 6/1 Happiness and society.- 6/1.1 Economic conditions.- 6/1.2 Political conditions.- 6/1.3 Peace and war.- 6/1.4 Some regional differences in happiness.- 6/2 Happiness and one's place in society.- 6/2.1 Gender.- 6/2.2 Age-differences.- 6/2.3 Minority status.- 6/2.4 Income.- 6/2.5 Education.- 6/2.6 Occupational prestige.- 6/2.7 Global social rank.- 6/3 Happiness and work.- 6/3.1 Having a job or not.- 6/3.2 Occupation.- 6/3.3 Voluntary work.- 6/4 Happiness and intimate ties.- 6/4.1 Marriage.- 6/4.2 Children.- 6/4.3 Friends and relatives.- 6/5 Summary.- 7 Happiness and Individual Characteristics.- 7/1 Happiness and personal resources.- 7/1.1 Physical health.- 7/1.2 General mental effectiveness.- 7/1.3 Specific abilities.- 7/1.4 Activity level.- 7/1.5 Richness of mental life.- 7/2 Happiness and some personality traits.- 7/2.1 Perceived fate control.- 7/2.2 Defensive strategies.- 7/2.3 Tendencies to like things.- 7/2.4 Time orientation.- 7/3 Happiness and lifestyle.- 7/4 Happiness and longings.- 7/5 Happiness and convictions.- 7/5.1 Happiness and ethical values.- 7/5.2 Religion.- 7/5.3 (Un)-conventionality of outlook.- 7/5.4 Views on happiness.- 7/6 Happiness and appreciations.- 7/6.1 Appreciation of oneself.- 7/6.2 Appreciation of other people.- 7/6.3 Appreciation of society.- 7/6.4 Appreciation of one's social position.- 7/6.5 Appreciation of one's work.- 7/6.6 Appreciation of leisure.- 7/6.7 Appreciation of one's living environment.- 7/6.8 Appreciation of one's health.- 7/6.9 Which global life-aspect-satisfactions are most closely related to happiness?.- 7/7 Summary.- 8 Antecedents of Happiness.- 8/1 Happiness and earlier living conditions.- 8/1.1 Conditions in youth.- 8/1.2 Earlier conditions in adulthood.- 8/2 Happiness and earlier personal characteristics.- 8/3 Summary.- 9 Conclusions.- 9/1 Conditions of happiness.- 9/1.1 Which correlates represent causes?.- 9/1.2 Variations in correlations.- 9/1.3 The correlates in context.- 9/1.4 Some lines for further research.- 9/2 Myths about happiness.- 9/2.1 The myth that modern western society is a sink of unhappiness.- 9/2.2 Myths about things that make for happiness in western societies.- 9/2.3 The myth that living conditions do not matter.- 9/2.4 The myth that happiness is not a significant matter.- References.- Author index.

Conditions for Happiness

Development during life-span implies to cope with stressful events, and this coping may be done with several strategies. It could be useful to know if these coping strategies differ as a consequence of personal characteristics. This work uses the Coping with Stress Questionnaire with this aim using a sample of 400 participants. Specifically, the effects of gender and age group (young people, middle age and elderly), as well as its interaction on coping strategies is studied. With regard to age, on one hand, it is hypothesised a decrement in the use of coping strategies centred in problem solving and social support seeking as age increases. On the other hand, the use of emotional coping is hypothesised to increase with age. With respect to gender, it is hypothesised a larger use of emotional coping and social support seeking within women, and a larger use of problem solving within men. A MANOVA found significant effects for the two main effects (gender and age) as well as several interactions. Separate ANOVAs allowed us to test for potential differences in each of the coping strategies measured in the CAE. These results partially supported the hypotheses. Results are discussed in relation to scientific literature on coping, age and gender.

https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1138741600001037

Coping strategies: gender differences and development throughout life span.

Objectives: The aims of this article are: (a) to test for the validity of the three constructs involved in the structural model; (b) to test for the effects of both coping strategies and resilient coping on well-being in a sample of elderly, by means of a structural model with latent variables; (c) to empirically study whether a brief scale of resilient coping could predict well-being over and above that predicted by the coping resources. Methods: The research is a survey design. The sample consisted of 225 non-institutionalized elderly people living in the city of Valencia (Spain). The three constructs measured were: well-being, resilient coping, and coping strategies. Results: The analyses consist of a series of alternative structural models with latent variables with resilience, problem-focused coping, and emotion-focused coping as the potential predictors of well-being as measured by Ryff's well-being scales. Due to parsimony reasons, the model retained is that with a single predictor of well-being: r...

Resilience and coping as predictors of general well-being in the elderly: A structural equation modeling approach

Pro-environmental behavioral patterns are influenced by relevant others’ actions and expectations. Studies about the intergenerational transmission of environmentalism have demonstrated that parent...

/pdf/normative-influences-on-adolescents-self-reported-pro-33rt1fhf6y.pdf

Normative Influences on Adolescents’ Self-Reported Pro-Environmental Behaviors: The Role of Parents and Friends:

Several investigators have interpreted method effects associated with negatively worded items in a substantive way This research extends those studies in different ways: (a) it establishes the presence of methods effects in further populations and particular scales, and (b) it examines the possible relations between a method factor associated with negatively worded items and several covariates Two samples were assessed: 592 high school students from Valencia (Spain), and 285 batterers from the same city The self-esteem scales used were Rosenberg's Self-Esteem Scale, the State Self-Esteem Scale, and Self-Esteem 17 Anxiety was also assessed with the State-Trait Anxiety Inventory, and gender and educational level were taken into account The models were conducted using a multiple indicators and multiple causes (MIMIC) model framework The evidence in this research pointed out that method effects were present across the different measures of self-esteem Moreover, a significant and negative effect of anxi

Explaining Method Effects Associated With Negatively Worded Items in Trait and State Global and Domain-Specific Self-Esteem Scales

Satisfaction with life is of particular interest in the study of old age well-being because it has arisen as an important component of old age. A considerable amount of research has been done to explain life satisfaction in the elderly, and there is growing empirical evidence on best predictors of life satisfaction. This research evaluates the predictive power of some aging process variables, on Angolan elderly people's life satisfaction, while including perceived health into the model. Data for this research come from a cross-sectional survey of elderly people living in the capital of Angola, Luanda. A total of 1003 Angolan elderly were surveyed on socio-demographic information, perceived health, active engagement, generativity, and life satisfaction. A Multiple Indicators Multiple Causes model was built to test variables’ predictive power on life satisfaction. The estimated theoretical model fitted the data well. The main predictors were those related to active engagement with others. Perceived health a...

Patricia Sancho

Papers

Coping strategies: gender differences and development throughout life span.

Resilience and coping as predictors of general well-being in the elderly: A structural equation modeling approach

Normative Influences on Adolescents’ Self-Reported Pro-Environmental Behaviors: The Role of Parents and Friends:

Explaining Method Effects Associated With Negatively Worded Items in Trait and State Global and Domain-Specific Self-Esteem Scales

Predicting life satisfaction of the Angolan elderly: a structural model.