Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective, Hedonic, Social, Self-Expressive, and Trust-Related Factors

Bošnjak, Michael; Metzger, Gottfried; Gräf, Lorenz

doi:10.1177/0894439309353395

Cited by 28 publications

(24 citation statements)

References 42 publications

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“…However, this difference may simply be the effect of self-selection of the study population. People who are more positive and satisfied with their lives might be more motivated to participate; previous research has showed that hedonic and affective factors influence people’s willingness to participate in a survey [47]. Also, as we mentioned before, some studies have shown that people who are more educated and affluent are more likely to participate in surveys [30] and high levels of satisfaction with life are linked to high income [23].…”

Section: Discussionmentioning

confidence: 99%

Highly Educated Men Establish Strong Emotional Links with Their Dogs: A Study with Monash Dog Owner Relationship Scale (MDORS) in Committed Spanish Dog Owners

et al. 2016

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The characteristics of the human-animal bond may be influenced by both owner-related and dog-related factors. A study was designed to explore the existence of different dog ownership patterns and their related factors. We created an on line questionnaire that included demographic questions about the dog and the owner, a Spanish version of the Monash Dog Owner Relationship Scale (MDORS) and a validated measure of satisfaction with life (Cantril’s ladder). We collected 1140 valid responses from adult dog owners, who were recruited using the client databases of Spanish veterinary practices. We explored the presence of groups within the population using Principal Components Analysis (PCA) of the MDORS variables combined with Hierarchical Cluster Analysis (HCA). Two groups were found; Group I having a higher level of emotional involvement with their dogs compared with Group II. Binary logistic regression was used to explore demographic factors that influenced group membership. Four variables were significantly associated with membership of Group I (p<0.0001); male gender of the owner (OR = 32.36), high school level of maximum educational attainment (OR = 0.052), university level of maximum educational attainment (OR = 8.652), and owner Cantril’s score (OR = 0.807). The results obtained from this convenience sample demonstrate that different patterns of dog-ownership may be present within a population of owner-dog dyads, and that certain owner characteristics are associated with the type of owner-dog relationship. Future research could apply a similar approach to different types of sample population in order to identify specific patterns of dog-ownership.

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Section: Discussionmentioning

confidence: 99%

Highly Educated Men Establish Strong Emotional Links with Their Dogs: A Study with Monash Dog Owner Relationship Scale (MDORS) in Committed Spanish Dog Owners

et al. 2016

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“…Incorporating mobile telephones samples into population surveys has brought challenges in both sampling and participation. [ 10 , 11 ] In Australia, there is the difficulty in obtaining a representative sampling frame of mobile telephone numbers since they are rarely listed (7.3% of mobile telephone owners in South Australia are listed). [ 12 ] Several studies in Australia used a random-digit dial (RDD) list of mobile telephone numbers[ 13 , 14 ] but this is compromised as mobile telephone numbers do not include address details or geographical location.…”

Section: Introductionmentioning

confidence: 99%

Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey: An Experimental Study

et al. 2016

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Mobile telephone numbers are increasingly being included in household surveys samples. As approach letters cannot be sent because many do not have address details, alternatives approaches have been considered. This study assesses the effectiveness of sending a short message service (SMS) to a random sample of mobile telephone numbers to increase response rates. A simple random sample of 9000 Australian mobile telephone numbers: 4500 were randomly assigned to be sent a pre-notification SMS, and the remaining 4500 did not have a SMS sent. Adults aged 18 years and over, and currently in paid employment, were eligible to participate. American Association for Public Opinion Research formulas were used to calculated response cooperation and refusal rates. Response and cooperation rate were higher for the SMS groups (12.4% and 28.6% respectively) than the group with no SMS (7.7% and 16.0%). Refusal rates were lower for the SMS group (27.3%) than the group with no SMS (35.9%). When asked, 85.8% of the pre-notification group indicated they remembered receiving a SMS about the study. Sending a pre-notification SMS is effective in improving participation in population-based surveys. Response rates were increased by 60% and cooperation rates by 79%.

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“…Methods for sampling the mobile-only population, including dual-frame approaches, have received considerable attention (Brick et al, 2006;Tucker, Brick and Meekins, 2007;Tortora, Groves, and Peytcheva, 2008) as have issues of non-response and weighting (Brick et al, 2006;Kennedy, 2007). The acceptability to sample members of being interviewed on their mobile phone has also been studied, mainly with a focus on whether, and in what circumstances, it is possible to achieve good response rates (Bosnjak, Metzger, and Gräf, 2010;Fuchs, 2000;Lau, 2004;Vehovar et al, 2004). Other research has looked more generally at the feasibility and costs of interviewing on mobile phones or at technical aspects such as recording and reporting the outcomes of call attempts .…”

Section: Introductionmentioning

confidence: 99%

The Impact of Mobile Phones on Survey Measurement Error

Lynn

Kaminska

2012

Public Opinion Quarterly

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Non-Technical SummarySurvey interviews are increasingly carried out on mobile phones. There are a number of reasons to think that the experience of being interviewed on a mobile phone may differ from that of being interviewed on a fixed line phone. We are interested in whether those differences in the experience make a difference to the data that are collectedIn this paper, we present a theory of the ways in which mobile phone interviews and fixed phone interviews may differ and how these differences may affect survey measurement. We identify four key features that may vary between mobile and fixed phone interviews. These are line quality, the extent of multi-tasking amongst survey respondents, the extent to which survey respondents are distracted from the task of answering questions, and the extent to which other people are present and able to overhear what the survey respondent is saying.We then evaluate the extent to which differences in these features affect survey measures by analysing data from a randomised experiment. In the experiment, a sample of people who had both mobile and fixed phones were randomly assigned to be interviewed either on their mobile phone or on their fixed phone.Overall, we find only few and small differences in survey measures between the mobile phone interviews and the fixed phone interviews. The few differences that we find suggest that data quality may be higher with mobile phone interviews.This may be because survey respondents have greater control over whether other people are within earshot and whether others can listen in from another line. When other people can hear the responses being given -which may be more likely when responding on a fixed line -respondents may have a tendency to censor their responses to avoid socially undesirable answers. The Impact of Mobile Phones on Survey Measurement Error Peter Lynn Institute for Social and Economic Research, University of Essex Olena Kaminska Institute for Social and Economic Research, University of EssexAbstract: Mobile phone survey interviewing is becoming increasingly prevalent, so it is important to understand how it affects measurement error. We link cognitive response process theory (Tourangeau et al 2000) to theories of mode effects to build a comprehensive framework that identifies ways in which the different context of mobile interviews and differences inherent in the technology can influence survey responses. We evaluate elements of th...

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Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective, Hedonic, Social, Self-Expressive, and Trust-Related Factors

Cited by 28 publications

References 42 publications

Highly Educated Men Establish Strong Emotional Links with Their Dogs: A Study with Monash Dog Owner Relationship Scale (MDORS) in Committed Spanish Dog Owners

Highly Educated Men Establish Strong Emotional Links with Their Dogs: A Study with Monash Dog Owner Relationship Scale (MDORS) in Committed Spanish Dog Owners

Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey: An Experimental Study

The Impact of Mobile Phones on Survey Measurement Error

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