Should the Third Reminder be Sent? The Role of Survey Response Timing on Web Survey Results

Rao, Kumar; Pennington, Julia R.

doi:10.2501/ijmr-2013-056

Cited by 17 publications

(25 citation statements)

References 15 publications

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“…Although many academic studies report higher survey response rates, in studies that share some of the characteristics of our survey (e.g., longer email surveys to employees), we found response rates as low as .1% (Crouch, Robinson, & Pitts, 2011). Based, however, on other research that is similar to ours, such as Rao and Pennington's (Rao & Pennington, 2013) response rate of 11.2%, and on guidance from professional survey companies, who advise clients to expect large surveys to generate a response rate of 10% -20% (Constant Contact, 2013), we expected our response rate to fall between 10% -20%.…”

Section: Participants and Procedurescontrasting

confidence: 54%

The Relationship between Work and Home: Examination of White and Blue-Collar Generational Differences in a Large U.S. Organization

Moore¹,

Grunberg²,

Krause³

2014

PSYCH

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The popular press and some practitioner and empirical articles have emphasized work-related generational differences, describing the recent influx of "Gen Y" employees as being less work-centric, more likely to value work and home, and more concerned with achieving work-life balance than "Gen X" or "Baby Boomer" employees. In the current paper, we examine these constructs, focusing on whether such generational differences, if present, extend equally to "white" and "bluecollar" employees. Survey data from 3171 white and blue-collar employees of a large U.S. company revealed that these characterizations were principally found among the white-collar, Gen Y employees. We discuss possible reasons for these findings and question the degree to which generational differences versus workplace experiences shape employee's work-home relationship.

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Section: Participants and Procedurescontrasting

confidence: 54%

The Relationship between Work and Home: Examination of White and Blue-Collar Generational Differences in a Large U.S. Organization

Moore¹,

Grunberg²,

Krause³

2014

PSYCH

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“…Sending out varying rounds of reminders in our survey (1–3 rounds, with a mean of 2) might have led to response bias by missing individuals who did not respond to the initial invite plus first reminder, but would have responded to follow-up reminders. Empirical evidence, however, identified the initial invite as key, with low return ( 35 ) and lower data quality ( 36 ) in reminders, but no additional recruitment of actual “non-responders” with different features compared with respondents from the first invite ( 37 ). One might argue that the moderate response rate (compared with earlier surveys on the topic ( 11 , 12 )), missing information about non-respondents, and the respondents’ high comfort level with EBM suggest the presence of participation bias ( 11 ), where those with experience in EBM were more likely to participate.…”

Section: Discussionmentioning

confidence: 99%

Evidence needs, training demands, and opportunities for knowledge translation in social security and insurance medicine: A European survey

Kunz¹,

Verbel²,

Weida-Cuignet³

et al. 2021

J Rehabil Med

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Objective To perform a European survey of the evidence needs and training demands of insurance medicine professionals related to professional tasks and evidence-based practice. Design International survey. Subjects Professionals working in insurance medicine. Methods Experts designed an online questionnaire including 26 questions related to 4 themes: evidence needs; training demands; evidence-seeking behaviour; and attitudes towards evidence-based medicine. Descriptive statistics were presented by country/conference and the total sample. Results A total of 782 participants responded. Three-quarter of participants experienced evidence needs at least once a week, related to mental disorders (79%), musculoskeletal disorders (67%) and occupational health (65%). Guidelines (76%) and systematic reviews (60%) were the preferred types of evidence and were requested for assessment of work capacity (64%) and prognosis of return-to-work (51%). Evidence-based medicine was thought to facilitate decision-making in insurance medicine (95%). Fifty-two percent of participants felt comfortable finding, reading, interpreting, and applying evidence. Countries expressed similar needs for reviews on typical topics. Conclusion This study reveals evidence gaps in key areas of insurance medicine, supporting the need for further research, guidelines and training in evidence-based insurance medicine. Importantly, insurance medicine professionals should recognize that evidence-based practice is crucial in producing high-quality assessments. LAY ABSTRACT Evidence-based medicine (EBM) means the consideration of research findings when taking decisions in clinical medicine. This approach has become standard in health and social care. Since it is less clear to what degree EBM is applied in insurance medicine, European insurance physicians performed a joint survey among colleagues in 8 countries and 2 conferences. More than 700 professionals participated. Half of respondents experienced a need at least once a week to look for guidelines and systematic reviews about work capacity assessments related to mental or musculoskeletal disorders. Almost all thought that EBM would facilitate decision-making. Not all felt competent in finding, reading, interpreting, and applying research evidence. Overall, findings were similar across countries. These results illustrate important evidence gaps in insurance medicine, supporting the need for further research and guidelines. Importantly, professionals should recognize that evidence-based practice is crucial in producing high-quality assessments.

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“…This evidence suggests a low likelihood of common method variance. Surveys may be prone to non-response bias, in that the analysis is based solely on data from respondents that choose to participate (Rao and Pennington, 2013). This phenomenon can affect the study by orienting the results toward participants with a hidden bias regarding or interest in the study.…”

Section: Common Methods Variance and Response Biasmentioning

confidence: 99%

A cognitive social capital explanation of service separation distress

Goode

2021

JSM

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Purpose Service separation distress arises when service consumers worry that a useful service may become unavailable. This paper aims to integrate two theoretical explanations of ongoing service use, being service continuance and relationship commitment and a common foundation of cognitive social capital. Design/methodology/approach This study conducts an online survey of 245 cloud service consumers, which to test the research model is used. Findings This paper finds that relationship commitment mediates the service continuance explanation in explaining service separation distress. Research limitations/implications While service features are important, they are less important than the consumer’s perceived relationship with the service in promoting perceived service separation distress. Contrary to expectations, the finding identified the service relationship as the dominant explanation for service separation distress. Practical implications Jeopardy to the consumer-provider relationship can create greater anxiety and distress to consumers than a disruption that threatens service features alone. Adding service features may not reduce customer separation distress regarding the service. Social implications The unified cognitive social capital lens on service separation suggests that consumers value service provider relationships (e.g. commitment and trust) over service features. A stronger social relationship with the consumer, in turn, strengthens the perceived service offering. Originality/value This is among the first studies to unify two explanations of service continuance using social capital and to empirically identify how this explanation affects service distress.

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Should the Third Reminder be Sent? The Role of Survey Response Timing on Web Survey Results

Cited by 17 publications

References 15 publications

The Relationship between Work and Home: Examination of White and Blue-Collar Generational Differences in a Large U.S. Organization

The Relationship between Work and Home: Examination of White and Blue-Collar Generational Differences in a Large U.S. Organization

Evidence needs, training demands, and opportunities for knowledge translation in social security and insurance medicine: A European survey

A cognitive social capital explanation of service separation distress

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