Prek Re Eheschlie Ungen
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Regression With Dummy Variables
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Author : Melissa A. Hardy
language : en
Publisher: SAGE
Release Date : 1993-02-25
Regression With Dummy Variables written by Melissa A. Hardy and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-02-25 with Mathematics categories.
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression.
Developmental Tasks And Education
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Author :
language : en
Publisher:
Release Date : 1981
Developmental Tasks And Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.
Relationships In Adolescence
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Author : John C. Coleman
language : en
Publisher: Taylor & Francis
Release Date : 2022-12-29
Relationships In Adolescence written by John C. Coleman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Psychology categories.
Based on the study of a large number of young people ranging in age from eleven to seventeen, Relationships in Adolescence, originally published in 1974, proposes a new model of adolescent development, described as the ‘focal’ model, which makes a valuable contribution to the greater understanding of adolescence for all who have contact with this age group. The book contains an examination of three different approaches to adolescence, an outline of the research project, and a discussion of the empirical evidence concerning identity and self-image, heterosexual and parental relationships, and large group situations. Comparisons are made between age levels and between boys and girls with respect to the whole range of relationships, and the evidence illustrates significant and at times dramatic differences between groups. Of particular importance are some of the changes which occur with age, such as the degree of conflict with parents and attitudes to sexuality. Based on Dr Coleman’s findings is his fresh ‘focal’ model of adolescent development. This model stresses the elements of growth and change in adolescence, with special emphasis on the normal anxieties and conflicts that occur at different stages of the developmental period. Today it can be read and enjoyed in its historical context.
Sensitivity Analysis In Linear Regression
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Author : Samprit Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Sensitivity Analysis In Linear Regression written by Samprit Chatterjee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit.
Statistical Models For Ordinal Variables
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Author : Clifford C. Clogg
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1994-02-28
Statistical Models For Ordinal Variables written by Clifford C. Clogg and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-28 with Mathematics categories.
How should data involving response variables of many ordered categories be analyzed? What technique would be most useful in analyzing partially ordered variables regarded as dependent variables? Addressing these and other related concerns in social and survey research, Clogg and Shihadeh explore the statistical analysis of data involving dependent variables that can be coded into discrete, ordered categories, such as "agree," "uncertain," "disagree," or in other similar ways. The authors emphasize the applications of new models and methods for the analysis of ordinal variables and cover general procedures for assessing goodness-of-fit, review the independence model and the saturated model, define measures of association, demonstrate the logit versions of the model, and develop association models as well as logit-type regression models. Aimed at helping researchers formulate models that take account of the ordering of the levels of the variables, this book is appropriate for readers familiar with log-linear analysis and logit regression.
Multivariate Statistical Modelling Based On Generalized Linear Models
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Author : Ludwig Fahrmeir
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Multivariate Statistical Modelling Based On Generalized Linear Models written by Ludwig Fahrmeir and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.
Concerned with the use of generalised linear models for univariate and multivariate regression analysis, this is a detailed introductory survey of the subject, based on the analysis of real data drawn from a variety of subjects such as the biological sciences, economics, and the social sciences. Where possible, technical details and proofs are deferred to an appendix in order to provide an accessible account for non-experts. Topics covered include: models for multi-categorical responses, model checking, time series and longitudinal data, random effects models, and state-space models. Throughout, the authors have taken great pains to discuss the underlying theoretical ideas in ways that relate well to the data at hand. As a result, numerous researchers whose work relies on the use of these models will find this an invaluable account.