An option to collect data from dyads: Prolific
Journal: Klinik Psikoloji Dergisi (Vol.4, No. 1)Publication Date: 2020-06-25
Authors : Asuman Büyükcan-Tetik; İlke Sine Eğeci;
Page : 86-93
Keywords : dyadic data; crowdsourcing companies; interpersonal relationships; marriage;
Abstract
Improvements in dyadic data analysis methods are important for conducting studies that investigate romantic relationship dynamics and hence for developing effective interventions in the field of couple therapy. Despite these improvements in statistical methods, collecting data from dyads inherits some difficulties such as convincing male partners to participate in research. Crowdsourcing companies provide an option to overcome some of these difficulties. The aim of this article is to introduce one of the crowdsourcing companies, namely Prolific, to researchers in Turkey who are working on dyads. In this article, we first mention why we selected Prolific among several crowdsourcing companies. After explaining the reasons, collecting dyadic data via Prolific is explained step by step with screenshots. Additionally, important aspects to consider and check during prescreening, data collection and data cleaning for increasing data quality are also presented. We believe that this article, in which we discussed both advantages and disadvantages of collecting dyadic data via Prolific crowdsourcing company, would serve as a methodological resource for clinicians and researchers who aim to collect dyadic data.
Other Latest Articles
- The effects of paternal incarceration on child development and family life
- Do childhood trauma and attachment dimensions predict psychotic-like experiences in a non-clinical sample?
- The relationship between smartphone addiction, attachment and emotion regulation: The mediator role of the temperament and character traits
- The Turkish adaptation of Multidimensional Experiential Avoidance Questionnaire and its psychometric properties
- The Turkish validity and reliability study of the Proximal Antecedents to Violent Episodes Scale Victim Form (PAVEV)
Last modified: 2020-09-06 05:19:08