Customer Satisfaction of Mobile-Internet-Users: An Empirical Approximation for the Case of Spain
Why this work is in the frame
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Bibliographic record
Abstract
This paper studies the mobile Internet services in Spain. It deals mostly with overall consumer satisfaction as well as with some of its attributes. The study is based on Micro data from a survey conducted by the Spanish Center for Sociological Research (CIS, 2009). The analysis shows that communication quality and cost are the main attributes of the service involved in the overall satisfaction of the individual.The main model allows us to analyze to what extent different service providers generate different levels of satisfaction of individuals when controlling for other relevant variables. In this regard, statistically significant differences have been found for both overall satisfaction and for satisfaction with any other of its attributes. Taking into account that the dependent variable is somewhat ordinal, the model is estimated by three alternative methods: ordinary least squares (OLS), ordered probit and ordered logit. The three techniques produce fairly similar results
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it