artificial-intelligence
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Finding the Right Sample Size for One-Sample T-Tests: Examples and Applications
When planning a study to check if a sample’s average significantly differs from a known reference value, it’s essential to choose the right sample size. With a sample size that’s too small, there’s a risk of missing a significant difference (underpowered study). A sample that’s too large, however, can lead to wasted time and resources. Using G*Power software, researchers can calculate the ideal sample size to reliably detect meaningful differences.… Click to Read the Full Article
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College Students’ Satisfaction Rating on NEU’s Student Services (Part I: Registrar’s Office)
The study aimed to evaluate students’ satisfaction with the University Registrar’s Office services. This was measured using a questionnaire on venue, staff, office procedure, equipment, service delivery, and service provider competence. A sample of 200 randomly selected students gave a 91.5% response rate. The results showed a positive rating overall, with differences in satisfaction across year levels found to be not significant. The average satisfaction rating was determined to be… Click to Read the Full Article
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College Students’ Satisfaction Rating on NEU’s Student Service(Part II: Guidance Office)
Satisfaction rating on the services rendered by Guidance Office was measured using 6-item questionnaire with 7-point Likert scale and was analyzed using parametric statistics because the data satisfy the assumptions of normality and of homogeneity of variances. The survey was distributed to 208 randomly selected College students and yielded a response rate of 98.1%. Respondents were asked to rate Guidance Office concerning its office/venue (VENUE), staff/workers (STAFF), office procedure (PROCED),… Click to Read the Full Article
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Satisfaction Survey of NEU’s Science Fair
Satisfaction survey of a Science Fair was examined using Two-Way ANOVA. The dependent variable (AVG) indicated a respondent’s mean score on a 7-item, 5-point Likert scale (1-Very Poor, 2-Poor, 3-Satisfactory, 4-Good, 5-Excellent). The seven items rated were Venue/place (VENUE), Inventiveness (INVENT), Commercial Viability (IMPACT), Educational Value (EDUC), Audio-Visual Presentation (PRESENT), Organization (ORGANIZE), and Overall Experience/Satisfaction (OVERALL). The independent variables were GENDER (MALE, FEMALE) and GROUP (STUDENT – student, EXHIB -… Click to Read the Full Article
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Binary Logistic Regression Modeling for Predicting Potential Offenders of Discipline Rules in an Integrated School
Two binary logistic regression models (Model C and Model D) were selected from four alternative models developed to determine if a combination of gender, religion, and grade level could significantly predict potential violators of school discipline rules. Grades 7 to 12 students enrolled during the Academic Year 2022-2023 in a private Integrated School in Quezon City, Philippines composed the target population of the study. The 753 sample cases used was… Click to Read the Full Article
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A Satisfaction Survey Analyzed as Nonparametric Mixed ANOVA Design with Aligned Rank Transformation
Satisfaction survey data from a University’s Science Fair was analyzed using nonparametric Mixed ANOVA (with aligned rank transformation). The dependent variable was the satisfaction score and the independent variables (between-subjects factors) were GENDER (male, female) and GROUP (student, exhibitor, and faculty). The variable ITEM (with seven items) was the within-subjects factor. A seven-item, 1-5 Likert scale (1-Very Poor, 2-Poor, 3-Satisfactory, 4-Good, 5-Excellent) questionnaire was administered to 162 respondents, randomly selected… Click to Read the Full Article