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| pallant 2010 spss: Ebook: SPSS Surival Manual: A Step by Step Guide to Data Analysis using IBM SPSS Julie Pallant, 2020-04-01 The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in Psychology, Sociology, Health Sciences, Medicine, Education, Business and related disciplines, the SPSS Survival Manual is an essential text. It is illustrated throughout with screen grabs, examples of output and tips, and is also further supported by a website with sample data and guidelines on report writing. This seventh edition is fully revised and updated to accommodate changes to IBM SPSS procedures. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software. In this thoroughly revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Pallant discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the non-parametric statistics chapter. 'An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.' - Associate Professor George Dunbar, Department of Psychology, University of Warwick 'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - John Roodenburg, Faculty of Education, Monash University |
| pallant 2010 spss: Discovering Statistics Using IBM SPSS Statistics Andy Field, 2017-11-14 With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What’s brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, 2001 A very user-friendly guide through the often daunting process of analysing research data with the widely-used SPSS software package. Compatible with version 10 and also compatible with version 11 software. |
| pallant 2010 spss: An Introduction to Secondary Data Analysis with IBM SPSS Statistics John MacInnes, 2016-12-05 Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning. |
| pallant 2010 spss: How to Use SPSS Brian C. Cronk, 2018 Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. * All major statistical techniques covered in beginning statistics classes are included: descriptive statistics graphing data prediction and association parametric inferential statistics nonparametric inferential statistics statistics for test construction * Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. * Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. * More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. * A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. * Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. * Thoroughly field-tested; your students are certain to appreciate this book. |
| pallant 2010 spss: A Guide to Doing Statistics in Second Language Research Using SPSS Jenifer Larson-Hall, 2009-09-10 This valuable book shows second language researchers how to use the statistical program SPSS to conduct statistical tests frequently done in SLA research. Using data sets from real SLA studies, A Guide to Doing Statistics in Second Language Research Using SPSS shows newcomers to both statistics and SPSS how to generate descriptive statistics, how to choose a statistical test, and how to conduct and interpret a variety of basic statistical tests. It covers the statistical tests that are most commonly used in second language research, including chi-square, t-tests, correlation, multiple regression, ANOVA and non-parametric analogs to these tests. The text is abundantly illustrated with graphs and tables depicting actual data sets, and exercises throughout the book help readers understand concepts (such as the difference between independent and dependent variables) and work out statistical analyses. Answers to all exercises are provided on the book’s companion website, along with sample data sets and other supplementary material. |
| pallant 2010 spss: Writing about Quantitative Research in Applied Linguistics L. Woodrow, 2014-09-28 With increasing pressure on academics and graduate students to publish in peer reviewed journals, this book offers a much-needed guide to writing about and publishing quantitative research in applied linguistics. With annotated examples and useful resources, this book will be indispensable to graduate students and seasoned researchers alike. |
| pallant 2010 spss: IBM SPSS Statistics 23 Step by Step Darren George, Paul Mallery, 2016-03-22 IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250 |
| pallant 2010 spss: Interpreting Quantitative Data with SPSS Rachad Antonius, 2003-01-22 This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied. |
| pallant 2010 spss: Quantitative Analysis and IBM® SPSS® Statistics Abdulkader Aljandali, 2016-11-08 This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. |
| pallant 2010 spss: Doing Quantitative Research in Education with SPSS Daniel Muijs, 2010-12-31 This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field. |
| pallant 2010 spss: Data Analysis with SPSS Stephen A. Sweet, Karen Grace-Martin, 2008 Accompanying CD-ROM contains data disk to accompany the text. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, 2020 The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your results in a report.For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.This seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output. |
| pallant 2010 spss: Statistical Persuasion Robert W. Pearson, 2010-01-20 A number of my students commended the readability of the book....It is truly one of a kind in the most excellent way. -Elsie Szecsy, Arizona State University This textbook focuses attention on the conceptual understanding of statistics, the signposts of (in)appropriate research design and quality measurement, the selection of the right statistical tools under different conditions, and the presentation of substantive and technical results. Key Features Illustrates statistical and graphical procedures in SPSS and Excel through step-by-step instructions for the analysis of real-world examples and data problems in education, crime, government performance, and program evaluation Clearly demonstrates the importance of sound research designs and measurement as well as appropriate statistical procedures Shows how to make persuasive as well as principled statistical arguments and presentations to nonacademic audiences Embeds statistical analysis within a political framework, thus alerting students to the temptation to distort data and its interpretation, the limits of dispassionate analysis, and the conditions under which sound analysis can inform decisions Instructors interested in this title can learn more about Robert Pearson and his book by viewing his YouTube video. Accompanied by robust ancillaries The Password-Protected Instructor Teaching Site offers sample syllabi; an instructor′s manual; PowerPoint lecture slides, test questions and answer keys for each chapter and a final comprehensive examination, solution sets to lab exercises, and handouts for students. The Student Study Site offers a student workbook that includes exercises, essay assignments, and sample data sets. Video lectures concerning key concepts are also available on YouTube. |
| pallant 2010 spss: Exploring the New Era of Technology-Infused Education Tomei, Lawrence, 2016-11-17 Recent advancements in technology have led to significant improvements and developments within learning environments. When utilized properly, these innovations can serve as a valuable resource for educators and students. Exploring the New Era of Technology-Infused Education is a pivotal reference source for the latest scholarly research on the implementation of emerging technologies in contemporary classroom settings. Highlighting theoretical foundations, empirical case studies, and curriculum development strategies, this book is ideally designed for researchers, practitioners, educators, and academics actively involved in teaching and learning environments. |
| pallant 2010 spss: Data Analysis with SPSS for Survey-based Research Saiyidi Mat Roni, Hadrian Geri Djajadikerta, 2021-06-21 This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data. |
| pallant 2010 spss: Discovering Statistics Using SPSS Andy Field, 2009-01-21 'In this brilliant new edition Andy Field has introduced important new introductory material on statistics that the student will need and was missing at least in the first edition. This book is the best blend that I know of a textbook in statistics and a manual on SPSS. It is a balanced composite of both topics, using SPSS to illustrate important statistical material and, through graphics, to make visible important approaches to data analysis. There are many places in the book where I had to laugh, and that's saying a lot for a book on statistics. His excellent style engages the reader and makes reading about statistics fun' - David C Howell, Professor Emeritus, University of Vermont USA This award-winning text, now fully updated with SPSS Statistics, is the only book on statistics that you will need! Fully revised and restructured, this new edition is even more accessible as it now takes students through from introductory to advanced level concepts, all the while grounding knowledge through the use of SPSS Statistics. Andy Field's humorous and self-deprecating style and the book's host of characters make the journey entertaining as well as educational. While still providing a very comprehensive collection of statistical methods, tests and procedures, and packed with examples and self-assessment tests to reinforce knowledge, the new edition now also offers: - a more gentle introduction to basic-level concepts and methods for beginners - new textbook features to make the book more user-friendly for those learning about more advanced concepts, encouraging 'critical thinking' - a brand new, full-colour design, making it easy for students to navigate between topics, and to understand how to use the latest version of SPSS Statistics - both 'real world' (the bizarre and the wonderful) and invented examples illustrate the concepts and make the techniques come alive for students - an additional chapter on multilevel modelling for advanced-level students - reinforced binding to make the book easier to handle at a computer workstation. The book also includes access to a brand new and improved companion Website, bursting with features including: - animated 'SPSS walk-through' videos clearly demonstrating how to use the latest SPSS Statistics modules - self-marking multiple choice questions - data sets for psychology, business and management and health sciences - a flash-card glossary for testing knowledge of key concepts - access to support material from SAGE study skills books. Statistics lecturers are also provided with a whole range of resources and teaching aids, including: - the test bank - over 300 multiple-choice questions ready to upload to WebCT, Blackboard or other virtual learning environments - charts and diagrams in electronic format for inclusion in lecture slides - PowerPoint slides written by the author to accompany chapters of the text. |
| pallant 2010 spss: Health Science Research Jennifer Peat, 2013-03-01 For research to be effective, it is essential that every aspect of the study is well planned. Health Science Research has been written to help researchers from all disciplines conduct their studies with this kind of integrity. Each chapter covers a specific area fo conducting a study, including: - formulating the research question - preparing a grant application - subject recruitment - data collection and analysis - interpreting the results of the study This informative text is designed to be a user friendly research, reference and study tool. It has been organised into eight chapters, each of which covers a specific area of conducting a research study. This book will be of particular value to scientists, research assistants, qualified or trainee physicians, nurses and allied health workers. The book will also be an essential companion for students in all disciplines who want to learn more about how to do good research. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, 2001 An excellent introduction to using SPSS for data analysis...extremely useful for undergraduate students, and covers a good range of material often not found in competing texts. It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided. - George Dunbar, University of WarwickThis book is an excellent addition to the research methods literature. It presents the research process, research strategy and SPSS techniques in manageable steps offering clear advice, useful tips and discussion of relevant issues such as assumptions and effect size...this text is written in an encouraging and supportive style. I believe students will read and learn with this book. - David Cairns, Macquarie University, AustraliaThe SPSS Survival Manual throws a lifeline to students and researchers grappling with SPSS. Written in a friendly, jargon-free style, it demystifies statistics and data analysis by guiding you through the entire research process and helping you to choose the right statistical technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie Pallant discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. The user-friendliness of the manual is enhanced by spiral binding which makes it easy to use at a computer. A recommended reading section points the reader towards additional sources of advice. Illustrated with screen grabs, examples of output and tips, and supported by a website (www.openup.co.uk/spss) with sample data and guidelines on report writing, the SPSS Survival Manual can be used by students and researchers at any level alongside any major statistics textbook. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, 2005-01-01 Presents a guide to the research process, covering such topics as descriptive statistics, correlation, t-tests, factor analysis, and multiple regression. |
| pallant 2010 spss: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data Ray W. Cooksey, 2020-05-14 This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis. |
| pallant 2010 spss: Research Methods and Statistics in Psychology Hugh Coolican, 2017-08-09 This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: Tricky bits - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals� reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS. |
| pallant 2010 spss: Advanced and Multivariate Statistical Methods Craig A. Mertler, Rachel A. Vannatta, Kristina N. LaVenia, 2021-11-29 Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These how-to videos run approximately 5–10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing. |
| pallant 2010 spss: Statistics in Language Research Toni Rietveld, Roeland van Hout, 2010-12-14 Statistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given. |
| pallant 2010 spss: The Survivor Manual , 2001-10-19 The official official tie-in book to the third season of Survivor on CBS shows how to beat the elements under any circumstances. The book even includes a section on the psychology of survival, with a special note on how to survive in groups. 200 illustrations. |
| pallant 2010 spss: Scientific Teaching Jo Handelsman, Sarah Miller, Christine Pfund, 2020-05-26 Featuring six chapters of digestible research points and practical classroom examples, Scientific Teaching encourages educators to approach teaching in a way that captures the spirit and rigor of scientific research, helping to transform how students learn science. |
| pallant 2010 spss: Quantitative Research Methods for Professionals W. Paul Vogt, 2007 This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computation formulas, it is accessible to a wide range of users of research. Professional practitioners in areas such education, business, social work, and psychology can gain an understanding of research methods sufficient to base their work on advanced research in their fields. The text discusses the quantitative designs and analytic techniques most needed by students in the social sciences and in applied disciplines such as education, social work, and business. It teaches what the various methods mean, when to use them, and how to interpret their results. Since it emphasizes general understanding rather than mathematical foundations, students are able to review a broad range of methods in a comparatively short space. |
| pallant 2010 spss: Genetics and Genomics in Nursing Quannetta T Edwards, PhD, MSN, MPH, FNP-BC, WHNP, AGN-BC, FAANP, Ann Maradiegue, PhD, MSN, FNP-BC, FAANP, 2017-07-28 Delivers complex information in an easy-to-read, step-by-step format The genomic era encompasses the entire spectrum of DNA -- all of the genes, and the interaction and inter-relationship of genes (genome) to the environment. Rapidly changing research has led to numerous advances in genetic testing, diagnosis, and treatments, and it is essential that APRNs be able to integrate genetic risk assessment into clinical care. This quick reference delivers complex information in an easy-to-read, step-by-step format with bitesize info boxes and bulleted information to provide the tools necessary to understand genetics/genomics and identify red flags that can appear in patient assessments. In an age of personalized and precision medicine, genetic risk assessment has never been more important. Genetics and Genomics in Nursing begins with an overview of genetics and the science behind inheritance. Chapters then break down the processes that make up risk assessment, and walk the reader through data collection and review, identification and calculation of risk, and patient communication. Finally, the last section of this text discusses special populations and key facts nurses need to know about their risk assessment. Key Features: Provides a clear introduction to a complex topic Describes important elements of the genomic risk assessment process for use in clinical settings when evaluating patients Illustrates how to develop a three-generation pedigree Applies commonly-used standardized pedigree symbols and familial patterns to aid in risk interpretation Discusses the challenges and limitations of pedigree interpretation Explains common concepts and includes helpful genomic resources Incorporates genomic risk assessment into patient evaluation |
| pallant 2010 spss: Work Engagement Arnold B. Bakker, Michael P. Leiter, 2010-04-05 This book provides the most thorough view available on this new and intriguing dimension of workplace psychology, which is the basis of fulfilling, productive work. The book begins by defining work engagement, which has been described as ‘an opposite to burnout,’ following its development into a more complex concept with far reaching implications for work-life. The chapters discuss the sources of work engagement, emphasizing the importance of leadership, organizational structures, and human resource management as factors that may operate to either enhance or inhibit employee’s experience of work. The book considers the implications of work engagement for both the individual employee and the organization as a whole. To address readers’ practical questions, the book provides in-depth coverage of interventions that can enhance employees’ work engagement and improve management techniques. Based upon the most up-to-date research by the foremost experts in the world, this volume brings together the best knowledge available on work engagement, and will be of great use to academic researchers, upper level students of work and organizational psychology as well as management consultants. |
| pallant 2010 spss: SPSS Statistics, Version 22 Peter Allen, Kellie Bennett, Brody Heritage, 2014 |
| pallant 2010 spss: Using SPSS for Windows Susan B. Gerber, Kristin Voelkl Finn, 2005-03-25 The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation. Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior. |
| pallant 2010 spss: SPSS Survival Manual Julie Pallant, 2004 The second edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely-used SPSS software package. Fully revised and updated for SPSS Version 12, it features examples from a wide range of disciplines. |
| pallant 2010 spss: Experimental Design for the Life Sciences Graeme D. Ruxton, Nick Colegrave, 2023 Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge. |
| pallant 2010 spss: The Search for Social Entrepreneurship Paul C. Light, 2009-10-30 Research on social entrepreneurship is finally catching up to its rapidly growing potential. In The Search for Social Entrepreneurship, Paul Light explores this surge of interest to establish the state of knowledge on this growing phenomenon and suggest directions for future research. Light begins by outlining the debate on how to define social entrepreneurship, a concept often cited and lauded but not necessarily understood. A very elemental definition would note that it involves individuals, groups, networks, or organizations seeking sustainable change via new ideas on how governments, nonprofits, and businesses can address significant social problems. That leaves plenty of gaps, however, and without adequate agreement on what the term means, we cannot measure it effectively. The unsatisfying results are apple-to-orange comparisons that make replication and further research difficult. The subsequent section examines the four main components of social entrepreneurship: ideas, opportunities, organizations, and the entrepreneurs themselves. The copious information available about each has yet to be mined for lessons on making social entrepreneurship a success. The third section draws on Light's original survey research on 131 high-performing nonprofits, exploring how they differ across the four key components. The fourth and final section offers recommendations for future action and research in this burgeoning field. |
| pallant 2010 spss: Numbers, Hypotheses & Conclusions Kevin Durrheim, Colin Tredoux, 2004-04 The CD-ROM contains Web-based material for extensive practice, as well as numerous examples, exercises, activities and tests. |
| pallant 2010 spss: Practical Statistics for Educators Ruth Ravid, 2020-01-02 The book introduces educational students and practitioners to the use of statistics in education. |
| pallant 2010 spss: Making Sense of Factor Analysis Marjorie A. Pett, Nancy R. Lackey, John J. Sullivan, 2003-03-21 Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. |
| pallant 2010 spss: Measurement in Nursing and Health Research Carolyn Feher Waltz, Ora Strickland, Elizabeth R. Lenz, 2010-04-17 Designated a Doody's Core Title! This is a valuable resource for readers seeking basic to advanced information on measurement. It should be on the bookshelf of all researchers, and a requirement for graduate nursing students.Score: 100, 5 stars--Doody's Medical Reviews ...this book is a wonderful shelf reference for nurse researcher mentors and investigators who may need to explore content or use content to design, test, select, and evaluate instruments and methods used in measuring nurse concepts and outcomes.--Clinical Nurse Specialist This fourth edition presents everything nurses and health researchers need to know about designing, testing, selecting, and evaluating instruments and methods for measuring in nursing. Thoroughly updated, this fourth edition now contains only the latest, most cutting-edge measurement instruments that have direct applicability for nurses and health researchers in a variety of roles, including students, clinicians, educators, researchers, administrators, and consultants. Using clear and accessible language, the authors explain in detail, and illustrate by example, how to conduct sound measurement practices that have been adequately tested for reliability and validity. This edition is enriched with topics on the leading edge of nursing and health care research, such as measurement in the digital world, biomedical instrumentation, new clinical data collection methods, and methods for measuring quality of care. Key features: Provides new and emerging strategies for testing the validity of specific measures Discusses computer-based testing: the use of Internet research and data collection Investigates methods for measuring physiological variables using biomedical instrumentation Includes information on measurement practices in clinical research, focusing on clinical data collection methods, such as clinimetrics Identifies the challenges of measuring quality of care and how to address them |
| pallant 2010 spss: Quantitative Data Analysis with SPSS for Windows Alan Bryman, Duncan Cramer, 1997-01 Quantitative Data Analysis with SPSS for Windows explains statistical tests using the latest version of SPSS, the most widely used computer package for analysing quantitative data. Using the same formula-free, non-technical approach as the highly successful non-windows version, it assumes no previous familiarity with either statistics or computing, and takes the reader step-by-step through each of the techniques for which SPSS for Windows can be used, including: correlation simple and multiple regression multivariate analysis of variance and covariance factor analysis The book also contains a comprehensive range of exercises with answers, and covers issues such as sampling, statistical significance, and the selection of appropriate tests. |
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