Reliability And Validity Analysis Of The Extended SERVQUALIn Higher Educational Institution
Bibliographic record
Abstract
The present study is focuses on the reliability testing of the instrument used in the data collection using the calculation of Cronbach’s Alpha. Individual reliability of each construct was measured using the SPSS. The tool used to check the validity of the scale is done by the content validity ratio. The descriptive statistics was performed to measure the gap between the perceived quality and student expectation. This was the pilot study performed for the development of the measurement and structural model in the future research. The finding of the present study is the seven dimensions of extended SERVQUAL was measured i.e., reliability, responsiveness, Assurance, Empathy, tangibility, teaching quality and learning outcome. The study found that the value of cronbach alpha was more than the threshold limit i.e., 0.70 and Content Validity ratio(CVR) was found to be more than the threshold limit. Different parameter where used to evaluate the student satisfaction. The seven dimension were taken as the extended SERVQUAL in which highest gap was found to be learning outcome and minimum gap found in the teaching quality. The co-relation between the dimensions was studied, there is the positive correlation in the items of one variable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".