Path Analysis Data Analysis Application
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| Author | : Jonathan Sarwono |
| Publisher | : |
| Total Pages | : 172 |
| Release | : 2017-10-12 |
| Genre | : |
| ISBN | : 9781549677236 |
Path analysis, developed by Sewell Wright, models association between variables that are observed sequentially with the aim of parsing a correlation model into the direct and indirect relationship model. Where in the path analysis, a correlation coefficient is used to measure the association between independent variables also called as exogenous variables in the context of path analysis. Standardized regression coefficient ( β) is used as regression weight to measure the relationship between an independent (exogenous) variable and a dependent (endogenous) variable within a particular path diagram which is then referred to as a path coefficient from exogenous to endogenous variables.In this book, the writer discusses about Path Analysis application used for research data analysis. It starts with the theory, models and its application for the research in Economics. Path Analysis can accommodate more than one variables that will be studied by researchers. Advantages of using Path Analysis are: a) more than one independent and dependent variables can be used at the same time; b) direct and indirect effects can be calculated simultaneously; c) an intervening variable can be put in the model; correlation among the independent variables can be calculated; and complex relationship among the variables studied can be arranged in sequences. To make easy the readers, the calculation of the data analysis will be assisted using IBM SPSS and Stata, two of the prominent statistical calculation tools at present. In this book, the writer will explain several models in Path Analysis, namely 1)A Multiple Linear Regression Model, 2) A Mediation Model, 3)A Joint Multiple Linear Regression and Mediation Model, 4) A Complex Model. The data that will be used in the model are primary data and secondary one. It will also be discussed when the data are time series and cross - section data or the mixed one between time series and cross - section data which is called panel data. The calculation tools used are IBM SPSS and Stata software. Besides the theory of Path Analysis, the writer discusses the application of this analysis procedure in real research contexts as well. The data used as samples are taken from real data from the field. Accordingly, this book is very useful for both undergraduate and graduate students who are taking their thesis researches. The contents of the book are as follows:a) Path Analysis Definitions and Basic Conceptsb) Path Analysis Basic Assumptionsc) Requirements of Using the Path Analysisd) Path Analysis Modelse) First Model Application: A Multiple Regression Modelf) Second Model Application: A Mediation Modelg) Third Model Application: A Joint Multiple Regression and Mediation Modelh) Fourth Model Application: A Complex Modeli) Path Analysis Using Panel Dataj) Application in Thesis Researchk) ExercisesThe calculation of the data used in the books can be downloaded in the writer's web: www.jonathansarwono.info/pa_amazon.html
| Author | : Jonathan Sarwono |
| Publisher | : Independently Published |
| Total Pages | : 182 |
| Release | : 2018-12-15 |
| Genre | : |
| ISBN | : 9781791743840 |
The second path analysis book is the improvement of the first edition book with the additional content is how to calculate the indirect effect and to conduct the hypothesis testing. To conduct it, we need an additional software called Process v3.2 for SPSS. The second edition book includes:1Path Analysis Definitions and Basic Concepts2Assumptions and Basic Principles3Requirements and Stages in Using Path Analysis4Path Analysis Models5An Application of a Multiple Regression Model6An Application of a Mediation Model7An Application of a Joint Multiple Regression and Mediation Model8An Application of a Complex Model9Path Analysis Using Panel Data10An Application in Thesis Research11Indirect Effect Calculation
| Author | : J. C. Barnes |
| Publisher | : John Wiley & Sons |
| Total Pages | : 967 |
| Release | : 2021-09-08 |
| Genre | : Social Science |
| ISBN | : 1119110726 |
The Encyclopedia of RESEARCH METHODS IN CRIMINOLOGY & CRIMINAL JUSTICE The most comprehensive reference work on research designs and methods in criminology and criminal justice This Encyclopedia of Research Methods in Criminology and Criminal Justice offers a comprehensive survey of research methodologies and statistical techniques that are popular in criminology and criminal justice systems across the globe. With contributions from leading scholars and practitioners in the field, it offers a clear insight into the techniques that are currently in use to answer the pressing questions in criminology and criminal justice. The Encyclopedia contains essential information from a diverse pool of authors about research designs grounded in both qualitative and quantitative approaches. It includes information on popular datasets and leading resources of government statistics. In addition, the contributors cover a wide range of topics such as: the most current research on the link between guns and crime, rational choice theory, and the use of technology like geospatial mapping as a crime reduction tool. This invaluable reference work: Offers a comprehensive survey of international research designs, methods, and statistical techniques Includes contributions from leading figures in the field Contains data on criminology and criminal justice from Cambridge to Chicago Presents information on capital punishment, domestic violence, crime science, and much more Helps us to better understand, explain, and prevent crime Written for undergraduate students, graduate students, and researchers, The Encyclopedia of Research Methods in Criminology and Criminal Justice is the first reference work of its kind to offer a comprehensive review of this important topic.
| Author | : Bill Shipley |
| Publisher | : Cambridge University Press |
| Total Pages | : 330 |
| Release | : 2002-08 |
| Genre | : Mathematics |
| ISBN | : 9780521529211 |
This book goes beyond the truism that 'correlation does not imply causation' and explores the logical and methodological relationships between correlation and causation. It presents a series of statistical methods that can test, and potentially discover, cause-effect relationships between variables in situations in which it is not possible to conduct randomised or experimentally controlled experiments. Many of these methods are quite new and most are generally unknown to biologists. In addition to describing how to conduct these statistical tests, the book also puts the methods into historical context and explains when they can and cannot justifiably be used to test or discover causal claims. Written in a conversational style that minimises technical jargon, the book is aimed at practising biologists and advanced students, and assumes only a very basic knowledge of introductory statistics.
| Author | : Geoffrey M. Maruyama |
| Publisher | : SAGE Publications |
| Total Pages | : 328 |
| Release | : 1997-09-22 |
| Genre | : Social Science |
| ISBN | : 150632035X |
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.
| Author | : Neil J. Salkind |
| Publisher | : SAGE |
| Total Pages | : 1779 |
| Release | : 2010-06-22 |
| Genre | : Philosophy |
| ISBN | : 1412961270 |
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
| Author | : Richard B. Darlington |
| Publisher | : Guilford Publications |
| Total Pages | : 689 |
| Release | : 2016-08-22 |
| Genre | : Social Science |
| ISBN | : 1462527981 |
Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.
| Author | : Geoffrey R. Norman |
| Publisher | : PMPH USA |
| Total Pages | : 329 |
| Release | : 2003-01-01 |
| Genre | : Medical |
| ISBN | : 1607950774 |
The third edition of PDQ Statistics provides an overview of all major statistical methods, giving the reader a good understanding of statistics and how they are used in research articles. It covers the major categories – variable and descriptive statistics, parametric statistics, non-parametric statistics, and multivariate statistics. The explanations are clear, succinct, and loaded with practical examples.
| Author | : Jeremy J Foster |
| Publisher | : SAGE |
| Total Pages | : 194 |
| Release | : 2006 |
| Genre | : Social Science |
| ISBN | : 1412900131 |
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.
| Author | : Scott W. Menard |
| Publisher | : SAGE |
| Total Pages | : 393 |
| Release | : 2010 |
| Genre | : Mathematics |
| ISBN | : 1412974836 |
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
