Download or read book Statistics in Psychology Using R and SPSS written by Dieter Rasch and published by John Wiley & Sons. This book was released on 2011-12-12 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.
Download or read book Learning Statistics with R written by Daniel Navarro and published by Lulu.com. This book was released on 2013-01-13 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Download or read book Moving from IBM SPSS to R and RStudio written by Howard T. Tokunaga and published by SAGE Publications. This book was released on 2021-02-12 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don′t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS® users just the information they need to transition their data analyses from SPSS to R.
Download or read book Statistics for Psychology Using R written by Vivek M. Belhekar and published by SAGE Publications Pvt. Limited. This book was released on 2016-10-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics. The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.
Download or read book Applied Statistics Using SPSS STATISTICA and MATLAB written by Joaquim P. Marques de Sá and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Download or read book Introduction to SPSS in Psychology written by Dennis Howitt and published by Pearson Education. This book was released on 2005 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to SPSS in Psychology Using SPSS effectively is about student confidence. With Introduction to SPSS in Psychology, students will quickly master statistical analysis with SPSS. Screenshots of all of the steps for each statistical technique give students that crucial confidence that they are on top of their analysis. Key features of the output are highlighted graphically and explained. Models of how to report the findings are provided for all techniques. Introduction to SPSS in Psychology is designed for use with SPSS12 and 13 but is just as effective with SPSS 10 and 11. It presents to students, beginners as well as more advanced students, an excellent, uncluttered, hands-on guide to the most common statistical package for psychologists. Introduction to SPSS in Psychology can be used alone or to complement the authors' Introduction to Research Methods in Psychology and Introduction to Statistics in Psychology also published by Prentice Hall. Key Features - A full range of statistics are covered, from the simplest to the advanced, all with equal clarity - Explains the practical application of statistics to data- Explains step-by-step how to enter, analyse, interpret and report data- Gives detail about what to report and how to report it - Web based supplementary material available Dennis Howitt and Duncan Cramer are both Readers in Psychology at Loughborough University
Download or read book Business Research Methods and Statistics Using SPSS written by Robert P Burns and published by SAGE. This book was released on 2008-11-20 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
Download or read book IBM SPSS Statistics 19 Made Simple written by Colin D. Gray and published by Psychology Press. This book was released on 2012 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines simplicity and clarity of presentation with a comprehensive treatment of the use of SPSS19 for the analysis and interpretation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition.
Download or read book SPSS for Psychologists written by Nicola Brace and published by Psychology Press. This book was released on 2003 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This popular text guides the novice user through the process of entering and analyzing data using SPSS. The authors assume only basic knowledge of Windows, review the basic issues regarding design and statistics, and proceed gently through all the major statistical techniques used in psychology, from introductory up to advanced level. Students are introduced to the rationale and use of each test and provided with clearly annotated examples of SPSS output. In this way, they are shown how to choose, perform, and report the statistical analysis of their own data. This edition covers SPSS 10 and 11, and contains more advanced statistical material--ANCOVA, factor analysis, logistic regression, and discriminate analysis. This book is intended for undergraduate students in statistics/research methods courses and other undergraduate-level social science courses.
Download or read book Interpreting Quantitative Data with SPSS written by Rachad Antonius and published by SAGE. This book was released on 2003-01-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Download or read book Moving from IBM SPSS to R and RStudio written by Howard T. Tokunaga and published by SAGE Publications, Incorporated. This book was released on 2021-02-02 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don′t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS® users just the information they need to transition their data analyses from SPSS to R.
Download or read book Data Science with R for Psychologists and Healthcare Professionals written by Christian Ryan and published by CRC Press. This book was released on 2021-12-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up-to-date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail. A great deal of research in the health sciences concerns questionnaire data, which may require recoding, aggregation and transformation before quantitative techniques and statistical analysis can be applied. R offers many useful and transparent functions to process data and check psychometric properties. These are illustrated in detail, along with a wide range of tools R affords for data visualisation. Many introductory statistics books for the health sciences rely on toy examples - in contrast, this book benefits from utilising open datasets from published psychological studies, to both motivate and demonstrate the transition from data manipulation and analysis to published report. R Markdown is becoming the preferred method for communicating in the open science community. This book also covers the detail of how to integrate the use of R Markdown documents into the research workflow and how to use these in preparing manuscripts for publication, adhering to the latest APA style guidelines.
Download or read book Statistics for Research in Psychology written by Rick Gurnsey and published by SAGE Publications. This book was released on 2017-08-11 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.
Download or read book SPSS Statistics for Data Analysis and Visualization written by Keith McCormick and published by John Wiley & Sons. This book was released on 2017-05-01 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
Download or read book Intermediate Statistics Using SPSS written by Herschel Knapp and published by SAGE Publications. This book was released on 2017-09-14 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.
Download or read book Performing Data Analysis Using IBM SPSS written by Lawrence S. Meyers and published by John Wiley & Sons. This book was released on 2013-08-12 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
Download or read book R for SAS and SPSS Users written by Robert A. Muenchen and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.
