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IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference seventeenth edition takes a straightforward step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots clear writing and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling factor analysis discriminant analysis measures of internal consistency MANOVA (between- and within-subjects) cluster analysis Log-linear models logistic regression and a chapter describing residuals. The end sections include a description of data files used in exercises an exhaustive glossary suggestions for further reading and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries has been an academic best seller through most of the earlier editions and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots explanations and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection. | IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

GBP 66.99
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Modern Engineered Bamboo Structures Proceedings of the Third International Conference on Modern Bamboo Structures (ICBS 2018) June 25-27 2

Sustainable Buildings and Structures: Building a Sustainable Tomorrow Proceedings of the 2nd International Conference in Sutainable Building

Mapping Foreign Correspondence in Europe

Multilevel and Longitudinal Modeling with IBM SPSS

Multilevel and Longitudinal Modeling with IBM SPSS

Multilevel and Longitudinal Modeling with IBM SPSS Third Edition demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout diagnostic tools data management issues and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling followed by a discussion of SPSS data management techniques that facilitate working with multilevel longitudinal or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling developing a multilevel model extensions of the basic two-level model (e. g. three-level models models for binary and ordinal outcomes) and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed followed by models with multivariate outcomes and finally models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e. g. missing data sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e. g. models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e. g. examining residuals locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets the book's practical approach makes it an essential text for graduate-level courses on multilevel longitudinal latent variable modeling multivariate statistics or advanced quantitative techniques taught in departments of business education health psychology and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques Fourth Edition; however it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.

GBP 46.99
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SPSS Explained

SPSS Explained

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 including: 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 third edition of this popular book has been fully updated for IBM SPSS version 27 and also includes: a new chapter on how to undertake mediation and moderation with SPSS updates on changes to SPSS including updated functionality within ANOVAs and calculations of a priori power analysis Presented in full colour and with a fresh reader-friendly layout this fully updated new edition also comes with online support material featuring an array of supplementary resources for students and instructors. 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 disciplines including psychology social science business studies nursing education health and sport science communication and media geography and biology. 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.

GBP 48.99
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