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In this research, the Turkish validity and reliability study of the "Child Health Internet Research Parent Scale (CSSAI)" was conducted and it was aimed to gain the scale to the Turkish society. The data of this research, which was carried out in methodological design, were collected by reaching the parents via the online data collection platform in June-August 2021. To the study, 355 parents who met the study criteria were included. The language validity analysis of the scale was performed with the translation-retranslation method, and the content validity was performed with expert opinions. The Content Validity Index (CGI) was found to be 0.960. It was determined that the scale formed as the result of the translations showed parallelism with the original scale. The scale was applied to the sample group after the pilot application was done. As the result of the internal consistency analysis of the scale, it was found that the item-total score correlations in the scale were sufficient and the Cronbach's alpha coefficient was 0.916. Our research result showed that the "Child Health Internet Research Parent Scale (CSSAI)" is a valid and reliable tool for evaluating parents' internet use in health research. [ABSTRACT FROM AUTHOR]

Positivist academic studies are, generally, based on testing of theories and hypotheses; hence the testing process requires the existence of participants and their characteristics. Towards this end, in the past, students were most frequently used through convenience sampling method as participants in academic research, but in recent years, Internet has become popular as a source for supplying participants and a data collection method. In this context, the popularity of Crowdsourcing (CS) concept, which is coined by Jeff Howe in 2006, is increasing in recent years. Together with increasing popularity, several sampling, statistical and other scientific problems have been subjected to various debates across academic circles. In simple terms, crowdsourcing may be defined as the collection of data or information sources required within the context of a particular study from a big number of people or crowd. In the context of social sciences, crowdsourcing may be described as the collection of the needed data from various Internet data collection platforms (such as Amazon Mechanical Turk, Survey Monkey, TryMyUI, Facebook, Qualtrics, etc.) with huge number of participants or workers. But data collected through these platforms may pose many problems such as sampling issues, reliability and validity problems, representativeness, statistical analysis and the generalizability of findings. The purpose of this study is, through a critical literature review technique, to examine and discuss the pros and cons of data collected through CS approach and the appropriateness of this type of data in academic research purpose and its implications for the outcomes of scientific endeavor. In the context of this research, discussions and assessments are based on the data collection platform of Amazon's Mechanical Turk platform which is discussed in the literature frequently during the last several years. [ABSTRACT FROM AUTHOR]