Jon A. Krosnick – författare

The primary goal of science is to "get it right," meaning that scientists seek to accurately document the world as it is. While erroneous conclusions and flawed theories can and do occur, they can only be tolerated as long as reliable mechanisms of self-correction exist, but an array of recent evidence suggests that this is not always the case. This book offers a behavioral science perspective on how scientific practice becomes compromised and provides recommendations for improvement. Broadening the discussion of research integrity beyond replication, publication biases, statistics, and methods, this book addresses the full complexity of the issue and serves academics and policy makers concerned with the reliability and validity of scientific findings across the social sciences. It tackles challenges presented by published reports and textbooks, addresses the ways that institutional review boards (IRBs) can influence the course of research, and discusses the weaknesses of meta-analysis, which is often recommended as a possible corrective measure for suboptimal scientific practice. The book concludes with an organizing framework to investigate how scientists' behaviors can impact the reliability and validity of scientific research.

On April 22-23, 1988, approximately 432,000 gallons of San Joaquin Valley crude oil spilled from an aboveground storage tank at a Shell Oil Company refinery into the surrounding environment, including the northern reaches of San Francisco Bay (the Martinez spill). Pursuant to the settlement of the resulting litigation (United States/California v. Shell Oil Co., No. C89-4220, (N.D. Cal1990)), Shell Oil Company provided funding for, among other things, studies to improve future response strategies to oil spills and ensure better restoration of resources and services affected by such spills. The California Oil Spill Contingent Valuation Study was one of the studies funded by the settlement. The purpose of the California Oil Spill (COS) Contingent Valuation (CV) Study was "to execute and document a contingent valuation study of natural resource damages associated with offshore, coastal, or estuarine oil spills in California" (State of California, Department of Justice, Contract Number 89-2126). The COS CV study developed an estimate of per household ex ante economic value for a program to prevent a specified set of natural resource injuries to those species of birds and intertidal life that are consistently affected by oil spills along California's Central Coast. The principal investigators on the COS study team were Richard T. Carson of the University of California, San Diego, and W. Michael Hanemann of the University of California, Berkeley. The study's project manager was Kerry M.

"The writing style is mature and experienced. There is noticeable care in the presentation of materials and appropriate sensitivity to the intended audience. . . . The book categorizes large bodies of wisdom in the conduct of survey research over the past half century and provides ''rules-of-thumb'' guidance to the production, analysis, and consumption of survey data."

--Steve Seitz, University of Illinois

"The authors have provided a well-written update of their textbook, which will be useful as a textbook or supplement in upper-division undergraduate or introductory graduate courses on survey research, statistical data analysis, or research design. The book provides readers with the knowledge that enables them to evaluate the results of survey research. It sensitizes the readers to potential problems that arise from flaws in research design, sampling, questionnaire construction, data collection, coding, data analysis techniques, and improper presentation or interpretation of findings."

--Mike Margolis, University of Cincinnati

Why should we believe the results of surveys based on relatively few interviews? What are the appropriate cautions in interpreting survey reports? Aimed at answering these questions, An Introduction to Survey Research, Polling, and Data Analysis, Third Edition describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data, and provides guidelines that are useful in evaluating polls. Using frequent examples from contemporary, large national surveys and polls as well as from the media, the authors stress understanding tables thoroughly before moving to interval statistics. In addition, they cover survey design, sampling and question-writing steps, interviewing and coding strategies, and survey analysis from frequency distributions and cross-tabulations to control tables and correlation/regression. They also cover the ethics of survey research and how to read and write survey research reports. Readers of this book will learn to distinguish good from bad polls and to better design and conduct their own surveys and polls.

"The writing style is mature and experienced. There is noticeable care in the presentation of materials and appropriate sensitivity to the intended audience. . . . The book categorizes large bodies of wisdom in the conduct of survey research over the past half century and provides ''rules-of-thumb'' guidance to the production, analysis, and consumption of survey data."

--Steve Seitz, University of Illinois

"The authors have provided a well-written update of their textbook, which will be useful as a textbook or supplement in upper-division undergraduate or introductory graduate courses on survey research, statistical data analysis, or research design. The book provides readers with the knowledge that enables them to evaluate the results of survey research. It sensitizes the readers to potential problems that arise from flaws in research design, sampling, questionnaire construction, data collection, coding, data analysis techniques, and improper presentation or interpretation of findings."

--Mike Margolis, University of Cincinnati

Why should we believe the results of surveys based on relatively few interviews? What are the appropriate cautions in interpreting survey reports? Aimed at answering these questions, An Introduction to Survey Research, Polling, and Data Analysis, Third Edition describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data, and provides guidelines that are useful in evaluating polls. Using frequent examples from contemporary, large national surveys and polls as well as from the media, the authors stress understanding tables thoroughly before moving to interval statistics. In addition, they cover survey design, sampling and question-writing steps, interviewing and coding strategies, and survey analysis from frequency distributions and cross-tabulations to control tables and correlation/regression. They also cover the ethics of survey research and how to read and write survey research reports. Readers of this book will learn to distinguish good from bad polls and to better design and conduct their own surveys and polls.

Social psychologists have long recognized the possibility that attitudes might differ from one another in terms of their strength, but only recently had the profound implications of this view been explored. Yet because investigators in the area were pursuing interesting but independent programs of research exploring different aspects of strength, there was little articulation of assumptions underlying the work, and little effort to establish a common research agenda. The goals of this book are to highlight these assumptions, to review the discoveries this work has produced, and to suggest directions for future work in the area.The chapter authors include individuals who have made significant contributions to the published literature and represent a diversity of perspectives on the topic. In addition to providing an overview of the broad area of attitude strength, particular chapters deal in depth with specific features of attitudes related to strength and integrate the diverse bodies of relevant theory and empirical evidence. The book will be of interest to graduate students initiating work on attitudes as well as to longstanding scholars in the field. Because of the many potential directions for application of work on attitude strength to amelioration of social problems, the book will be valuable to scholars in various applied disciplines such as political science, marketing, sociology, public opinion, and others studying attitudinal phenomena.

Social psychologists have long recognized the possibility that attitudes might differ from one another in terms of their strength, but only recently had the profound implications of this view been explored. Yet because investigators in the area were pursuing interesting but independent programs of research exploring different aspects of strength, there was little articulation of assumptions underlying the work, and little effort to establish a common research agenda. The goals of this book are to highlight these assumptions, to review the discoveries this work has produced, and to suggest directions for future work in the area.The chapter authors include individuals who have made significant contributions to the published literature and represent a diversity of perspectives on the topic. In addition to providing an overview of the broad area of attitude strength, particular chapters deal in depth with specific features of attitudes related to strength and integrate the diverse bodies of relevant theory and empirical evidence. The book will be of interest to graduate students initiating work on attitudes as well as to longstanding scholars in the field. Because of the many potential directions for application of work on attitude strength to amelioration of social problems, the book will be valuable to scholars in various applied disciplines such as political science, marketing, sociology, public opinion, and others studying attitudinal phenomena.

The concept of implicit bias - the idea that the unconscious mind might hold and use negative evaluations of social groups that cannot be documented via explicit measures of prejudice - is a hot topic in the social and behavioral sciences. It has also become a part of popular culture, while interventions to reduce implicit bias have been introduced in police forces, educational settings, and workplaces. Yet researchers still have much to understand about this phenomenon. Bringing together a diverse range of scholars to represent a broad spectrum of views, this handbook documents the current state of knowledge and proposes directions for future research in the field of implicit bias measurement. It is essential reading for those who wish to alleviate bias, discrimination, and inter-group conflict, including academics in psychology, sociology, political science, and economics, as well as government agencies, non-governmental organizations, corporations, judges, lawyers, and activists.

The concept of implicit bias – the idea that the unconscious mind might hold and use negative evaluations of social groups that cannot be documented via explicit measures of prejudice – is a hot topic in the social and behavioral sciences. It has also become a part of popular culture, while interventions to reduce implicit bias have been introduced in police forces, educational settings, and workplaces. Yet researchers still have much to understand about this phenomenon. Bringing together a diverse range of scholars to represent a broad spectrum of views, this handbook documents the current state of knowledge and proposes directions for future research in the field of implicit bias measurement. It is essential reading for those who wish to alleviate bias, discrimination, and inter-group conflict, including academics in psychology, sociology, political science, and economics, as well as government agencies, non-governmental organizations, corporations, judges, lawyers, and activists.

Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels. Yet despite their widespread use, remarkably little is known about the quality of the resulting data.This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial method of collecting data. Online Panel Research presents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse and measurement error, impact of smartphone adoption on data collection, Internet rating panels, and operational issues.The datasets used to prepare the analyses reported in the chapters are available on the accompanying website: www.wiley.com/go/online_panel Covers controversial topics such as professional respondents, speeders, and respondent validation.Addresses cutting-edge topics such as the challenge of smartphone survey completion, software to manage online panels, and Internet and mobile ratings panels.Discusses and provides examples of comparison studies between online panels and other surveys or benchmarks.Describes adjustment techniques to improve sample representativeness.Addresses coverage, nonresponse, attrition, and the relationship between nonresponse and measurement error with examples using data from the United States and Europe.Addresses practical questions such as motivations for joining an online panel and best practices for managing communications with panelists.Presents a meta-analysis of determinants of response quantity.Features contributions from 50 international authors with a wide variety of backgrounds and expertise.This book will be an invaluable resource for opinion and market researchers, academic researchers relying on web-based data collection, governmental researchers, statisticians, psychologists, sociologists, and other research practitioners.

In recent decades, research in political psychology has illuminated the psychological processes underlying important political action, both by ordinary citizens and by political leaders. As the world has become increasingly engaged in thinking about politics, this volume reflects exciting new work by political psychologists to understand the psychological processes underlying Americans’ political thinking and action.In 13 chapters, world-class scholars present new in-depth work exploring public opinion, social movements, attitudes toward affirmative action, the behavior of political leaders, the impact of the 9/11 attacks, and scientists’ statements about global warming and gasoline prices. Also included are studies of attitude strength that compare the causes and consequences of various strength-related constructs.This volume will appeal to a wide range of researchers and students in political psychology and political science, and may be used as a text in upper-level courses requiring a scholarly and contemporary review of major issues in the field.

In recent decades, research in political psychology has illuminated the psychological processes underlying important political action, both by ordinary citizens and by political leaders. As the world has become increasingly engaged in thinking about politics, this volume reflects exciting new work by political psychologists to understand the psychological processes underlying Americans’ political thinking and action.In 13 chapters, world-class scholars present new in-depth work exploring public opinion, social movements, attitudes toward affirmative action, the behavior of political leaders, the impact of the 9/11 attacks, and scientists’ statements about global warming and gasoline prices. Also included are studies of attitude strength that compare the causes and consequences of various strength-related constructs.This volume will appeal to a wide range of researchers and students in political psychology and political science, and may be used as a text in upper-level courses requiring a scholarly and contemporary review of major issues in the field.

This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data.

This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data.