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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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Applied Regression Analysis and Other Multivariable Methods

An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to;

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Applied Regression Analysis

is recommended for students from across the social sciences.;

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Applied Regression Analysis

for students from across the social sciences.;

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Time Series Analysis for the Social Sciences

Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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Data Analysis For Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;

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Quantile Regression

connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on;

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Spatial Regression Models

Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs;

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Regression and Analysis of Variance

accessible, interactive statistical software package JMP is used for data analysis. The reader will therefore develop an understanding of both;

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Primer of Applied Regression & Analysis of Variance, Third Edition

Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental;

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Complex Surveys

analysis in order to meticulously demonstrate new and efficient analyses of survey research methods in the health and social sciences. Written for;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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Regression Analysis

is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data;

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Regression Analysis

introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will;

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Statistical Models For Causal Analysis

biomedical sciences. Models covered include simple bivariate regressions, multiple regression, multiple classification analysis, path analysis;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis and Linear Models

researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and;

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Using R for Data Analysis in Social Sciences

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for;

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Applied Linear Regression 4th Ed

appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.;

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