ArticleHeliyon2022
Development of a sociometric web application to study the relationship among secondary school learners.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research aimed to develop a sociometric web application to study the relationship among Thai secondary school learners. The first phase studied conditions and needs for a sociometric web application by interviewing 8 teachers (100% females) who have teaching experiences between 3-38 years (Mean = 16.63, SD = 11.58). The second phase developed a sociometric web application which was reviewed by 5 experts and received the overall highest level of appropriateness. Then, the application was piloted with 34 teachers and learners. Overall, the sociometric web application and user manual are suitable for use. The third phase studied results for the sociometric web application usage. Samples included teachers and secondary school learners. The experiment was conducted in a large group of 6 teachers (100% females) having teaching experiences between 4-22 years (Mean = 8.67, SD = 7.03) and students in 5 classrooms, totaling 204 participants (88.73% of response rate, 60.2% females, 39.8% males, age range = 10-23 years old, Mean = 15.72, SD = 1.67) selected via a purposive sampling method. The research tools were the observation form, interview forms, and opinion questionnaire regarding sociometric web application usage. Data were analyzed by qualitative data and descriptive statistics, including frequency distributions, percentages, means, standard deviations, t-test, crosstabs, and chi-square. The teachers' and learners' opinions on web application usage showed an overall highest level of suitability. Furthermore, results concerning the consistency of the sociometric status analysis and the teachers' opinions showed overall average consistency at 87.21%. Finally, the students' sociometric status was divided into five student groups: (1) average (34.3%); (2) popular (24%); (3) neglected (19.1 %); (4) rejected (15.7 %); and (5) controversial (6.9%). Students' gender and academic performance were related to the sociometric status with a .05 level statistical significance (χ2 = 17.742, sig = .001, χ2 = 23.831, sig = .002), respectively. This signifies that students of different genders and academic performances had different sociometric statuses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.