Advanced Statistics for Testing Assumed Casual Relationships Multipl
This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples
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Hooshang Nayebi
Advanced Statistics for Testing Assumed Casual Relationships Multiple Regression Analysis Path Analysis Logistic Regression Analysis
University of Tehran Science and Humanities Series Series Editor University of Tehran Central Acquisitions Office, University of Tehran, Tehran, Iran
The University of Tehran Science and Humanities Series seeks to publish a broad portfolio of scientific books, basically aiming at scientists, researchers, students and professionals. The series includes peer-reviewed monographs, edited volumes, textbooks, and conference proceedings. It covers a wide range of scientific disciplines including, but not limited to Humanities, Social Sciences and Natural Sciences.
More information about this series at http://www.springer.com/series/14538
Hooshang Nayebi
Advanced Statistics for Testing Assumed Casual Relationships Multiple Regression Analysis Path Analysis Logistic Regression Analysis
123
Hooshang Nayebi Department of Sociology University of Tehran Tehran, Iran
ISSN 2367-1092 ISSN 2367-1106 (electronic) University of Tehran Science and Humanities Series ISBN 978-3-030-54753-0 ISBN 978-3-030-54754-7 (eBook) https://doi.org/10.1007/978-3-030-54754-7 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The main aim of science is to explain the phenomena. Sciences basically seek to explore cause-and-effect relationships between the phenomena. For example, the social scientist tries to explain why do some people have traditional attitudes and others have modern attitudes? Why is the social participation of women
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