How To Use Spssr
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| Author | : Brian C. Cronk |
| Publisher | : Routledge |
| Total Pages | : 322 |
| Release | : 2017-11-10 |
| Genre | : Psychology |
| ISBN | : 1351390007 |
How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management
| Author | : Lawrence S. Meyers |
| Publisher | : John Wiley & Sons |
| Total Pages | : 741 |
| Release | : 2013-08-12 |
| Genre | : Mathematics |
| ISBN | : 1118357019 |
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.
| Author | : Keith McCormick |
| Publisher | : John Wiley & Sons |
| Total Pages | : 528 |
| Release | : 2017-05-01 |
| Genre | : Computers |
| ISBN | : 1119003555 |
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.
| Author | : Greeson Ruben |
| Publisher | : Charles Jesuseyitan Adebola |
| Total Pages | : 71 |
| Release | : 2021-10-27 |
| Genre | : Business & Economics |
| ISBN | : |
Do you want to get better, become efficient, and find new opportunities with this SPSS statistical tool? If your answer is yes, then this book will answer your questions about the SPSS program. This Statistical Analytic Tool is widely used in several fields, such as competitor analysis, surveys, market research, doctoral or Ph.D. research, business administration, and more. It is a flexible and all-inclusive data management and analysis tool that will help you access better and more detailed knowledge from your data. SPSS is one of the best statistical packages you will find around that performs very intricate data analysis and manipulation without stress. This guide will give you the basics needed for proficiency on any SPSS version. This book will help researchers and students to process and analyze data gotten from opinion polls, questionnaires, feasibility studies and other survey data. In this book, you will learn all you need to know about how to operate and navigate the SPSS statistics software. Scroll up and Click on the BUY NOW WITH 1-CLICK button to get this book.
| Author | : Peter James Kpolovie |
| Publisher | : |
| Total Pages | : 828 |
| Release | : 2020-11-24 |
| Genre | : |
| ISBN | : |
IBM SPSS Statistics Excellent Guide is an excellent illustrative point-by-point easy to use guide that guarantees everyone the revolutionary skills of data analysis with SPSS Statistics. What if you can personally analyze different sorts of research data accurately without a hand-held calculator? Yes, you can. Each user of the book can with all accuracy, perform data analysis expertly and lucidly interpret the output, even if it is his first day of utilizing SPSS. IBM SPSS Statistics is renowned as a most powerful and widely used software for data analysis in the social and behavioral sciences, particularly, and in other several different fields of endeavor. Currently, practical analytic skills with statistical software as demonstrated in this book are necessarily required to be a researcher or scientist. Peter James Kpolovie has provided a superb guide that thoroughly presents SPSS dialog boxes selection method and SPSS syntax method for myriads of introductory and advanced statistical techniques, including: Descriptive statistics Comparison of means with t Test techniques and Analysis of Variance models General Linear Models Univariate, Repeated measures and Mixed analysis Analysis of Covariance To accurately analyze large complex dataset collected for a given research, has consistently remained a major challenge to the investigator even before the actual problem that he has set out to investigate. Kpolovie has superbly eliminated such challenge as every user can with most exceptional ease, follow the complete procedural steps, famously illustrated in the book, to personally analyze various sorts of data impeccably. Buy a copy now and acquire mastery of the new skills.
| Author | : Manfred te Grotenhuis |
| Publisher | : SAGE Publications |
| Total Pages | : 145 |
| Release | : 2014-01-14 |
| Genre | : Social Science |
| ISBN | : 1483347095 |
Rather than focusing on SPSS menus and the graphic user interface, How to Use SPSS Syntax, by Manfred te Grotenhuis and Chris Visscher, focuses on the syntax rules in SPSS, a more encompassing approach that allows readers to replicate statistical analyses by storing them in a file for future use. Practical, accessible, and highly focused, the book is brief, while still helping readers develop an in-depth understanding of the common syntax rules and commands. In every chapter, the authors clearly explain the syntax, show the main results, and include social science research examples and downloadable files that allow readers to follow along. Checks throughout the book help readers determine whether the syntax is used correctly.
| Author | : Jacqueline Collier |
| Publisher | : SAGE Publications |
| Total Pages | : 217 |
| Release | : 2010 |
| Genre | : Education |
| ISBN | : 1412922186 |
SPSS syntax is the command language used by SPSS to carry out all of its commands and functions. In this book, Jacqueline Collier introduces the use of syntax to those who have not used it before, or who are taking their first steps in using syntax. Without requiring any knowledge of programming, the text outlines: - how to become familiar with the syntax commands; - how to create and manage the SPSS journal and syntax files; - and how to use them throughout the data entry, management and analysis process. Collier covers all aspects of data management from data entry through to data analysis, including managing the errors and the error messages created by SPSS. Syntax commands are clearly explained and the value of syntax is demonstrated through examples. This book also supports the use of SPSS syntax alongside the usual button and menu-driven graphical interface (GIF) using the two methods together, in a complementary way. The book is written in such a way as to enable you to pick and choose how much you rely on one method over the other, encouraging you to use them side-by-side, with a gradual increase in use of syntax as your knowledge, skills and confidence develop. This book is ideal for all those carrying out quantitative research in the health and social sciences who can benefit from SPSS syntax's capacity to save time, reduce errors and allow a data audit trail.
| Author | : James B. Ingwersen |
| Publisher | : |
| Total Pages | : 26 |
| Release | : 1981 |
| Genre | : Statistics |
| ISBN | : |
| Author | : Samuel Fairlamb |
| Publisher | : Oxford University Press |
| Total Pages | : 705 |
| Release | : 2021-06-25 |
| Genre | : PSYCHOLOGY |
| ISBN | : 0198823045 |
Understanding Quantitative and Qualitative Research in Psychology is the most hands-on, accessible and approachable guide to the entire research process, which fully explores both quantitative and qualitative methods to give students the knowledge and confidence they need. Students arepresented with a practically-focused guide to carrying out psychological research and are taken from formulating a research question through to collecting data, analysing datasets statistically with SPSS or qualitatively with a range of approaches, and finally presenting and thinking criticallyabout research findings. They are shown the importance of research ethics, and coverage of the replication crisis and the open science movement is considered throughout.The online resources present a wealth of opportunities for students to practice what they have learned, and the title is supported by an excellent range of video support materials for both the qualitative and quantitative sections, including SPSS screencasts for all relevant chapters, and a range ofvideos on interview skills.Digital formats and resourcesUnderstanding Quantitative and Qualitative Research in Psychology is available for students and institutions to purchase in a variety of formats, and is supported by online resources.The e-book offers a mobile experience and convenient access, along with self-assessment activities and multi-media content to provide additional learning support: www.oxfordtextbooks.co.uk/ebooks/.The online resources include:For students:- Videos demonstrating interview technique- SPSS screencasts showing students how to carry out the statistical analyses covered in the book- Flashcards- SPSS datasets- Audio files of sample interviews- Transcriptions of sample interviews- Initial codes for a sample thematic analysis- Memo template and transcription template to accompany the grounded theory chapter- SPSS output files- Answers to study questions- Web references- An example qualitative studyFor lecturers:- Customizable PowerPoint presentations- Image bank- Test bank- Additional worksheets- Answer sheets- Additional datasets- Additional SPSS output files
| Author | : Reginald O. York |
| Publisher | : SAGE Publications |
| Total Pages | : 221 |
| Release | : 2016-10-28 |
| Genre | : Social Science |
| ISBN | : 1483386716 |
This practical book shows how both Excel® and SPSS® can be used for analyzing data for human service evaluation. Assuming no prior instruction for statistics, the text utilizes a "learn by doing" approach: readers see the use of statistics demonstrated and then are encouraged to apply their own data to statistical analysis with step-by-step guidance. Decision trees, practice exercises, and quizzes ensure readers will be well prepared to practice data analysis in a wide variety of human services situations.
