ArticleFrontiers in psychology2020
Use of Data Mining to Determine Usage Patterns of an Online Evaluation Platform During the COVID-19 Pandemic.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Determining the efficiency of data analysis systems in predicting COVID-19 infected cases.Journal of family medicine and primary care · 2022Article
- Community Knowledge about Autism Spectrum Disorder in the Kingdom of Saudi Arabia.International journal of environmental research and public health · 2022Article
- Nature Scenes Counter Mental Fatigue-Induced Performance Decrements in Soccer Decision-Making.Frontiers in psychology · 2022Article
- Community Knowledge of and Attitudes towards COVID-19 Prevention Techniques in Saudi Arabia: A Cross-Sectional Study.International journal of environmental research and public health · 2021Article
- The Prevalence of Mental Distress and Social Support among University Students in Jordan: A Cross-Sectional Study.International journal of environmental research and public health · 2021Article
- Exploring Factors and Associate Responses for Anxiety in the Coronavirus Disease 2019 Pandemic: A Web-Based Survey in Japan.Frontiers in psychology · 2021Article
- Data Mining and Polar Coordinates in the Analysis by Gender of Finishing Behaviors in Professional Basketball Pick and Roll.Frontiers in sports and active living · 2021Article
- Mixed Methods in Tactical Analysis Through Polar Coordinates and Function Estimation: The Transition Play in ACB Basketball.Frontiers in sports and active living · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MenPas is a psychosocial assessment platform developed by the University of Malaga in 2008. There has been a significant increase in data traffic during the period of confinement by COVID-19 (March and April '20) compared to the same period in the previous year. The main goal to achieve in this work is to determine the patterns of use of this platform on both period of time. So, we want to respond to the following question: So, we the following question: Has the COVID-19 Pandemic changed the pattern of the Menpas users? In order to respond it, cluster analysis techniques (Data Mining) have been used to classify people taking surveys into quotient sets (cluster). This is a multivariate technique for dividing data into sets to that are as homogeneous as possible within themselves and heterogeneous among themselves. Specifically, the K-Means algorithm has been used for this analysis, which is based on the evaluation of the distance between data and the average of each variable. So, it is recommended to discover patterns or relationships among the data. Specifically, the use of the following questionnaires has been analyzed: Competitive State Anxiety Inventory-2 (CSAI-2), State Trait Anxiety Inventory (STAI), Profile of Mood State (POMS), Resilience Scale (RS), Sport Performance Psychological Inventory (IPED), Maslach Burnout Inventory (MBI) and Self-concept Form-5 (AF-5). The analyses have shown changes in cluster formation between 2019 and 2020 based on the variables gender, age, marital status or physical practice. Therefore, the analyses carried out have been sensitive to determine several profiles of people using the MenPas platform because there are changes in the characteristics of the user groups that have carried out the analyzed tests.
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