Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison. Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfect refresher for graduate students, early career psychologists, or anyone else interested in seeing the big picture of statistical inference. Concise and conversational, its highly readable tone will engage any reader who wants to learn the basics of psychological statistics.

With over two decades of classroom experience, Michael Passer knows how to guide students through the ins and outs of research methods. In this remarkable text, Passer's experience leads to chapters filled with clear explanations, resonant examples, and contemporary research from across the breadth of modern psychology, all while anticipating common questions and misunderstandings. The new edition has been fully updated to reflect the latest APA style guidelines, as well as the updated APA Code of Conduct and ethical principles. It features full-page infographics summarizing key concepts and fully updated research. It can be packaged FREE with Worth Publishers' LaunchPad Solo for Research Methods-the ideal online component for the text, featuring videos and activities that put students in the role of either experimenter or research subject.

Max Weber (1864-1920) is generally recognised as one of the founding fathers of modern sociology. His ideas continue to be discussed by sociologists and historians and much homage is paid to his contribution to knowledge. However, such is the awe which the breadth of his knowledge inspires that most general books about Weber contain summaries rather than criticism. This book is the first attempt to evaluate Weber's entire work in the light of historical knowledge available today and of contemporary analytic philosophy. Professor Andreski shows where Weber's true greatness lies, which of Weber's ideas are still valid, which need either correction or modification and which merit rejection. Andreski places Weber in his social and cultural context of the intellectual preeminence of German culture in the second half of the nineteenth century. He examines Weber's most famous theses on objectivity, methodological individualism, ethical neutrality; explanation versus understanding; ideal types; rationalisation; bureaucracy, charisma, power, law and religion; as well as the explanation of the rise of capitalism and uniqueness of Western civilization. Andreski concludes by considering what contemporary scholars should learn from Weber if they want to advance further. He argues that the most important lesson is that comparative study of history (including recent history) is the only method of giving empirical support to an examination of large-scale social processes or a general proposition about them. This book was first published in 1984.

Offering rhetorically informed strategic interventions, this innovative collection moves beyond critiques of mental health issues, problems, and care. With sections that focus on methodological, cultural and legal, and pedagogical interventions, readers will find an engaging discussion of a discrete mental health phenomenon as well as a clear interventional takeaway in each chapter. Contributors make use of critical discourse analyses, ethnographic inquiries, autoethnographic inquiries, case studies, and textual analyses to engage such mental health research topics as postpartum depression among Chinese mothers; insanity pleas; anosognosia; issues of intimacy, access, and embodiment in research projects; community support groups; Black mental health; women in Alcoholics Anonymous; and mental health in faculty workshops and university online health tools. The authors and editors create scholarship on mental health that explicitly builds productive methodological, theoretical, and practical bridges among scholars and teachers in the various specialties of writing and communication. This collection will interest scholars, students, and practitioners in health and medical humanities; rhetoric of health and medicine; health communication; medical anthropology; scientific and technical communication; disability studies; and rhetorical studies generally.

Reviewing the use of natural light by architects in the era of electricity, this book aims to show that natural light not only remains a potential source of order in architecture, but that natural lighting strategies impose a usefully creative discipline on design.

Considering an approach to environmental context that sees light as a critical aspect of place, this book explores current attitudes to natural light by offering a series of in-depth studies of recent projects and the particular lighting issues they have addressed. It gives a more nuanced appraisal of these lighting strategies by setting them within their broader topographic, climatic and cultural contexts.

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Requires minimal prerequisites Explained in basic terms Illustrated with binary datasets and real life examples Covers primary concepts and methods Accessible to undergraduates Suitable for a heterogeneous audience

Contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.

Why learn functional programming? Isn't that some complicated ivory-tower technique used only in obscure languages like Haskell? In fact, functional programming is actually very simple. It's also very powerful, as Haskell demonstrates by throwing away all the conventional programming tools and using only functional programming features. But it doesn't have to be done that way. Functional programming is a power tool that you can use in addition to all your usual tools, to whatever extent your current mainstream language supports it. Most languages have at least basic support. In this book we use Python and Java and, as a bonus, Scala. If you prefer another language, there will be minor differences in syntax, but the concepts are the same. Give functional programming a try. You may be surprised how much a single power tool can help you in your day-to-day programming.

Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to geographic areas. It introduces the reader to concepts, theories, and methods that sit at the crossroads between spatial and social network analysis to unpack the conceptual differences between online and face-to-face social networks and the nonlinear effects triggered by social activity that overlaps online and offline. The book is divided into four sections, with the first accounting for the differences between space (the geometrical arrangements that structure and enable forms of interaction) and place (the mechanisms through which social meanings are attached to physical locations). The second section covers the rationale of social network analysis and the ontological differences, stating that relationships, more than individual and independent attributes, are key to understanding of social behavior. The third section covers a range of case studies that successfully mapped social media activity to geographically situated areas and considers the inflection of homophilous dependencies across online and offline social networks. The fourth and last section of the book explores a range of networks and discusses methods for and approaches to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non-mathematical approach to social networks and spatial statistics suitable for postgraduate students in sociology, psychology and the social sciences.

* Contains two introductory chapters on how to set up an R environment and do basic imports/manipulation of meta-analysis data, including exercises. * Describes statistical concepts clearly and concisely before applying them in R. * Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book.

Group Psychotherapy Assessment and Practice is the definitive guide to assessment in group therapy, offering the reader a means to understand and implement group therapy screening, process, and outcome tools. Geared to group psychotherapists as well as academics, this state-of-the-art text provides the reader with a framework to support and augment clinical judgment as part of routine clinical practice. It demonstrates how utilizing measurement-based care collaboratively with clients can help maximize therapeutic processes and mechanisms of change. This book shows how measures can improve the detection of client worsening and prevent premature dropout - two factors that contribute greatly to our duty to client care. Leading experts in the field provide examples of new measures that can enhance multicultural training and group leader cultural sensitivity, illustrating how awareness of diversity can enhance clinical practice and provide more contextually responsive treatment. Examples of cross-cultural adaptations of measurement are also included that place group therapy assessment within an international framework. This modern guide provides practical tools such as handouts, measures to aid in member selection, and methods of tracking progress and outcome to strengthen the group leader's effectiveness.

* Provides much-needed perspective on parenting in low- and middle-income countries, where the majority of parenting research still focuses on WEIRD (Western, educated, industrialized, rich, democratic) countries. * Compares data about four specific domains of parenting (Caregiving, Discipline, Environment and Public Health) in relation to development in children 1-5 years of age in more than 50 countries, advancing knowledge of both parenting and child development in diverse LMIC contexts. * The book is timely and particularly needed as researchers and practitioners increasingly emphasize the importance of understanding how parenting and child development are influenced by cultural contexts

* 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) * Clear step-by-step instructions on executing the analyses. * Clear guidance on how to interpret results. * Primary instruction in R but added sections for Python coders. * Discussion exercises and data exercises for each of the main chapters. * Final chapter of practice material and datasets ideal for class homework or project work.

Design and Analysis in Educational Research Using jamovi is an integrated approach to learning about research design alongside statistical analysis concepts. Strunk and Mwavita maintain a focus on applied educational research throughout the text, with practical tips and advice on how to do high-quality quantitative research. Based on their successful SPSS version of the book, the authors focus on using jamovi in this version due to its accessibility as open source software, and ease of use. The book teaches research design (including epistemology, research ethics, forming research questions, quantitative design, sampling methodologies, and design assumptions) and introductory statistical concepts (including descriptive statistics, probability theory, sampling distributions), basic statistical tests (like z and t), and ANOVA designs, including more advanced designs like the factorial ANOVA and mixed ANOVA. This textbook is tailor-made for first-level doctoral courses in research design and analysis. It will also be of interest to graduate students in education and educational research. The book includes Support Material with downloadable data sets, and new case study material from the authors for teaching on race, racism, and Black Lives Matter, available at www.routledge.com/9780367723088.

This book begins with an introductory outline of the structure of the city politics of the United States. There is a study of the city in the federal system, including the politics of feudal aid. This is followed by four case studies: the political roles of mayor, manager, boss and adminstrator-entrepreneur in the city. Madgwick concludes with some comparative reflections indicating the significance of this study for British local government. This book was first published in 1970.

This book was first published in 1977.

Max Weber (1864-1920) is generally recognised as one of the founding fathers of modern sociology. His ideas continue to be discussed by sociologists and historians and much homage is paid to his contribution to knowledge. However, such is the awe which the breadth of his knowledge inspires that most general books about Weber contain summaries rather than criticism. This book is the first attempt to evaluate Weber's entire work in the light of historical knowledge available today and of contemporary analytic philosophy. Professor Andreski shows where Weber's true greatness lies, which of Weber's ideas are still valid, which need either correction or modification and which merit rejection. Andreski places Weber in his social and cultural context of the intellectual preeminence of German culture in the second half of the nineteenth century. He examines Weber's most famous theses on objectivity, methodological individualism, ethical neutrality; explanation versus understanding; ideal types; rationalisation; bureaucracy, charisma, power, law and religion; as well as the explanation of the rise of capitalism and uniqueness of Western civilization. Andreski concludes by considering what contemporary scholars should learn from Weber if they want to advance further. He argues that the most important lesson is that comparative study of history (including recent history) is the only method of giving empirical support to an examination of large-scale social processes or a general proposition about them. This book was first published in 1984.

Through a multi-methodology approach, Principles and Methods of Social Research, Fourth Edition covers the latest research techniques and designs and guides readers toward the design and conduct of social research from the ground up. Applauded for its comprehensive coverage, the breadth and depth of content of this new edition is unparalleled. Explained with updated applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters cover topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. The book has chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis to cover these essential methodologies. Notable features include an emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation; use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs; and coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly. The new edition features: Increased attention to the distinction between conceptual replication and exact replication and how each contributes to cumulative science. Updated research examples that clarify the operation of various research design operations. More learning tools including more explanation of the basic concepts, more research examples, and more tables and figures, such as additional illustrations to include internet content like social media. Extensive revisions and expansions of all chapters. A fuller discussion of the dangers of unethical treatment to research participants. Principles and Methods of Social Research, Fourth Edition is intended for graduate or advanced undergraduate courses in research methods in psychology, communication, sociology, education, public health, and marketing, and further appeals to researchers in various fields of social research, such as social psychology and communication.

-Includes helpful forms and templates that readers can access online -Includes coverage of psychological testing in new areas of outpatient practice -Provides detailed case examples

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Get to grips with the debate around the historical epistemological origins of psychometric assessment * Written by leading experts * Explores modern and historical aspects * Full of illustrations While there have been significant developments in the technical aspects of assessing mental functioning, there is still much to be debated about the motivations and meanings of measuring the mind. How can mental faculties be objectified and what influence does subjectivity have on the object being measured and the mind measuring it? What are the consequences of quantifying complex and interdependent functions and scaling these measurements for psychometric instruments? The contributors of this edited volume explore these questions by adopting a historical and epistemological approach to consider how psychometric assessment was born and developed within the affirmation of psychology as an empirical science. Chapters explore the birth of the scientific approach, as well as different assessment methods of cognitive abilities and personality traits, and the development of new technologies that support psychological evaluation and its applications in educational and rehabilitative fields. This book is of interest to researchers of human behavior as well as practicing psychologists and psychiatrists who want to deepen their understanding of the historical and epistemological roots of psychological assessment.

This core textbook offers an introduction to the basics of statistics that is uniquely suited to behavioural science students. The book offers coverage anchored to real-world stories, a highly visual approach, helpful mathematical support, and useful step-by-step examples. The book focuses on emerging trends that are redefining contemporary behavioural statistics.This textbook helps you get to grips with a challenging subject in an enjoyable and engaging way. The book can also be purchased with the breakthrough online resource, LaunchPad, which offers innovative media content, curated and organised for easy assignability. LaunchPad's intuitive interface presents quizzing, flashcards, animations and much more to make learning actively engaging.

With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The second edition of Analyzing Spatial Models of Choice and Judgment demonstrates how to estimate and interpret spatial models with a variety of methods using the open-source programming language R. Requiring only basic knowledge of R, the book enables social science researchers to apply the methods to their own data. Also suitable for experienced methodologists, it presents the latest methods for modeling the distances between points. The authors explain the basic theory behind empirical spatial models, then illustrate the estimation technique behind implementing each method, exploring the advantages and limitations while providing visualizations to understand the results. This second edition updates and expands the methods and software discussed in the first edition, including new coverage of methods for ordinal data and anchoring vignettes in surveys, as well as an entire chapter dedicated to Bayesian methods. The second edition is made easier to use by the inclusion of an R package, which provides all data and functions used in the book. David A. Armstrong II is Canada Research Chair in Political Methodology and Associate Professor of Political Science at Western University. His research interests include measurement, Democracy and state repressive action. Ryan Bakker is Reader in Comparative Politics at the University of Essex. His research interests include applied Bayesian modeling, measurement, Western European politics, and EU politics. Royce Carroll is Professor in Comparative Politics at the University of Essex. His research focuses on measurement of ideology and the comparative politics of legislatures and political parties. Christopher Hare is Assistant Professor in Political Science at the University of California, Davis. His research focuses on ideology and voting behavior in US politics, political polarization, and measurement. Keith T. Poole is Philip H. Alston Jr. Distinguished Professor of Political Science at the University of Georgia. His research interests include methodology, US political-economic history, economic growth and entrepreneurship. Howard Rosenthal is Professor of Politics at NYU and Roger Williams Straus Professor of Social Sciences, Emeritus, at Princeton. Rosenthal's research focuses on political economy, American politics and methodology.

Adapting Educational and Psychological Tests for Cross-Cultural Assessment critically examines and advances new methods and practices for adapting tests for cross-cultural assessment and research. The International Test Commission (ITC) guidelines for test adaptation and conceptual and methodological issues in test adaptation are described in detail, and questions of ethics and concern for validity of test scores in cross-cultural contexts are carefully examined. Advances in test translation and adaptation methodology, including statistical identification of flawed test items, establishing equivalence of different language versions of a test, and methodologies for comparing tests in multiple languages, are reviewed and evaluated. The book also focuses on adapting ability, achievement, and personality tests for cross-cultural assessment in educational, industrial, and clinical settings. This book furthers the ITC's mission of stimulating research on timely topics associated with assessment. It provides an excellent resource for courses in psychometric methods, test construction, and educational and/or psychological assessment, testing, and measurement. Written by internationally known scholars in psychometric methods and cross-cultural psychology, the collection of chapters should also provide essential information for educators and psychologists involved in cross-cultural assessment, as well as students aspiring to such careers.