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Top Series in United States

Showing 1 - 12 of 12 results for “mark a perkins”
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  • Using R for Introductory Statistics in Social Sciences

    by Mark A. Perkins ...
    Series series Mathematics and Statistics (R0)
    This book teaches R programming for fundamental statistical and data analysis skills, specifically tailored to social scientists and others new to quantitative research. Traditionally, this audience has relied on costly software packages such as SPSS, STATA, and SAS. However, R is a free, open-source alternative that, with proper guidance, is accessible and powerful for their needs. Many existing ... Read more

    $107.09 USD

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  • Statistics in a Nutshell

    A Desktop Quick Reference

    by Sarah Boslaugh ...
    Need to learn statistics for your job? Want help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject. Thoroughly revised and expanded, this edition helps you gain a solid understanding of statistics without the numbing complexity of many college texts.Each chapter presents easy-to-follow descriptions, along with ... Read more

    $23.09 USD

  • Statistical Methods for the Social and Behavioural Sciences

    A Model-Based Approach

    by David B. Flora ...
    Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data.In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model ... Read more

    $154.79 USD

  • Applied Longitudinal Data Analysis for Epidemiology

    A Practical Guide

    by Jos W. R. Twisk ...
    This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the ... Read more

    $71.39 USD

  • Applying Regression and Correlation

    A Guide for Students and Researchers

    by Jeremy Miles, Mark Shevlin ...
    This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then ... Read more

    $93.59 USD

  • Multilevel Modeling in Plain Language

    by Karen Robson, David Pevalin ...
    Have you been told you need to do multilevel modeling, but you can′t get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense?Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance ... Read more

    $52.19 USD

  • Latent Variable Modeling Using R

    A Step-by-Step Guide

    by A. Alexander Beaujean ...
    This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples ... Read more

    $79.99 USD

  • Feature Engineering and Selection

    A Practical Approach for Predictive Models

    by Max Kuhn, Kjell Johnson ...
    Series series Chapman & Hall/CRC Data Science Series
    The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate ... Read more

    $57.99 USD

  • A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

    by Joe Hair, Marko Sarstedt, G. Tomas M. Hult, Christian M. Ringle ...
    The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to ... Read more

    $52.19 USD

  • Statistical Methods for Organizational Research

    Theory and Practice

    by Chris Dewberry ...
    This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis.Covering everything from introductory descriptive statistics to advanced ... Read more

    $79.99 USD

  • Essential Statistics for Applied Linguistics

    Using R or JASP

    by Hanneke Loerts, Wander Lowie, Bregtje Seton ...
    Assuming no prior knowledge, this text provides a concise, practical and accessible introduction to using, analysing and interpreting statistics and methodologies in empirical work using R or JASP. It takes an activity-based approach, in which students are first stimulated to consider a problem or question and find their own solution before the conventional way of solving that problem or question ... Read more

    $38.89 USD

  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

    A Workbook

    by Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray ...
    Series series Business and Management (R0)
    Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification.This practical open access ... Read more

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