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Path Analysis: Data Analysis Application: Using IBM SPSS and Stata
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 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
a) Path Analysis Definitions and Basic Concepts
b) Path Analysis Basic Assumptions
c) Requirements of Using the Path Analysis
d) Path Analysis Models
e) First Model A Multiple Regression Model
f) Second Model A Mediation Model
g) Third Model A Joint Multiple Regression and Mediation Model
h) Fourth Model A Complex Model
i) Path Analysis Using Panel Data
j) Application in Thesis Research
k) Exercises
The calculation of the data used in the books can be downloaded in the writer's www.jonathansarwono.info/pa_amazon.html
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 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
a) Path Analysis Definitions and Basic Concepts
b) Path Analysis Basic Assumptions
c) Requirements of Using the Path Analysis
d) Path Analysis Models
e) First Model A Multiple Regression Model
f) Second Model A Mediation Model
g) Third Model A Joint Multiple Regression and Mediation Model
h) Fourth Model A Complex Model
i) Path Analysis Using Panel Data
j) Application in Thesis Research
k) Exercises
The calculation of the data used in the books can be downloaded in the writer's www.jonathansarwono.info/pa_amazon.html
174 pages, Kindle Edition
Published September 28, 2017
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