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Verlag: SAGE Publications Pvt. Ltd
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
Zustand: VeryGood. Most items will be dispatched the same or the next working day.
Verlag: SAGE Publications Pvt. Ltd, 2018
ISBN 10: 8178298759ISBN 13: 9788178298757
Anbieter: medimops, Berlin, Deutschland
Buch
Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Anbieter: Moby Dick, Noordwijk, Niederlande
9788178298757 / nice paperback 2008 (code Sc-11).
Verlag: Springer International Publishing, 2022
ISBN 10: 3030844234ISBN 13: 9783030844233
Anbieter: Buchpark, Trebbin, Deutschland
Buch
Zustand: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: angestoßen. | Seiten: 272.
Verlag: Springer International Publishing, 2022
ISBN 10: 3030844234ISBN 13: 9783030844233
Anbieter: Buchpark, Trebbin, Deutschland
Buch
Zustand: Wie neu. Zustand: Wie neu | Seiten: 272.
Verlag: Springer International Publishing, 2022
ISBN 10: 3030844234ISBN 13: 9783030844233
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Verlag: Springer International Publishing, 2021
ISBN 10: 303084420XISBN 13: 9783030844202
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Verlag: Springer, 2013
ISBN 10: 3642329136ISBN 13: 9783642329135
Anbieter: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Deutschland
Buch
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.