Suchergebnisse

"Web surveys can be programmed to capture a variety of paradata regarding how respondents answer questions. These paradata provide great opportunities for researchers to assess response quality, specifically whether respondents engage in satisficing - not spending enough effort to provide accurate responses. In particular, speeding (i.e., giving answers very quickly) has increasingly been used as an indicator for satisficing and low response quality. However, few studies have examined whether speeding actually leads to compromised response quality. To address this gap in the literature, the current study investigates speeding behaviors among Web respondents from a probability-based panel. We first identify and characterize respondents who speed more frequently than others over the entire questionnaire. To explore the impact of speeding on response quality, we then examine whether respondents who speed more frequently also straightline in more grid questions. The results show that the tendency to speed is related to several respondent characteristics, particularly age (younger respondents are more likely to speed). This study also reveals that more speeding seems to be universally related to more straightlining, and this relationship is particularly strong among the less educated respondents." (author's abstract)

Abstract
With the ubiquity of smartphones, it is possible to collect self-reports as well as to passively measure behaviors and states (e.g., locations, movement, activity, and sleep) with native sensors and the smartphone's operating system, both on a single device that usually accompanies participants throughout the day. This research synthesis brings structure to a rapidly expanding body of literature on the combined collection of self-reports and passive measurement using smartphones, pointing out how and why researchers have combined these two types of data and where more work is needed. We distinguish between five reasons why researchers might want to integrate the two data sources and how this has been helpful: (1) verification, for example, confirming start and end of passively detected trips, (2) contextualization, for example, asking about the purpose of a passively detected trip, (3) quantifying relationships, for example, quantifying the association between self-reported stress and passively measured sleep duration, (4) building composite measures, for example, measuring components of stress that participants are aware of through self-reports and those they are not through passively measured speech attributes, and (5) triggering measurement, for example, asking survey questions contingent on certain passively measured events or participant locations. We discuss challenges of collecting self-reports and passively tracking participants' behavior with smartphones from the perspective of representation (e.g., who owns a smartphone and who is willing to share their data), measurement (e.g., different levels of temporal granularity in self-reports and passively collected data), and privacy considerations (e.g., the greater intrusiveness of passive measurement than self-reports). While we see real potential in this approach it is not yet clear if its impact will be incremental or will revolutionize the field.

This book brings together leading researchers in survey methodology and communication technology in order to (1) develop theories of technology-meditated survey response, (2) contribute to a better understanding of the survey response task and how it diff

Face-to-face (F2F) interviews produce population estimates that are widely regarded as the 'gold standard' in social research. Response rates tend to be higher with face-to-face interviews than other modes and face-to-face interviewers can exploit both spoken and visual information about the respondent's performance to help assure high quality data. However, with marginal costs per respondent much higher for F2F than online data collection, survey researchers are looking for ways to exploit these lower costs with minimum loss of data quality. In panel studies, one way of doing this is to recruit probability samples F2F and subsequently switch data collection to web mode. In this paper, we examine the effect on data quality of inviting a subsample of respondents in a probability-based panel survey to complete interviews on the web instead of F2F. We use accuracy of respondents' recall of facts and subjective states over a five-year period in the areas of health and employment as indicators of data quality with which we can compare switching and non-switching respondents. We find evidence of only small differences in recall accuracy across modes and attribute this mainly to selection effects rather than measurement effects.

Contrasts two interviewing techniques that reflect different tacit assumptions about communication. With strictly standardized interviewing, interviewers leave the interpretation of questions up to respondents (Rs). With conversational interviewing, interviewers say whatever it takes to make sure that questions are interpreted uniformly & as intended. A US national sample of 227 adults were interviewed twice regarding housing & recent purchases. The first interview was strictly standardized; the second was standardized for 50% of Rs & conversational for the others. Rs in a second conversational interview answered differently than in the first interview more often & for reasons that conformed more closely to official definitions than dis Rs in a second standardized interview. This suggests that conversational interviewing improved comprehension, although it also lengthened interviews. It is concluded that Rs in a national sample may misinterpret certain questions frequently enough to compromise data quality, & such misunderstandings cannot easily be eliminated by pretesting & rewording questions alone. More standardized comprehension may require less standardized interviewer behavior. 1 Table, 2 Appendixes, 36 References. Adapted from the source document.

In this volume, the authors provide a comprehensive summary of the literature on this method of data collection that is rapidly growing in popularity. The book includes new syntheses of the authors' work and other important research on Web surveys including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection