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Using R for Data Analysis in Social Sciences

substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist;

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Quantitative Social Science An Introduction

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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Quantitative Social Science

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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Discovering Statistics Using R

the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the;

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Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both;

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Statistics for Psychology Using R

software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.;

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Multivariate Analysis for the Biobehavioral and Social Sciences

An insightful guide to understanding and visualizing multivariate statistics using SAS(R), STATA(R), and SPSS(R) Multivariate Analysis for;

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Univariate Bivariate & Multivariate Stat

, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis;

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Data Analysis Using SPSS

A concise introduction to data analysis for beginners and intermediate students using IBM - Statistical Package for Social Sciences (SPSS);

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Quantitative Social Science

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Analyzing Textual Information

how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional;

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Applied Econometrics Using the SAS System

The first cutting-edge guide to using the SAS(R) system for the analysis of econometric data Applied Econometrics Using the SAS(R) System;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Using Statistics in the Social and Health Sciences with SPSS and Excel

, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS(R) and Excel(R;

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Advanced R Statistical Programming and Data Models

Programming and Data Models shows you how to conduct data analysis using the popular R language. You'll delve into the preconditions or hypothesis for;

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Applied Compositional Data Analysis

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and;

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Applied Univariate, Bivariate, & Multivariate Stat istics

data sets, and solutions to selected exercises Written for students of social and applied sciences, Applied Univariate, Bivariate;

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Statistical Data Analysis Explained

of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis;

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Bayesian Analysis For Social Sciences

implement the methods using WinBUGS - the most-widely used Bayesian analysis software in the world - and R - an open-source statistical software;

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Humanities Data In R

, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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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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Quantitative Social Science

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Statistics And Data With R

and Data with R presents an accessible guide to data manipulations, statistical analysis and graphics using R. Assuming no previous knowledge;

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