Author : Andrew Baines
Publisher : Nelson Thornes
Page : 52 pages
File Size : 26,57 MB
Release : 2005-07
Category :
ISBN : 0748795952
From the publishers of Bond; 30 per cent cheaper than the major competitor
Author : Frances Down
Publisher : Nelson Thornes
Page : 44 pages
File Size : 42,60 MB
Release : 2005-07
Category :
ISBN : 0748795960
A set of 11+ practice papers, containing four mock exam papers plus answers - one each for Maths, English, Verbal Reasoning and Non-vernal Reasoning - in standard answer format.
Author : Ronald H Heck
Publisher : Routledge
Page : 449 pages
File Size : 35,39 MB
Release : 2013-05-07
Category : Psychology
ISBN : 1136672346
This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.
Author : David Waugh
Publisher : Nelson Thornes
Page : 212 pages
File Size : 35,5 MB
Release : 1996-08-15
Category : Juvenile Nonfiction
ISBN : 0748727841
Pupils can progress through the differentiated activities, using the 3 star system to aid progression.Pupils' interest is maintained through the use of an attractive design and cartoons at intervals. Text is also kept simple.Activities will appeal to all lower ability pupils and have been extensively tested by practising teachers in the classroom.Flexibility and cost efficiency is maximised by a wide variety of worksheets.
Author : Ronald H. Heck
Publisher : Routledge
Page : 462 pages
File Size : 23,93 MB
Release : 2013-08-22
Category : Psychology
ISBN : 1135074178
This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.
Author : Daniel Padgett
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 48,72 MB
Release : 2021-05-18
Category : Business & Economics
ISBN : 1119690617
Applied Marketing, 2e combines solid academic theory and practitioner experience to help students master the core concepts, gain experience applying marketing principles, and understand how top marketers operate in today's business world. By bridging the gap between marketing principles taught in the classroom and those applied by business professionals, Dan Padgett and Andrew Loos, an academic and an agency owner, offer students an insider's perspective on marketing principles. In addition, this course promotes student-centered learning with an entire chapter dedicated to marketing metrics (Chapter 13) and integrates a continuing case study on a socially conscious company, This Saves Lives, to help students apply their knowledge and develop their critical thinking skills.
Author : Michellejoy Hughes
Publisher : Bond 11
Page : 0 pages
File Size : 39,4 MB
Release : 2015-03-05
Category : Eleven-plus (Educational test)
ISBN : 9780192742193
"The Bond 11+ CEM Test Papers Pack 2 are realistic exam-style papers designed to help prepare for the CEM (Durham University) 11+ tests. Each paper is designed to take 50 minutes, to replicate test conditions and develop essential skills for exam success."--Folder.
Author : Leila C. Kahwati
Publisher : SAGE Publications
Page : 234 pages
File Size : 37,24 MB
Release : 2018-12-21
Category : Social Science
ISBN : 1506390196
Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site. Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE’s Mixed Methods Research Series.
Author : Rochelle Grayson
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 48,30 MB
Release : 2021-06-21
Category :
ISBN : 1119713269
Tomorrow's professionals need a practical, customer-centric understanding of marketing's role in business and critical thinking skills to help their organizations succeed. Applied Marketing, 1st Canadian Edition helps students learn practical, modern marketing concepts appropriate for the principles of marketing course by applying them to the latest business scenarios of relatable brands like This Bar Saves Lives and GoPro. This comprehensive yet concise text is co-authored by Professors Rochelle Grayson and Daniel Padgett and practitioner Andrew Loos, and blends current academic theory with an agency-owner perspective to help students get an insider's look at how top businesses operate. With many Canadian specific examples created specifically for this course, students can relate concepts learned in the classroom to marketing topics and events taking place in their backyard.
Author : Jack E. Staub
Publisher : Univ of Wisconsin Press
Page : 390 pages
File Size : 20,16 MB
Release : 1994
Category : Computers
ISBN : 9780299135645
Crossover is a laboratory manual and computer program that work together to teach the principles of genetics. Designed to complement regular textbooks and classroom instruction, Crossover consists of thirty-five modules that can be tailored to fit genetics courses at several levels. Examples, interactive computer models, problems, and self-tests all help students understand difficult concepts and learn the basic mathematical skills needed to study contemporary theories of genetics, evolution, and breeding. The easy-to-use tutorial system lets students work at their own pace. Features include: - In-depth investigations of meiosis, genetic ratios, linkage mutation, natural selection, Hardy-Weinberg equilibrium, artificial selection, quantitative genetics, breeding methods, mating designs, plant patent law, and the use of molecular markers - A computer model that allows students to manipulate genetic parameters and compare outcomes. Students can observe evolution and artificial selection in action - A "Major Concepts" section at the beginning of each chapter to help students focus on the important material to be learned - A visual, easy-to-understand presentation of material - Exercises based on genetic data and analyses from actual research projects - Several stages of complexity within each area of instruction. - Instant grading of exercises - "Suggested Readings" at the end of each chapter to direct the student to related books, articles, and computer programs.
