Dependent Data In Social Sciences Research PDF Download
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Author | : Mark Stemmler |
Publisher | : |
Total Pages | : |
Release | : 2015 |
Genre | : |
ISBN | : 9783319205861 |
Download Dependent Data in Social Sciences Research Book in PDF, ePub and Kindle
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
Author | : Mark Stemmler |
Publisher | : Springer |
Total Pages | : 385 |
Release | : 2015-10-19 |
Genre | : Social Science |
ISBN | : 3319205854 |
Download Dependent Data in Social Sciences Research Book in PDF, ePub and Kindle
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
Author | : Anol Bhattacherjee |
Publisher | : CreateSpace |
Total Pages | : 156 |
Release | : 2012-04-01 |
Genre | : Science |
ISBN | : 9781475146127 |
Download Social Science Research Book in PDF, ePub and Kindle
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author | : Carol S. Aneshensel |
Publisher | : SAGE |
Total Pages | : 473 |
Release | : 2013 |
Genre | : Social Science |
ISBN | : 1412994357 |
Download Theory-Based Data Analysis for the Social Sciences Book in PDF, ePub and Kindle
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 301 |
Release | : 1988-02-01 |
Genre | : Science |
ISBN | : 0309037492 |
Download The Behavioral and Social Sciences Book in PDF, ePub and Kindle
This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Author | : Michael Lewis-Beck |
Publisher | : SAGE |
Total Pages | : 460 |
Release | : 2004 |
Genre | : Reference |
ISBN | : 9780761923633 |
Download The SAGE Encyclopedia of Social Science Research Methods Book in PDF, ePub and Kindle
Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.
Author | : Rajesh Ekka |
Publisher | : Lulu.com |
Total Pages | : 102 |
Release | : 2014-12-16 |
Genre | : Education |
ISBN | : 1312760125 |
Download Research Methodology and Data Analysis in Humanities & Social Sciences Book in PDF, ePub and Kindle
Research refers to a search for knowledge. Research is an art of scientific investigation. The Advanced Learner's Dictionary of Current English lays down the meaning of research as, "a careful investigation or inquiry especially through search for new facts in any branch of knowledge".
Author | : R. Mark Sirkin |
Publisher | : SAGE |
Total Pages | : 636 |
Release | : 2006 |
Genre | : Mathematics |
ISBN | : 9781412905466 |
Download Statistics for the Social Sciences Book in PDF, ePub and Kindle
Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the bestselling Statistics for the Social Sciences is the solution to these dilemmas Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fearing them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained. The book includes lists of key concepts, chapter exercises, topic boxes, and more
Author | : Soleman H. Abu-Bader |
Publisher | : Oxford University Press |
Total Pages | : 395 |
Release | : 2011-07-01 |
Genre | : Social Science |
ISBN | : 0190685352 |
Download Using Statistical Methods in Social Science Research Book in PDF, ePub and Kindle
In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.
Author | : Paul Attewell |
Publisher | : Univ of California Press |
Total Pages | : 265 |
Release | : 2015-04-30 |
Genre | : Social Science |
ISBN | : 0520960599 |
Download Data Mining for the Social Sciences Book in PDF, ePub and Kindle
We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Additionally, powerful algorithms are capable of churning through seas of data to uncover patterns. Providing a simple and accessible introduction to data mining, Paul Attewell and David B. Monaghan discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists. The authors also empower social scientists to tap into these new resources and incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the diverse set of techniques available, discussing the strengths and weaknesses of various approaches, and giving practical demonstrations of how to carry out analyses using tools in various statistical software packages.