MATLAB for Behavioral Scientists

Author: David A. Rosenbaum

Publisher: Routledge

ISBN:

Category: Psychology

Page: 400

View: 778

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: •Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. •More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. •A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. •A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. •Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

MATLAB for Behavioral Scientists, Second Edition

Author: David A. Rosenbaum

Publisher: Routledge

ISBN:

Category: Psychology

Page: 400

View: 623

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: •Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. •More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. •A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. •A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. •Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

An Introduction to MATLAB for Behavioral Researchers

Author: Christopher R. Madan

Publisher: SAGE Publications, Incorporated

ISBN:

Category: Psychology

Page: 280

View: 634

MATLAB is a powerful data analysis program, but many behavioral science researchers find it too daunting to learn and use. An Introduction to MATLAB for Behavioral Researchers by Christopher R. Madan is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students—step by step—through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready figures. More advanced topics such as pseudo-randomization of trial sequences to meet specified criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fixation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data.

MATLAB for Behavioral Scientists

Author: David A. Rosenbaum

Publisher:

ISBN:

Category: Psychology

Page: 385

View: 994

Engaging Political Philosophy introduces readers to the central problems of political philosophy. Presuming no prior work in the area, the book explores the fundamental philosophical questions regarding freedom, authority, justice, and democracy. More than a survey of the central figures and texts, Engaging Political Philosophy takes readers on a philosophical exploration of the core of the field, directly examining the arguments and concepts that drive the contemporary debates. Thus the fundamental issues of political philosophy are encountered first-hand, rather than through intermediary summaries of the major texts and theories. As a result, readers are introduced to political philosophy by doing philosophy. Written in a conversational style, Engaging Political Philosophy is accessible to students and general readers. Instructors can use it in the classroom as a stand-alone textbook, a complement to a standard collection of historical readings, or as a primer to be studied in preparation for contemporary readings.

Introduction to Test Theory

Author: M. David Miller

Publisher: Routledge

ISBN:

Category: Psychology

Page: 512

View: 934

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and linear algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

Research Methods for the Behavioral Sciences

Author: Charles Stangor

Publisher: Cengage Learning

ISBN:

Category: Education

Page: 480

View: 862

Appropriate for social science students, this text offers comprehensive coverage of both experimental and non-experimental methods. The author provides succinct explanations for a full range of methods, including descriptive, correlational, experimental, and quasi-experimental research designs. Practical tips and applications integrated throughout the text allow students to make real-world connections and understand the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Engaging Political Philosophy

An Introduction

Author: Robert B. Talisse

Publisher:

ISBN:

Category: Philosophy

Page: 176

View: 284

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and linear algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

MATLAB Guide to Statistics

A Beginner's Approach

Author: Peter I Kattan

Publisher:

ISBN:

Category:

Page: 266

View: 618

This is a simple book on Statistics using MATLAB . There is a review of MATLAB in the first few chapters followed by four chapters on Statistics. This topic is very important for students and researchers in fields such as biological sciences, behavioral sciences, psychological sciences, marine science, etc. Two "statistics" chapters cover the basics of measures of central tendency, measures of dispersion, and graphical means of statistical output. There is no coverage of probability theory - only basic statistical concepts. The last two chapters cover the important topic of regression analysis in some detail. I chose this topic because regression analysis is the main statistical tool used in building models. Some readers even wanted me to include topics like hypothesis testing and ANOVA, but I feel that these topics should not be covered in a beginner's book. These topics can be found fully illustrated in specialized MATLAB books on statistics - check the updated list of references for titles of three to four books in this regard. All four chapters on statistics employ the various "statistics" commands found in the main MATLAB package, without resort to the specialized Statistics Toolbox . It should also be noted that the Statistics Toolbox is purchased separately from the MATLAB package and consists of a set of advanced MATLAB commands for specialized and advanced statistical tools, and these are beyond the scope of this book. Numerous other statistics toolboxes are also available on the market.

The Structural Representation of Proximity Matrices with MATLAB

Author: Lawrence Hubert

Publisher: SIAM

ISBN:

Category: Computers

Page: 214

View: 327

The Structural Representation of Proximity Matrices with MATLAB presents and demonstrates the use of functions (by way of M-files) within a MATLAB computational environment to effect a variety of structural representations for the proximity information that is assumed to be available on a set of objects. The representations included in the book have been developed primarily in the behavioral sciences and applied statistical literature (e.g., in psychometrics and classification), although interest in these topics now extends more widely to such fields as bioinformatics and chemometrics. Throughout the book, two kinds of proximity information are analyzed: one-mode and two-mode. One-mode proximity data are defined between the objects from a single set and are usually given in the form of a square symmetric matrix; two-mode proximity data are defined between the objects from two distinct sets and are given in the form of a rectangular matrix. In addition, there is typically the flexibility to allow the additive fitting of multiple structures to either the given one- or two-mode proximity information.

Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

Author: Stephen J. Guastello

Publisher: CRC Press

ISBN:

Category: Mathematics

Page: 631

View: 994

Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical systems has taken off in the last 30 years. While pertinent source material exists, it is strewn about the literature in mathematics, physics, biology, economics, and psychology at varying levels of accessibility. A compendium research methods reflect

Handbook of Statistical Modeling for the Social and Behavioral Sciences

Author: G. Arminger

Publisher: Springer Science & Business Media

ISBN:

Category: Mathematics

Page: 592

View: 798

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Author: John J. McArdle

Publisher: Routledge

ISBN:

Category: Psychology

Page: 474

View: 681

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.

Principles and Practice of Structural Equation Modeling, Fourth Edition

Author: Rex B. Kline

Publisher: Guilford Publications

ISBN:

Category: Social Science

Page: 534

View: 516

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examples of troublesome data, demonstrating how to handle typical problems in analyses. *Topic boxes on specialized issues, such as causes of nonpositive definite correlations. *Boxed rules to remember. *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.

Applied Analysis of Variance in Behavioral Science

Author: Lynne Edwards

Publisher: CRC Press

ISBN:

Category: Mathematics

Page: 640

View: 767

A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to

The International Film Business

A Market Guide Beyond Hollywood

Author: Angus Finney

Publisher: Routledge

ISBN:

Category: Performing Arts

Page: 287

View: 665

Virtue ethics is on the move both in Anglo-American philosophy and in the rest of the world. This volume uniquely emphasizes non-Western varieties of virtue ethics at the same time that it includes work in the many different fields or areas of philosophy where virtue ethics has recently spread its wings. Just as significantly, several chapters make comparisons between virtue ethics and other ways of approaching ethics or political philosophy or show how virtue ethics can be applied to "real world" problems.

Motor Control and Learning

A Behavioral Emphasis

Author: Richard A. Schmidt

Publisher: Human Kinetics

ISBN:

Category: Psychology

Page: 552

View: 652

Motor Control and Learning, Sixth Edition With Web Resource, focuses on observable movement behavior, the many factors that influence quality of movement, and how movement skills are acquired. The text examines the motivational, cognitive, biomechanical, and neurological processes of complex motor behaviors that allow human movement to progress from unrefined and clumsy to masterfully smooth and agile. This updated sixth edition builds upon the foundational work of Richard Schmidt and Timothy Lee in previous editions. The three new authors—each a distinguished scholar—offer a range and depth of knowledge that includes current directions in the field. The extensively revised content reflects the latest research and new directions in motor control and learning. Additional new features of the sixth edition include the following: • A web resource that includes narratives and learning activities from Motor Control in Everyday Actions that correspond with the chapters in the book, giving students additional opportunities to analyze how research in motor learning and control can be expanded and applied in everyday settings • An instructor guide that offers sample answers for the learning experiences found in the student web resource • New content on sleep and movement memory, the role of vision, illusions and reaching, the OPTIMAL theory of motor learning, the neuroscience of learning, and more Motor Control and Learning begins with a brief introduction to the field and an introduction to important concepts and research methods. Part II thoroughly covers motor control with topics such as closed-loop perspective, the role of the central nervous system for movement control, speed and accuracy, and coordination. Part III deals with motor learning, exploring the effects of attentional focus, the structure of practice sessions, the role of feedback, theoretical views of motor learning, and the retention and transfer of skills. Throughout the book, art and practical examples are included to elucidate complex topics. Sidebars with historical examples, classic research, and examples of real-world applications highlight the importance of motor control and learning research and bring attention to influential research studies and pioneers. End-of-chapter summaries and student assignments reinforce important concepts and terms and provide review opportunities. For instructors, an image bank complements the new instructor guide; it is available to course adopters at www.HumanKinetics.com/MotorControlAndLearning. The updated research, new features, and highly respected authors of Motor Control and Learning, Sixth Edition With Web Study Guide, provide a solid foundation for both students and practitioners who study and work in fields that encompass movement behavior.

Aging in Sub-Saharan Africa

Recommendations for Furthering Research

Author: National Research Council

Publisher: National Academies Press

ISBN:

Category: Social Science

Page: 368

View: 371

In sub-Saharan Africa, older people make up a relatively small fraction of the total population and are supported primarily by family and other kinship networks. They have traditionally been viewed as repositories of information and wisdom, and are critical pillars of the community but as the HIV/AIDS pandemic destroys family systems, the elderly increasingly have to deal with the loss of their own support while absorbing the additional responsibilities of caring for their orphaned grandchildren. Aging in Sub-Saharan Africa explores ways to promote U.S. research interests and to augment the sub-Saharan governments' capacity to address the many challenges posed by population aging. Five major themes are explored in the book such as the need for a basic definition of "older person," the need for national governments to invest more in basic research and the coordination of data collection across countries, and the need for improved dialogue between local researchers and policy makers. This book makes three major recommendations: 1) the development of a research agenda 2) enhancing research opportunity and implementation and 3) the translation of research findings.

Handbook for Teaching Statistics and Research Methods

Author: Mark E. Ware

Publisher: Psychology Press

ISBN:

Category: Psychology

Page: 296

View: 320

This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.