Statistical Methods for Organizational Research

Theory and Practice
Author: Chris Dewberry
Publisher: Psychology Press
ISBN: 041533425X
Category: Business & Economics
Page: 340
View: 7390

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'Statistical Methods for Organizational Research' provides a theoretical and practical introduction to the subject for students, researchers and practitioners involved in quantitative research.

Data Analysis for the Social Sciences

Integrating Theory and Practice
Author: Douglas Bors
Publisher: SAGE
ISBN: 1526422301
Category: Social Science
Page: 664
View: 8091

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'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea University 'This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.' —Barbra Teater, Social Work, College of Staten Island, City University of New York Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability. It shows you how to: Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support students through their statistics journeys.

Statistical Models and Methods for Financial Markets


Author: Tze Leung Lai,Haipeng Xing
Publisher: Springer Science & Business Media
ISBN: 0387778276
Category: Business & Economics
Page: 356
View: 3836

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The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in ?nance. To address the diversity in background but common strong interest in the subject and in a potential career as a “quant” in the ?nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative ?nance but also to summarize domain knowledge in ?nance and show how it can be combined with statistical modeling in ?nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.

The Essence of Research Methodology

A Concise Guide for Master and PhD Students in Management Science
Author: Jan Jonker,Bartjan Pennink
Publisher: Springer Science & Business Media
ISBN: 9783540716594
Category: Business & Economics
Page: 171
View: 8712

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Methodology is the ?eld which is indisputably complex. In the academic world, it is often said to be important, yet in everyday academic practice, it is not always treated accordingly. In teaching, methodology is often a mandatory course. Usually, it consists of learning how to adopt several common approaches when doing research, and how to conceive a research design (often leading to a survey). This usually leads to collecting data on a modest scale and – when the opportunity arises – analysing the data with the help of some statistics. Ask the students of their opinion at the end of such a course and they tend to heave a deep sigh of relief and say, “I have got through it. ” Then their real courses start again, in which methodology often does not play a role at all. We are of the opinion that writing-off methodology in this way is a real pity. It ignores the valuable role that methodology should play in academic teaching as a whole. Here, methodology is presented as a form of thinking and acting that, while obviously entailing research work, can also include the design and change of organisations. This broad approach has been purposefully chosen, as it is almost obvious from research and graduation projects that the students do not really have a clue what methodology involves and, therefore, wasting their time by producing work that has a little quality.

Correlation and Regression

Applications for Industrial Organizational Psychology and Management
Author: Philip Bobko
Publisher: SAGE Publications
ISBN: 150631595X
Category: Business & Economics
Page: 304
View: 8678

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"This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice." --Paul E. Spector, University of South Florida "As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility." --Steven G. Rogelberg, Bowling Green State University

Qualitative Organizational Research

Core Methods and Current Challenges
Author: Gillian Symon,Catherine Cassell
Publisher: SAGE
ISBN: 1446258270
Category: Social Science
Page: 544
View: 2999

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Electronic Inspection Copy available for instructors here This comprehensive text brings together in one volume both consideration of the core methods available for undertaking qualitative data collection and analysis, and discussion of common challenges faced by all researchers in conducting qualitative research. Qualitative Organizational Research: Core Methods and Common Challenges contains 27 chapters, each written by an expert in the area. The first part of the volume considers common challenges in the design and execution of qualitative research, examining key contemporary debates in each area as well as providing practical advice for those undertaking organizational research. The second part of the volume looks at contemporary uses of core qualitative methods in organizational research, outlining each method and illustrating practical application through empirical examples. Written by internationally renowned experts in qualitative research methods, this text is an accessible and essential resource for students and researchers in the areas of organization studies, business and management research, and organizational psychology. Key features: • Coverage of all the key topics in qualitative research • Chapters written by experts drawing on their personal experiences of using methods • Introductory chapters outlining the context for qualitative research and the philosophies which underpin it Gillian Symon is Reader in Organizational Psychology at Birkbeck, University of London. Catherine Cassell is Professor of Organizational Psychology at Manchester Business School.

Statistical Methods for Meta-Analysis


Author: Larry V. Hedges,Ingram Olkin
Publisher: Academic Press
ISBN: 0080570658
Category: Mathematics
Page: 369
View: 5967

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The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader. Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

Statistical Methods for Dynamic Treatment Regimes

Reinforcement Learning, Causal Inference, and Personalized Medicine
Author: Bibhas Chakraborty,Erica E.M. Moodie
Publisher: Springer Science & Business Media
ISBN: 1461474280
Category: Medical
Page: 204
View: 7382

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Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medical paradigm that emphasizes the systematic use of individual patient information to optimize patient health care. This is the first single source to provide an overview of methodology and results gathered from journals, proceedings, and technical reports with the goal of orienting researchers to the field. The first chapter establishes context for the statistical reader in the landscape of personalized medicine. Readers need only have familiarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors provide analytic approaches in sufficient detail that any researcher with knowledge of statistical programming could implement the methods from scratch. This will be an important volume for a wide range of researchers, including statisticians, epidemiologists, medical researchers, and machine learning researchers interested in medical applications. Advanced graduate students in statistics and biostatistics will also find material in Statistical Methods for Dynamic Treatment Regimes to be a critical part of their studies.

Modern Statistical Methods for Astronomy

With R Applications
Author: Eric D. Feigelson,G. Jogesh Babu
Publisher: Cambridge University Press
ISBN: 052176727X
Category: Science
Page: 476
View: 2692

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"Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Yet most astronomers still use a narrow suite of traditional statistical methods. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment"--

Research Methods in Practice

Strategies for Description and Causation
Author: Dahlia K. Remler,Gregg G. Van Ryzin
Publisher: SAGE Publications
ISBN: 1483323587
Category: Social Science
Page: 648
View: 6947

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The Second Edition of Research Methods in Practice: Strategies for Description and Causation sets an entirely new standard for presenting and learning research methods. The perspective gained from this text makes it a truly necessary tool for such applied disciplines as public affairs and administration, public policy, psychology, urban affairs, education, sociology, social work, business, public health, political science, economics, communications and criminal justice. Imbued with a deep commitment to make social and policy research methods accessible and meaningful, the Second Edition of Research Methods in Practice: Strategies for Description and Causation compels and inspires students to truly grasp the logic—and limits—of the latest research appearing in academic journals, government reports, and the media. Authors Dahlia K. Remler and Gregg G. Van Ryzin cover the most pertinent issues and methods, emphasizing the critical interpretation and practical application of research findings. Both causation and description—and the distinction between them—are emphasized and maintained thematically throughout the text. Concepts are taught through in-depth examples, such as “Fighting Malaria in Kenya,” “The U.S. Poverty Measure,” “The Fallout from Hurricane Katrina,” “Family Dinners and Teenage Substance Abuse,” and “The Effect of Poverty on Mental Health.” The realistic trade-offs, uncertainties, habits, and excitement of the research experience come through on every page. “This is the best text available for teaching students the fundamentals of research design and statistics, and for introducing them to the difficulties inherent in evaluation research and causal inference.” —Dave E. Marcotte, University of Maryland, Baltimore County

Fundamentals of Item Response Theory


Author: Ronald K. Hambleton,Hariharan Swaminathan,H. Jane Rogers
Publisher: SAGE
ISBN: 9780803936478
Category: Psychology
Page: 174
View: 5423

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By using familiar concepts from classical measurement methods and basic statistics, this book introduces the basics of item response theory (IRT) and explains the application of IRT methods to problems in test construction, identification of potentially biased test items, test equating and computerized-adaptive testing. The book also includes a thorough discussion of alternative procedures for estimating IRT parameters and concludes with an exploration of new directions in IRT research and development.

Handbook of Qualitative Organizational Research

Innovative Pathways and Methods
Author: Kimberly D. Elsbach,Roderick M. Kramer
Publisher: Routledge
ISBN: 1317908775
Category: Business & Economics
Page: 520
View: 4116

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This handbook provides a comprehensive overview of state-of-the-art, innovative approaches to qualitative research for organizational scholars. Individual chapters in each area are written by experts in a variety of fields, who have contributed some of the most innovative studies themselves in recent years. An indispensable reference guide to anyone conducting high-impact organizational research, this handbook includes innovative approaches to research problems, data collection, data analysis and interpretation, and application of research findings. The book will be of interest to scholars and graduate students in a wide variety of disciplines, including anthropology, organizational behavior, organizational theory, social psychology, and sociology

Qualitative Research Methods

Collecting Evidence, Crafting Analysis, Communicating Impact
Author: Sarah J. Tracy
Publisher: John Wiley & Sons
ISBN: 111837858X
Category: Language Arts & Disciplines
Page: 368
View: 3119

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Qualitative Research Methods is a comprehensive, all-inclusive resource for the theory and practice of qualitative/ethnographic research methodology. Serves as a “how-to” guide for qualitative/ethnographic research, detailing how to design a project, conduct interviews and focus groups, interpret and analyze data, and represent it in a compelling manner Demonstrates how qualitative data can be systematically utilized to address pressing personal, organizational, and social problems Written in an engaging style, with in-depth examples from the author’s own practice Comprehensive companion website includes sample syllabi, lesson plans, a list of helpful website links, test bank and exam review materials, and exercises and worksheets, available upon publication at www.wiley.com/go/tracy

Handbook of Statistical Analysis and Data Mining Applications


Author: Robert Nisbet,Gary Miner,Ken Yale
Publisher: Elsevier
ISBN: 0124166458
Category: Mathematics
Page: 822
View: 2860

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Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Item Response Theory


Author: Christine DeMars
Publisher: Oxford University Press
ISBN: 9780199703845
Category: Social Science
Page: 144
View: 9642

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This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported -- including detail surrounding what can be said, and how it should be said, as well as drawing boundaries around what cannot appropriately be claimed or inferred. This volume addresses an important issue for the design of survey instruments, which is rarely taught in graduate programs beyond those specifically for statisticians. Item Response Theory is used to describe the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. It is used for statistical analysis and development of assessments, often for high stakes tests such as the Graduate Record Examination. The author is known for her clear, accessible writing; like all books in this series, this volume includes examples of both good and bad write-ups for methods sections of journal articles.

Monte Carlo Statistical Methods


Author: Christian Robert,George Casella
Publisher: Springer Science & Business Media
ISBN: 1475741456
Category: Mathematics
Page: 649
View: 1515

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We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.

Critical Thinking in Clinical Research

Applied Theory and Practice Using Case Studies
Author: Felipe Fregni,Ben M. W. Illigens
Publisher: Oxford University Press
ISBN: 0199324492
Category: Medical
Page: 536
View: 3099

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One of the most crucial skills a clinician, scientist, or student can learn is to create, conduct, and interpret the conclusions of a clinical study. Critical Thinking in Clinical Research teaches these fundamentals in four distinct sections, called "units": the first unit focuses on issues surrounding the design of a study such as population, question selection, randomization, and blinding; Unit 2 presents statistical methods such as analyzing data collected, how to present and discuss the data concisely; the third unit covers practical aspects such as methodology, organizational considerations, principles of trial conduct and reporting; and the final unit delves into study designs, providing the advantages and drawbacks of each design style. Each chapter begins with a short introduction, followed by a hypothetical case that challenges the reader to make decisions, to consider pros and cons of specific approaches, and to evaluate options based on specific conditions. Knowing how to critically read and understand scientific papers and to collect, analyze, and interpret research data, which they in turn can then present in their own scientific manuscript makes this book the perfect resource for anyone looking to contribute to the wealth of scientific and medical inquiry.

Occupational Health Psychology


Author: Stavroula Leka,Jonathan Houdmont
Publisher: Wiley-Blackwell
ISBN: 9781405191159
Category: Psychology
Page: 362
View: 9857

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This ground-breaking textbook is the first to cover the new and rapidly developing field of occupational health psychology. Provides a thorough introduction to occupational health psychology and an accessible overview of the key themes in research and practice Each chapter relates to an aspect of the core education curriculum delineated by the European Academy of Occupational Health Psychology Written by internationally recognized experts in the field Examines a host of contemporary workplace health issues, including work-related stress; the psychosocial work environment; positive psychology and employee well-being; psychosocial risk management; workspace design; organizational research methods; and corporate culture and health

Statistical Methods, Experimental Design, and Scientific Inference


Author: R. A. Fisher
Publisher: OUP Oxford
ISBN: 9780198522294
Category: Mathematics
Page: 832
View: 1503

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The writings of R.A. Fisher have proved to be as relevant today as when they were written. This book brings together as a single volume three of his most influential textbooks: Statistical Methods for Research Workers, Statistical Methods and Scientific Inference, and The Design of Experiments. In a new Foreword, written for this edition, Professor Frank Yates discusses some of the key issues tackled in the textbooks, and how they relate to modern statistical practice.

Qualitative Research


Author: David Silverman
Publisher: SAGE
ISBN: 147398484X
Category: Reference
Page: 480
View: 831

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A who’s who of methodologists, this book introduces students to the big picture of qualitative research, teaching both the ‘why’ and the ‘how to’ of getting started, selecting a method and conducting research and data analysis. With practical tips, summaries, exercises and further reading, each chapter is like a masterclass from a leading scholar in qualitative research. New to the fourth edition: A streamlined structure to guide readers step-by-step through the research process Substantial new section with 4 chapters on how to collect and analyse online data A new chapter on reflexive ethnography More hands-on advice on how to conduct research at every stage, making this a perfect field handbook Updated reading lists provide a go-to guide to the literature and help improve citations The most comprehensive qualitative research book available, this is the perfect all-in-one companion for any student embarking on a qualitative research course or project. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.