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 IBM SPSS Statistics version 23.
Author: Sarah Brown
Release Date: 2015-06-26
Research Methods for Forensic Psychologists is an accessible and comprehensive textbook that introduces students to the research process in forensic psychology. Adopting a problem-based learning approach, this book offers a ‘how-to’ guide to the whole research process and empowers readers to develop their own programme of research, from initial vague ideas, to developing a research question, to carrying out a methodologically rigorous research project, to disseminating the findings. The text is centred on five case studies, sufficiently different in nature to address the most common research methodologies. Each case study is linked with a specific research question that will be used to illustrate the research process throughout the rest of the book. Topics covered in the book include: Design and Planning, including a literature search, a discussion of different sorts of data, practical and feasibility issues, research ethics and developing a research proposal. Conducting research, including the submission of ethics proposals and responding to feedback, collecting data and dealing with the problems and challenges of analysing data. Dissemination of findings, an overview of the different types of papers, with examples listed and other methods of disseminating findings discussed, such as conference presentations and the use of social media. Throughout, issues of common difficulty or confusion are highlighted and activities are provided for readers to consider and apply the information discussed further. Additional reading sections and summaries are also provided at the end of each chapter. This book is essential reading for advanced students in Forensic Psychology, as well as trainees and practitioners within relevant forensic psychology organisations.
Author: Alexander E. Bolz
Release Date: 2008-05-15
Genre: Business & Economics
Alexander Bolz analysiert, wie sich innovations- und kooperationsrelevante Merkmale auf den Erfolg junger Technologieunternehmungen im Entwicklungsverlauf auswirken und Ziel führend gestaltet werden können.
Author: Deborah J. Rumsey
Publisher: John Wiley & Sons
Release Date: 2016-12-16
Statistik ist ganz sicher kein beliebtes, aber ein notwendiges und auch n?tzliches Thema. Deborah Rumsey erkl?rt Ihnen in diesem Buch die notwendigen Grundbegriffe, erl?utert die wichtigsten statistischen Konzepte und schafft einen Bezug zwischen Theorie und Praxis. Dabei kommt Sie fast ohne Formeln aus. Sie lernen die verschiedenen grafischen Darstellungsm?glichkeiten von statistischem Material kennen und erfahren, wie Sie Ihre Ergebnisse richtig auswerten. Egal ob Mittelwert, Bias, Standardabweichung oder Konfidenzintervall, schon bald kann Ihnen keiner mehr etwas vormachen.
Author: Richard Salomon
Release Date: 2013-07-22
Genre: Business & Economics
Richard Salomon geht mittels einer empirischen Untersuchung der Frage nach: „Welche strategischen Voraussetzungen führen zu Erfolg in strategischen Allianzen?“. Hierbei entwirft er ein Modell, das eine Vielzahl von Strategien, die zur Bildung einer strategischen Allianz relevant sind, prinzipiell ordnet und in eine dreischichtige Struktur überführt. Aus dem Schema dieses Modells leitet er fünf Hypothesen ab, welche zum einen die Schlüssigkeit des Modells und zum anderen die Erfolgswahrscheinlichkeiten resp.Voraussetzungen für das Gelingen strategischer Allianzen zeigen sollen. Damit kann über statistische Testverfahren wie c2-Unabhängigkeitstest, t-Test, lineare Mehrfachregression und ANOVA letztendlich untermauert werden, dass die dreischichtige Struktur eine stimmige inhärente Logik aufweist und für die praktische Anwendung in potenziellen strategischen Allianzen geeignet ist.
This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and advanced forecasting techniques. More often than not, regression models involve more than one independent variable. For example, forecasting methods are commonly applied to aggregates such as inflation rates, unemployment, exchange rates, etc., that have complex relationships with determining variables. This book introduces multivariate regression models and provides examples to help understand theory underpinning the model. The book presents the fundamentals of multivariate regression and then moves on to examine several related techniques that have application in business-orientated fields such as logistic and multinomial regression. Forecasting tools such as the Box-Jenkins approach to time series modeling are introduced, as well as exponential smoothing and naïve techniques. This part also covers hot topics such as Factor Analysis, Discriminant Analysis and Multidimensional Scaling (MDS).
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.
This is the market leading book for anyone doing their research project. Clear, concise and extremely readable, this book provides a practical, step-by-step guide to doing a research project from start to finish. Thoroughly updated but retaining its well-loved style, this 6th edition includes: information on using online surveys; information on online interviewing and using online platforms for observation, e.g. Skype, Google Hangouts; new chapter on the use of social media in small scale research; thoroughly updated chapter on literature searching; revised and additional pedagogy; and a brand new text design. This practical, no-nonsense guide is vital reading for all those embarking on undergraduate or postgraduate study in any discipline, and for professionals in such fields as social science, education and health.
This book constitutes the refereed conference proceedings of the 31st British International Conference on Databases, BICOD 2017 - formerly known as BNCOD (British National Conference on Databases) - held in London, UK, in July 2017. The 17 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as data cleansing, data integration, data wrangling, data mining and knowledge discovery, graph data and knowledge graphs, intelligent data analysis, approximate and flexible querying, data provenance and ontology-based data access. They are organized in the following topical sections: data wrangling and data integration; data analysis and data mining; graph data querying and analysis; multidimensional data and data quality; and distributed and multimedia data management.
Author: Scott Buckler
Release Date: 2016-03-10
Genre: Study Aids
Are you struggling with your dissertation? Have you started too late and now you're panicking? Help is here! Your Dissertation in Education is a straight-forward, plain English guide to doing and writing your project. It will take you from start to finish, with practical and friendly advice on every page. This second edition includes: - A new Foundations section with the concepts and tools you need to get started - An expanded guide to methodology and writing about methods - A new chapter on mixed methods An essential companion on your dissertation journey, this book is ideal for students across education, including teacher training, early childhood and education studies. SAGE Study Skills are essential study guides for students of all levels. From how to write great essays and succeeding at university, to writing your undergraduate dissertation and doing postgraduate research, SAGE Study Skills help you get the best from your time at university. Visit the SAGE Study Skills website for tips, quizzes and videos on study success!
Author: Richard Churches
Publisher: Crown House Publishing
Release Date: 2016-01-28
Please note: due to the tabular nature of some of the content, this ebook is best viewed on a larger screen. Teacher-led research can transform practice and enhance attainment and school improvement. Teacher-Led Research by Richard Churches and Eleanor Dommett equips teachers with the essential knowledge to design their own classroom research projects. With knowledge of scientific method, teachers can conduct their own research into areas of particular interest in their classrooms, taking control of education research and using it to inform their practice. Teachers can, for example, assess the impact of different pedagogies and prove which strategies work, which can ultimately enhance learning and attainment for pupils and drive whole-school improvement. New and innovative approaches led by teaching schools (outstanding schools following the model of teaching hospitals) are beginning to apply the same approaches used in clinical practice to their school improvement focused research work. In Teacher-Led Research you will learn how to apply similar approaches within your own classroom and in collaboration with others across different schools. Teacher-Led Research is a how-to guide for teachers, whether they use the term evidence-based, evidence-informed, evidence-engaged or evidence-led to describe the way they think about the challenge of making a difference to the learners they teach. Richard and Eleanor take teachers through the process of designing, implementing and writing up a study, encouraging them to focus on how they could apply this to their own context and interests. Teacher-Led Research provides an introduction to scientific method and guides teachers from research question to hypothesis, covers designing experimental research and implementing a study, and introduces the statistical concepts needed to analyse and write up research, enhancing teachers’ research literacy. Finally, it provides a guide to interpreting findings and writing up research. This is an essential guide for anyone wanting to conduct their own randomised controlled trials, carry out their own classroom-based studies, collaborate with other schools on projects or just better understand teacher-led research and what it could mean for their practice. This book will be of interest to anyone who is involved in school-level practitioner research, or who wishes to develop their skills in this area. It will also be of interest to teachers who are beginning university education qualifications.
Author: Ted A. Baumgartner
Publisher: Jones & Bartlett Publishers
Release Date: 2015-03-02
Heavily revised and reorganized, the ninth edition of Measurement for Evaluation in Kinesiology helps students master the essential concepts and principles of measurement and evaluation and equips them with the tools needed to become a successful evaluator within Physical Education and Exercise Science. Using a student-centered approach, it presents tests and methods for evaluating aerobic fitness, body composition, skill achievement, youth fitness, and much more. The Ninth Edition highlights the practical skills and materials that readers need and clearly outlines each chapters objectives. It goes on to discuss the latest public health initiatives, computer-based evaluations, and Healthy People 2020.
A sourcebook of exercises, games, scenarios and role plays, this practical, user-friendly guide provides a complete and valuable resource for research methods tutors, teachers and lecturers. Developed to complement and enhance existing course materials, the 100 ready-to-use activities encourage innovative and engaging classroom practice in seven areas: finding and using sources of information planning a research project conducting research using and analyzing data disseminating results acting ethically developing deeper research skills. Each of the activities is divided into a section on tutor notes and student handouts. Tutor notes contain clear guidance about the purpose, level and type of activity, along with a range of discussion notes that signpost key issues and research insights. Important terms, related activities and further reading suggestions are also included. Not only does the A4 format make the student handouts easy to photocopy, they are also available to download and print directly from the book’s companion website for easy distribution in class.
"Practical, accessible, careful and interesting, this...revised volume brings the subject up-to-date and explains, in bite sized chunks, the "how's" and "why's" of modern day geographical study...[It] brings together physical and human approaches again in a new synthesis." - Danny Dorling, Professor of Geography, University of Oxford Key Methods in Geography is the perfect introductory companion, providing an overview of qualitative and quantitative methods for human and physical geography. New to the third edition: 12 new chapters representing emerging themes including online, virtual and digital geographical methods Real-life case study examples Summaries and exercises for each chapter Free online access to full text of Progress in Human Geography and Progress in Physical Geography Progress Reports The teaching of research methods is integral to all geography courses: Key Methods in Geography, 3rd Edition explains all of the key methods with which geography undergraduates must be conversant.