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Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis
Par Howard M. Reid. 2014
Using a truly accessible and reader-friendly approach, this comprehensive introduction to statistics redefines the way statistics can be taught and…
learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.
The Fifth Edition of Harris Cooper′s bestselling text offers practical advice on how to conduct a synthesis of research in…
the social, behavioral, and health sciences. The book is written in plain language with four running examples drawn from psychology, education, and health science. With ample coverage of literature searching and the technical aspects of meta-analysis, this one-of-a-kind book applies the basic principles of sound data gathering to the task of producing a comprehensive assessment of existing research.
Facilitating Evaluation: Principles in Practice (Evaluation in Practice Series #2)
Par Michael Quinn Patton. 2018
Michael Quinn Patton’s Facilitating Evaluation: Principles in Practice is the first book of its kind to explain in depth and…
detail how to facilitate evaluation processes with stakeholders. Using the author’s own stories of his experiences as an evaluation facilitator, the book illustrates the five evaluation facilitation principles that are the organizing framework for addressing how to work with stakeholders to generate evaluation questions, make decisions among methods, interpret findings, and participate in all aspects of evaluation. Ultimately, this book will help readers perform facilitation to enhance the relevance, credibility, meaningfulness, and utility of evaluations. "A must-read for anyone considering a high-impact evaluation!" –Margaret Lombe, Boston College
Optimize Your School: It′s All About the Strategy
Par Lyle Lee Jenkins. 2016
Lead the change that you want to see in your school! Is your school or district heading in the right…
direction? In this essential guide for leaders, Lee Jenkins shows how to unite and energize your team as never before, while helping your students to love learning and crave achievement. A trusted advisor to numerous districts, Jenkins knows how to successfully transform school culture – for the long-term. Beginning with an introduction from scholar Michael Fullan, each chapter presents compelling insights and strategies for leaders, addressing how to Evolve your leadership style to guide, empower and serve Apply the principles of continuous strategic improvement as an antidote to win/lose approaches to school accountability Develop a healthy, positive culture of achievement by deeply engaging your students in their own progress and success Turn to this resource and prepare to lead positive change, from the classroom to the staff room and beyond. "This book creates a whole picture approach to school improvement while shunning the current top down model in favor of a school-led plan. The approach not only increases school performances, but values the school-level leadership and instructional faculty." Amanda Mayeaux, Career Management Specialist Iberville Parish Schools "If your district is ready to move from arbitrary to observable, from fractured to focused, and from silos to systems, you’ve found the book that can move entire organizations from a goal mindset to a growth mindset. Lee Jenkins provides common-sense strategies that impact the efficiency and effectiveness of our classrooms, with a clear focus on student growth. In an educational era saturated with the latest remedy for what ails us, Lee provides a refreshing cure by offering simple solutions for lasting change." Dr. Jane Stavem, Associate Superintendent for Instruction Lincoln Public Schools, Lincoln, NE
Intermediate Statistics: A Conceptual Course
Par Brett W. Pelham. 2013
Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter…
that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
Social Network Analysis: Methods and Examples (Quantitative Applications In The Social Sciences Ser. #154)
Par Lu Zheng, Song Yang, Franziska B Keller. 2017
Social Network Analysis: Methods and Examples prepares social science students to conduct their own social network analysis (SNA) by covering…
basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.
RealWorld Evaluation: Working Under Budget, Time, Data, and Political Constraints
Par Linda S. Mabry, J. Michael Bamberger. 2020
RealWorld Evaluation: Working Under Budget, Time, Data, and Political Constraints addresses the challenges of conducting program evaluations in real-world contexts…
where evaluators and their clients face budget and time constraints. The book is organized around the authors’ seven-step model that has been tested in workshops and practice environments to help the evaluation implementers and managers make the best choices when faced with real world constraints. The Third Edition includes a new chapter on gender equality and women’s empowerment and discussion of digital technology and data science.
How To Do Research: 15 Labs for the Social & Behavioral Sciences
Par Jane F. Gaultney, Hannah D. Peach. 2016
Designed to help students make the leap from learning about research to doing research, this manual provides an easy-to-understand walkthrough…
of the entire research process, from selecting a topic and conducting a literature review through presenting an APA-style paper or presentation. All of the 15 cross-disciplinary labs included are appropriate for use in the social, behavioral, and health sciences, and follow a consistent format: objective, description of a journal article, canned data, examples of what output should look like, pointers on interpreting the output, and a suggested activity for those who wish to collect their own data.
Narrative Inquiry: A Dynamic Approach
Par Colette Daiute. 2014
Narrative Inquiry provides both a new theoretical orientation and a set of practical techniques that students and experienced researchers can…
use to conduct narrative research. Explaining the principles of what she terms "dynamic narrating," author Colette Daiute provides an approach to narrative inquiry that builds on practices of daily life where we use storytelling to connect with other people, deal with social structures, make sense of surrounding events, and craft our own way of fitting in with various contexts. Throughout the book, Daiute illustrates and applies narrative inquiry with a wide variety of examples, practical activities, charts, suggestions for interpreting analyses, and tips on writing up results. Narrative Inquiry integrates cultural-historical activity, discourse theories (including critical discourse theory and conversation analysis), and interdisciplinary research on narrative as applied to a range of research projects in different cultural settings.
Qualitative Longitudinal Methods: Researching Implementation and Change (Qualitative Research Methods #54)
Par Mary L. Derrington. 2019
Mary Lynne Derrington’s Qualitative Longitudinal Methods: Researching Implementation and Change addresses the use of the qualitative longitudinal methods, their unique…
methodological features, and the challenges and benefits to this approach. This short supplemental text uses examples of published studies, and the author’s own stories and examples, to show application of the concepts. A chapter on how to prepare a manuscript for publication concentrates on the distinctive aspects of publishing longitudinal studies. The book will be useful to those researching change and its impact on organizations and individuals resulting from the implementation of programs and policies.
My Biggest Research Mistake: Adventures and Misadventures in Psychological Research
Par Robert J. Sternberg. 2020
My Biggest Research Mistake helps students and professionals in the field of psychological science learn from the diverse mistakes of…
successful psychological scientists. Through 57 personal stories drawn from the experiences of fellows in the Association for Psychological Science (APS), editor Robert J. Sternberg presents the mistakes of experts in the field as opportunities for learning, allowing students to avoid making the same mistakes in their own work.
Social Work Research Methods: Learning by Doing
Par Reginald O. York. 2020
Social Work Research Methods is a step-by-step journey through the process of conducting research. With over 30 years of teaching…
experience, author Reginald O. York helps readers discover how research can enable them to better serve clients in the field. Each chapter features a hands-on approach to producing research, with practical chapter exercises that reinforce methods mastery. Using their own data, students engage in realistic research activities and gain an appreciation for science-informed practice as a means of evaluating client outcomes.
Analysing Quantitative Data for Business and Management Students (Mastering Business Research Methods)
Par Kristen M. Shockley, Charles A Scherbaum. 2015
In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of…
Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
Statistical Inference and Probability (The SAGE Quantitative Research Kit)
Par John MacInnes. 2022
An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks…
down the complex topic of inferential statistics with accessible language and detailed examples. It covers a range of topics, including: · Probability and Sampling distributions · Inference and regression · Power, effect size and inverse probability Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Methodologies for Practice Research: Approaches for Professional Doctorates
Par John Fulton, Carol Costley. 2019
Order your digital inspection copy here. Sharp and focused, this book provides the need-to-know information on how to design and implement…
a good, high quality research project. Oriented around real-world application, it emphasizes the aspects of research most relevant to conducting practice-based research. Assuming no prior knowledge, but appropriate for experienced learners, it builds knowledge at a sustainable pace. It offers readers: - A no frills guide to methodology and the theory of conducting research - Strategies for communicating complex ideas - Insight into common impact-driven methods like action research, case study, and mixed methods - Ways to develop systematic research projects within the boundaries of everyday working life - Ample opportunities to test and apply newfound knowledge. With streamlined advice tailored specifically to support research in professional contexts, this book is the essential toolkit every researcher who is embarking on a practice-led project needs.
Regression Models for Categorical and Count Data (The SAGE Quantitative Research Kit)
Par Peter Martin. 2021
This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by…
lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on: · Using logistic regression models for binary, ordinal, and multinomial outcomes · Applying count regression, including Poisson, negative binomial, and zero-inflated models · Choosing the most appropriate model to use for your research · The general principles of good statistical modelling in practice Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
Interpreting Interviews
Par Mats Alvesson. 2023
Through the use of eight original metaphors for understanding what may happen in interviews and what may guide the interviewee…
(more than telling the truth or revealing experiences), the reader is encouraged to do interviews in clever ways. This text enables you to question the interpretive nature and theoretical underpinnings of the interview method, and of the knowledge which is conveyed through it. The updated second edition includes new content on: • How to avoid traps in interviews • How to use interviewees with experience and insight • How to work creatively with generative material • The value of repeat interviewing over time • The importance of supplementing interviews with other methods • Possibilities of interview-based research accompanied by examples This text is essential reading for upper undergraduate and postgraduate students of qualitative methods, and researchers looking to more clearly conceptualize their interviewing practice and explore its theoretical basis. Mats Alvesson is professor at University of Bath and is also affiliated with Lund University, Stockholm School of Economics and Bayes Business School.
This text introduces the fundamental linear regression models used in quantitative research. It covers both the theory and application of…
these statistical models, and illustrates them with illuminating graphs. The author offers guidence on: Deciding the most appropriate model to use for your research Conducting simple and multiple linear regression Checking model assumptions and the dangers of overfitting Part of The SAGE Quantitative Research Kit, this book will help you make the crucial steps towards mastering multivariate analysis of social science data.
Merged Methods: A Rationale for Full Integration
Par Giampietro Gobo, Nigel G. Fielding, Gevisa La Rocca, Wander van der Vaart. 2022
A new turn in mixed methods research is here: merged methods. This provocative book offers a novel analysis of current…
mixed methods research, complicating traditional approaches and challenging existing techniques. Moving beyond the binary quantitative-qualitative distinction, the book presents methodologically grounded ways to merge methods in social research and integrate interpretive and structural approaches in one instrument or procedure. The book: Considers the importance of merging both epistemologies and methodologies. Showcases eight merged methods research approaches, from the Delphi method to multimodal content analysis. Explores the opportunities for merging methods using computational techniques, such as text mining. This innovative book is a must-read for any postgraduate student or researcher across the social sciences wanting to develop their understanding of mixed methods research.
Re-imagining the Research Process: Conventional and Alternative Metaphors
Par Mats Alvesson, Jorgen Sandberg. 2021
This book offers a unique solution to the shortage of more imaginative and engaging research by re-imagining the core elements…
of the research process. In contrast to existing methods, which mainly focus on standard ingredients in the research process, the metaphorical approach taken here offers a more varied and comprehensive platform for producing novel, influential and relevant research. The set of guiding principles suggested in the book provides researchers with the resources to break away from existing conventions and templates for conducting and writing research. Re-imagining the Research Process: Conventional and Alternative Metaphors is suitable for upper-undergraduate and postgraduate students and researchers interested in challenging traditional views of the research process. Mats Alvesson holds a chair in the Business Administration department at Lund University in Sweden and is also a part-time professor at University of Queensland Business School, Australia and at Cass Business School, UK. Jorgen Sandberg is Professor at UQ Business School, University of Queensland, Australia, and Distinguished Research Environment Professor in Organization Studies at the Warwick Business School, UK.