Longitudinal online survey in well-being research: first experiences from CRO-WELL project

Lučić, MSc. Lana; Brkljačić, Sc. Tihana; Lipovčan, Sc. Ljiljana Kaliterna

doi:10.21113/iir.v8i1.392

Cited by 2 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Online surveys render longitudinal data collection more affordable than they used to be because they eliminate most of the costs related to logistics, preparation, and administration of the questionnaire (Lučić et al, 2018; Spitz et al, 2013). Indeed, online surveys allow one to recruit a sufficiently large sample at the outset, thus ensuring that the study retains enough respondents across multiple waves (Reips, 2013).…”

Section: Designing and Recruiting For More Ambitious Surveys And Expe...mentioning

confidence: 99%

“…Indeed, online surveys allow one to recruit a sufficiently large sample at the outset, thus ensuring that the study retains enough respondents across multiple waves (Reips, 2013). This is a critical advantage because attrition is the main challenge in longitudinal surveys (Lučić et al, 2018). For example, Spurk and colleagues (2020) used an online longitudinal survey in three waves to collect data from 1,477 participants over nine months, finding diverse developmental relationships between career adaptability and proactive career behaviors (Spurk et al, 2020).…”

Section: Designing and Recruiting For More Ambitious Surveys And Expe...mentioning

confidence: 99%

See 1 more Smart Citation

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Quaquebeke

Salem²,

Dijke

et al. 2022

Organizational Psychology Review

View full text Add to dashboard Cite

Conducting organizational research via online surveys and experiments offers a host of advantages over traditional forms of data collection when it comes to sampling for more advanced study designs, while also ensuring data quality. To draw attention to these advantages and encourage researchers to fully leverage them, the present paper is structured into two parts. First, along a structure of commonly used research designs, we showcase select organizational psychology (OP) and organizational behavior (OB) research and explain how the Internet makes it feasible to conduct research not only with larger and more representative samples, but also with more complex research designs than circumstances usually allow in offline settings. Subsequently, because online data collections often also come with some data quality concerns, in the second section, we synthesize the methodological literature to outline three improvement areas and several accompanying strategies for bolstering data quality. Plain Language Summary: These days, many theories from the fields of organizational psychology and organizational behavior are tested online simply because it is easier. The point of this paper is to illustrate the unique advantages of the Internet beyond mere convenience—specifically, how the related technologies offer more than simply the ability to mirror offline studies. Accordingly, our paper first guides readers through examples of more ambitious online survey and experimental research designs within the organizational domain. Second, we address the potential data quality drawbacks of these approaches by outlining three concrete areas of improvement. Each comes with specific recommendations that can ensure higher data quality when conducting organizational survey or experimental research online.

show abstract

Section: Designing and Recruiting For More Ambitious Surveys And Expe...mentioning

confidence: 99%

Section: Designing and Recruiting For More Ambitious Surveys And Expe...mentioning

confidence: 99%

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Quaquebeke

Salem²,

Dijke

et al. 2022

Organizational Psychology Review

View full text Add to dashboard Cite

show abstract

Deconstructing Lay Definitions of Happiness: Sources, Emotions, Rationale, Essence

Brkljačić¹,

Sučić²,

Lipovčan³

et al. 2022

View full text Add to dashboard Cite

The aims of this study are to investigate definitions and explanations of the concept of happiness, and to introduce a model to classify lay definitions of happiness. This study is part of a longitudinal Croatian study on well-being (the CRO-WELL project). Answers to the open-ended question “What is happiness for you?” from a sample of adult Internet users (Nfemale= 1,036 and Nmale= 839; Mage=38) were analyzed. The definitions were classified regarding four perspectives based upon which question the respondents were assumed to have actually been answering, summarized as the RISE model: Rationale for Happiness – answering the question “How does happiness work?”; Impressions of Happiness – answering the question “How does it feel to be happy?”; Sources of Happiness – answering the question “What makes you happy?”; and the Essence of Happiness – answering the question “What is happiness?”

show abstract

Longitudinal online survey in well-being research: first experiences from CRO-WELL project

Cited by 2 publications

References 25 publications

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Deconstructing Lay Definitions of Happiness: Sources, Emotions, Rationale, Essence

Contact Info

Product

Resources

About