Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
DisciplineDiscipline
-
Is Peer ReviewedIs Peer Reviewed
-
Series TitleSeries Title
-
Reading LevelReading Level
-
YearFrom:-To:
-
More FiltersMore FiltersContent TypeItem TypeIs Full-Text AvailableSubjectPublisherSourceDonorLanguagePlace of PublicationContributorsLocation
Done
Filters
Reset
5
result(s) for
"Social sciences Statistical methods Computer programs Handbooks, manuals, etc."
Sort by:
SPSS statistics for dummies
If you work in a field that uses SPSS Statistics, you may have found it overwhelming. The authors of this guide get you up and running and how you how to get the most from your data.
SPSS statistics for dummies
by
Salcedo, Jesus
,
Poh, Aaron
,
McCormick, Keith
in
Computer programs
,
Social sciences
,
Social sciences -- Statistical methods -- Computer programs
2015
The ultimate beginner's guide to SPSS and statistical analysis SPSS Statistics For Dummies is the fun and friendly guide to mastering SPSS. This book contains everything you need to know to get up and running quickly with this industry-leading software, with clear, helpful guidance on working with both the software and your data. Every chapter of this new edition has been updated with screenshots and steps that align with SPSS 23.0. You'll learn how to set up the software and organize your workflow, then delve deep into analysis to discover the power of SPSS capabilities. You'll discover the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and maximize your data, even if it's been awhile since your last statistics class. SPSS is the leading statistical software for social sciences, marketing, health care, demography, government, education, data mining, and more. This powerful package gives you the tools you need to get more out of your data, and this book is your beginner-friendly guide to getting the most out of the software. Install and configure SPSS and learn the basics of how it works Master the process of getting data into SPSS and manipulating it to produce results See how to display data in dozens of different graphic formats to fit specific needs Make SPSS manufacture the numbers you want and take advantage of the many analysis options Discover ways to customize the SPSS interface and the look of your results, edit graphics and pivot tables, and program SPSS with Command Syntax Statistical analysis is crucial to so many industries, and accuracy and efficiency are crucial. SPSS offers you the capability to deliver, but you still must know how to take utmost advantage of the tools at your fingertips. SPSS Statistics For Dummies shows you how to handle data like a pro, with step-by-step instruction and expert advice.
Quantitative data analysis using SPSS : an introduction for health and social science
by
Greasley, Pete
in
Quantitative research
,
Social sciences
,
Social sciences -- Research -- Statistical methods -- Computer programs
2008
\"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis.\" Primary Health Care Research and Development \"The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text ... with the purpose of giving them a foundation in statistics.\" William Evans, Institute of Technology Tralee, IrelandThis accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS.The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data.Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease.Topics covered include: Questionnaires and how to analyse themCoding the data for SPSS, setting up an SPSS database and entering the dataDescriptive statistics and illustrating the data using graphsCross-tabulation and the Chi-square statisticCorrelation: examining relationships between interval dataExamining differences between two sets of scoresReporting the results and presenting the data Quantitative Data Analysis Using SPSSis helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.
Statistiques en sciences sociales avec R
2013
Aujourd'hui, avec la formidable disponibilité des données quantitatives et l'accès aux outils d'analyse, il n'y a plus de raison d'ignorer les méthodes quantitatives. Elles doivent devenir, plus qu'avant, une composante essentielle de l'analyse en sciences sociales.Cet ouvrage présente le logiciel R, car il est offert gratuitement, appuyé par une communauté scientifique, accessible sur les principales plateformes et parce qu'il génère rapidement des graphiques de très haute qualité sous des formats multiples.Pour guider l'apprentissage de ce logiciel, nous adoptons différentes stratégies: •Une approche directe et vulgarisée des notions de statistiques... presque sans formule;•Des premiers pas jusqu'à l'analyse multivariée;•Le traitement des données, la production de graphiques;•Des exemples réels: corruption, mortalité routière, marché immobilier, votes au Congrès américain, élections françaises;•Une centaine de codes disponibles sur Internet et exécutables en quelques secondes;•Une réflexion méthodologique et épistémologique pour mieux comprendre les données statistiques.Au fil des pages, nous tenterons de montrer que les précieuses possibilités du logiciel R exigent de leurs utilisateurs qu'ils sortent du périmètre des « chiffres » pour entrer dans des considérations théoriques et qualitatives afin de redonner ensuite un sens aux chiffres.