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Statistics in Psychology Using R and SPSS

Statistics in Psychology Using R and SPSS
Author: Dieter Rasch
Publisher: John Wiley & Sons
Total Pages: 565
Release: 2011-12-12
Genre: Psychology
ISBN: 047097124X

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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.


Learning Statistics with R

Learning Statistics with R
Author: Daniel Navarro
Publisher: Lulu.com
Total Pages: 617
Release: 2013-01-13
Genre: Computers
ISBN: 1326189727

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"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


Moving from IBM® SPSS® to R and RStudio®

Moving from IBM® SPSS® to R and RStudio®
Author: Howard T. Tokunaga
Publisher: SAGE Publications
Total Pages: 551
Release: 2021-02-12
Genre: Psychology
ISBN: 1071817019

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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.


Applied Statistics Using SPSS, STATISTICA and MATLAB

Applied Statistics Using SPSS, STATISTICA and MATLAB
Author: Joaquim P. Marques de Sá
Publisher: Springer Science & Business Media
Total Pages: 466
Release: 2013-03-09
Genre: Mathematics
ISBN: 3662058049

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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.


Introduction to SPSS in Psychology

Introduction to SPSS in Psychology
Author: Dennis Howitt
Publisher: Pearson Education
Total Pages: 270
Release: 2005
Genre: Computers
ISBN: 9780131399860

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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


Statistics for Psychology Using R

Statistics for Psychology Using R
Author: Vivek M. Belhekar
Publisher: SAGE Publications Pvt. Limited
Total Pages: 0
Release: 2016-10-31
Genre: Psychology
ISBN: 9789385985003

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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.


Introduction to Statistics and SPSS in Psychology

Introduction to Statistics and SPSS in Psychology
Author: Andrew Mayers
Publisher: Pearson Higher Ed
Total Pages: 626
Release: 2013-04-02
Genre: Psychology
ISBN: 0273731025

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Introduction to Statistics and SPSS in Psychology guides the reader carefully and concisely up the statistics staircase to success. Each step is supported by helpful visuals as well as advice on how to overcome problems. Interactive, lively, but never patronising, this is the complete guide to statistics that will take readers through their degree course from beginning to end. Take a step in the right direction and tackle statistics head on with this visual introduction.


SPSS for Psychologists

SPSS for Psychologists
Author: Nicola Brace
Publisher: Psychology Press
Total Pages: 399
Release: 2003
Genre: Psychology
ISBN: 9780805847741

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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.


SPSS Explained

SPSS Explained
Author: Perry R. Hinton
Publisher: Routledge
Total Pages: 387
Release: 2014-03-21
Genre: Psychology
ISBN: 1317753119

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SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.


Performing Data Analysis Using IBM SPSS

Performing Data Analysis Using IBM SPSS
Author: Lawrence S. Meyers
Publisher: John Wiley & Sons
Total Pages: 741
Release: 2013-08-12
Genre: Mathematics
ISBN: 1118357019

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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.