Online Quantitative Research Methodology: Reflections on Good Practices and Future Perspectives
Intelligent Computing(2022)
Abstract
The methodology of quantitative research in psychology was essentially addressed in the presence to investigate certain dimensions in training such as motivation, perception, etc. Since 2019, after the pandemic, it has been necessary to move the surveys online as new tools. The researcher would like to investigate this phenomenon of sampling, research designs of the instruments validated in the last three years which is 2019–2021. Investigating these concerns has allowed researchers to perform systematic studies on the effects of online teaching on learning, social participation, and feeling of community. The specific setting in which the phenomena were investigated altered the theoretical framework of the research designs. The techniques and methods of data gathering are fundamentally innovated once the research issue has been conceived. Even the tools used to measure the variables involved in the researched processes are improvised or subjected to rewriting or alteration. The population has changed: subjects are sampled in different ways, and there could be a considerably higher number of subjects to search. As a result, there's a chance for new inaccuracies that weren't present in face-to-face surveys or previous online research. As a result, the statistical analysis of the data must take care to avoid reasoning errors. Validity, as well as the processes’ reliability and replicability, remain top priorities in these researches. Furthermore, the methodologies of experimental or quasi-experimental research, the correlation research approach, the questionnaire survey, the interview, and participant observation have all required redefining of their internal characteristics. In light of the diversity of the landscape investigated, the researcher made a comprehensive evaluation of the literature on quantitative research technique in connection to online training.
MoreTranslated text
Key words
Online quantitative research, Data gathering, Sampling, Psychology quantitative research
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined