golsch katrin (13 Ergebnisse)

Hardcover. Zustand: Gut. XV, 327 S.; Ill. Good. Ex-library with usual markings. Clean pages. Sprache: Englisch Gewicht in Gramm: 755.

hardcover. Zustand: Sehr gut. 342 Seiten; 9783642329135.2 Gewicht in Gramm: 14.

Zustand: New. In.

Zustand: New.

Zustand: New. In English.

Zustand: New.

Hardcover. Zustand: gut. 2013. Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. Useful for researchers using such household panel studies as GSOEP, BHPS or PSID, this book discusses methods of managing and analyzing panel data. Supplemental data sets and syntax files are provided via the book's website Autor: Hans-Jürgen Andreß a is Full Professor in Empirical Social and Economic Research at the Faculty of Business Administration, Economics and Social Sciences at the University of Cologne. His research interests include statistics and multivariate methods; labor market research; social and family policy. Katrin Golsch is a senior researcher at the Department of Sociology at Bielefeld University, Germany. Her core interests include statistical methods for the analysis of survey data and longitudinal data analysis in particular, life-course analysis, social structure, labor market research and comparative sociological research. Alexander Schmidt is a PhD candidate at the Research Training Group SOCLIFE, funded by the Germany Science Foundation. He teaches computer assisted data analysis and survey research at the Chair of Empirical Social and Economic Research at the Faculty of Business Administration, Economics and Social Sciences at the University of Cologne. His research focuses on social mobility and comparative welfare state analysis. Content: Introduction: Benefits and challenges of the panel design.- Outline of the book.- Audience and prerequisites.- Acknowledgements.- Managing panel data: The nature of panel data.- The basics of panel data management.- Three case studies on poverty in Germany.- How to represent a population with panel data?- Conclusion and further reading.- Describing and modeling panel data: Some basic terminology.- Measurements over time are not independent.- Describing the dependent variable.- Explaining the dependent variable over time: typical explanatory variables.- Modeling panel data.- Estimating models for panel data.- Overview of subsequent chapters.- Panel analysis of continuous variables: Modeling the level of Y.- Modeling the change of Y.- Conclusion and further reading.- Panel analysis of categorical variables: Modeling the level of Y: Discrete response models for panel data.- Modeling the change of Y: Discrete-time event history models for panel data.- Conclusion and further reading.- Conclusion: How to do your own panel analysis.- A: Functions of random variables.- B: Estimation and testing: Ordinary least squares.- How to compute a regression model fitting the data?- Sampling and sampling errors.- How to choose between different estimation methods?- How to estimate the parameters of an unknown population with a sample of data?- How to test parameters of an unknown population with a sample of data?- Maximum likelihood .- C: Web site of the textbook.- Bibliography.- Index. Zusatzinfo XV, 327 p. Verlagsort Berlin Sprache englisch Maße 155 x 235 mm Mathematik Informatik Mathe Wahrscheinlichkeit Kombinatorik Sozialwissenschaften Soziologie Empirische Sozialforschung Wirtschaft Volkswirtschaftslehre Ökonometrie Event History Analysis Fixed effects regression Panel analysis of categorical data Panel Data Random effects regression ISBN-10 3-642-32913-6 / 3642329136 ISBN-13 978-3-642-32913-5 / 9783642329135 In englischer Sprache. 327 pages. 2 x 16,5 x 24,8 cm.

Taschenbuch. Zustand: Sehr gut. 23 x 32 cm illustrierter Original-Karton-Band ohne Schutzumschlag, Einband mit ganz leichten Gebrauchsspuren, sonst SEHR GUTES EXEMPLAR---Herausgegeben von Jürgen Hering, bearbeitet von Michael Golsch und Katrin Nitzschke. Für Ihre Zufriedenheit versenden wir mit DHL und ausschließlich mit Trackingcode für eine sichere Sendungsverfolgung! Weitere Angebote unter antiquariat-kastanienhof , 171 Seiten. nein.

Zustand: New. In German.

Paperback. Zustand: Brand New. 364 pages. German language. 8.27x5.83x0.87 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Die vorliegende Festschrift würdigt die wissenschaftliche Karriere von Hans-Jürgen Andreß, während der er die Methodenentwicklung im Bereich längsschnittlicher Analysemethoden geprägt und einflussreiche empirische Studien zu Armut, Ungleichheit und den Folgen kritischer Lebensereignisse vorgelegt hat. Der Band vereint nun diese Aspekte und versammelt empirische Studien, welche auf Basis längsschnittlicher analytischer Designs verschiedene Formen sozialer Ungleichheit in Deutschland untersuchen. In unterschiedlichen thematischen Feldern erarbeiten die Beiträge Erklärungen für Ungleichheitspositionen und untersuchen insbesondere deren Einbettung in den Lebensverlauf. Neben ihrem konkreten empirischen Forschungsbeitrag demonstrieren die Studien damit gleichzeitig die analytischen Potentiale längsschnittlicher Designs und der vorhandenen längsschnittlichen Dateninfrastruktur in Deutschland. Die HerausgeberProf. Dr. Marco Giesselmann ist Juniorprofessor an der Universität Bielefeld und Mitarbeiter des DIW Berlin.Prof. Dr. Katrin Golsch ist Professorin für Quantitative Methoden der empirischen Sozialforschung und Sozialstrukturanalyse am Institut für Sozialwissenschaften der Universität Osnabrück.Prof. Dr. Henning Lohmann ist Professur für Soziologie am Fachbereich Sozialökonomie der Universität Hamburg.Dr. Alexander Schmidt-Catran ist akademischer Rat am Institut für Soziologie und Sozialpsychologie (ISS) an der Universität zu Köln.

Taschenbuch. Zustand: Neu. Lebensbedingungen in Deutschland in der Längsschnittperspektive | Marco Giesselmann (u. a.) | Taschenbuch | vii | Deutsch | 2017 | Springer Gabler | EAN 9783658192051 | Verantwortliche Person für die EU: Springer VS in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates the impact of labour market insecurity on the work and family life of men and women within the diverse contexts of Germany, Great Britain, and Spain. The aim is to describe country-specific trends in life course decisions, to discuss the changes in the degree of social protection in an era of globalisation, and to develop a theoretical framework for enhancing our understanding of when individuals make life course decisions. Using longitudinal data from national panel surveys, the book analyses the impact of labour market insecurity on labour market entry and early career, partnership and parenthood decisions, as well as work and family life of adult workers. This analysis sheds light on the complex interdependence of macro-level changes that impact national labour markets; certain risk profiles - coupled with country of residence, gender, career maturity, and individual resources -, and life course decision-making.