Suchergebnisse

Abstract
In this study, we use qualitative research methods to identify, discuss, and investigate the self-reported motivational factors and barriers in all stages of the probability-based online panel lifecycle—recruitment to the panel, wave-by-wave data collection, and voluntary attrition. Our data were gathered with qualitative in-depth interviews (IDIs). Between March 2020 and February 2021, panelists from the Life in Australia™ probability online panel were classified into four groups based on their previous panel response behavior and each was interviewed. The qualitative data were used to link the reported motivation for and barriers against joining and staying active in the panel with theories about survey participation. Evidence from the IDIs shows that motivations and barriers can be directly linked to social-psychological theories that explain panel/longitudinal survey participation, including how theories such as social-exchange theory, leverage-salience theory, and the reasoned action approach, are sufficiently robust to help understand the time dimension of survey participation and behavioral change of panel members. Our findings have practical implications for probability-based online panel management.

"This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information. Examples of studies from a wide range of disciplines illustrate the strengths, limitations, and applications of the primary qualitative methods: in-depth interviews, focus group discussions, ethnography, content analysis, and case study and narrative research. Following a consistent format, chapters show students and researchers how to implement each method within a paradigm-neutral and flexible Total Quality Framework (TQF) comprising four interrelated components: Credibility, Analyzability, Transparency, and Usefulness. Unlike other texts that relegate quality issues to one or two chapters, detailed discussions of such crucial topics as construct validity, interresearcher reliability, researcher bias, and verification strategies are featured throughout. The book also addresses applications of the TQF to the writing, review, and evaluation of qualitative research proposals and manuscripts. Pedagogical Features: *Summary tables that highlight important content, such as the application of a method to vulnerable or hard-to-reach populations. *Case studies that illustrate TQF standards in practice for each method. *Guidelines for effective documentation (via thick descriptions) of each type of study. *End-of-chapter discussion topics, exercises, and suggested further reading and Web resources. *Chapters open with a preview and close with a bulleted summary of key ideas. *Extensive glossary"

"This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information. Examples of studies from a wide range of disciplines illustrate the strengths, limitations, and applications of the primary qualitative methods: in-depth interviews, focus group discussions, ethnography, content analysis, and case study and narrative research. Following a consistent format, chapters show students and researchers how to implement each method within a paradigm-neutral and flexible Total Quality Framework (TQF) comprising four interrelated components: Credibility, Analyzability, Transparency, and Usefulness. Unlike other texts that relegate quality issues to one or two chapters, detailed discussions of such crucial topics as construct validity, interresearcher reliability, researcher bias, and verification strategies are featured throughout. The book also addresses applications of the TQF to the writing, review, and evaluation of qualitative research proposals and manuscripts. Pedagogical Features: *Summary tables that highlight important content, such as the application of a method to vulnerable or hard-to-reach populations. *Case studies that illustrate TQF standards in practice for each method. *Guidelines for effective documentation (via thick descriptions) of each type of study. *End-of-chapter discussion topics, exercises, and suggested further reading and Web resources. *Chapters open with a preview and close with a bulleted summary of key ideas. *Extensive glossary"

ABSTRACTThe importance of citizen involvement in crime prevention was stressed throughut the 1970s and, with looming service cutbacks, grows in potential importance for the coming decades. While many programs have been developed to encourage the public to get involved, especially in community‐based crime prevention efforts, not much was known about the underlying motivational dynamics. On the basis of a random‐digit‐dial telephone survey of 1803 residents in an entire metropolitan area, we conclude that most citizens become involved in neighborhood anticrime activities not because of fear of crime, but rather as an extension of their general tendency for community‐based voluntary action.

Redirected Inbound Call Sampling (RICS) is an emerging, nonprobability sampling methodology in which calls to nonworking numbers from callers throughout the United States are redirected to a telephone survey recruitment protocol and data collection system. The use of automated, interactive voice response technologies to recruit, screen, and collect data achieves significant cost savings and greatly reduces the time of fielding a survey compared with traditional dual-frame random-digit dialing (DFRDD) surveys that use interviewers for recruitment and data collection. The implementation of RICS that we fielded resulted in respondents who match some demographics of the population about as well as DFRDD telephone surveys. However, we demonstrate some non-ignorable challenges with measurement error in certain types of questions that arise from primacy effects associated with using an interactive voice response system for data collection. We present the results of a RICS study that was designed to better understand the reliability and validity of the data these surveys generate. The investigation presented in this manuscript is a first step to evaluating if RICS can be a fit-for-purpose solution for some survey needs. Our data suggest there is sufficient promise in the RICS methodology to warrant continued development and refinement.

Most news media are "data rich but analysis poor" when it comes to election polling. Since election polls clearly have the power to influence campaigns and election post-mortems, it is important that "spin" not take precedence over significance in the reporting of poll results. In this volume, experts in the media and in academe challenge the conventional approaches that most news media take in their poll-based campaign coverage. The book reports new research findings on news coverage of recent presidential elections and provides a myriad of examples of how journalists and news media executives can improve their analysis of poll data, thereby better serving our political processes.

Abstract
Monetary incentives are frequently used to improve survey response rates. While it is common to use a single incentive amount for an entire sample, allowing the incentive to vary inversely with the expected probability of response may help to mitigate nonresponse and/or nonresponse bias. Using data from the 2016 National Household Education Survey (NHES:2016), an address-based sample (ABS) of US households, this article evaluates an experiment in which the noncontingent incentive amount was determined by a household's predicted response propensity (RP). Households with the lowest RP received $10, those with the highest received $2 or $0, and those in between received the standard NHES incentive of $5. Relative to a uniform $5 protocol, this "tailored" incentive protocol slightly reduced the response rate and had no impact on observable nonresponse bias. These results serve as an important caution to researchers considering the targeting of incentives or other interventions based on predicted RP. While preferable in theory to "one-size-fits-all" approaches, such differential designs may not improve recruitment outcomes without a dramatic increase in the resources devoted to low RP cases. If budget and/or ethical concerns limit the resources that can be devoted to such cases, RP-based targeting could have little practical benefit.