Research Methods: Issues and Research Direction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper proposes a research plan to investigate the research methods issues (i.e. research design, sampling methods, data collection methods, data analysis techniques, measurement scales, and reliability/validity tests, among others) used in business students’ thesis/dissertation works in institutions of higher learning. Specifically, the proposed research aims to help in understanding the dominant research methods used by thesis/dissertation research students in the field of business management in institutions of higher learning, shed light on possible relevant research methodology issues in business management education and proffer managerial and theoretical recommendations that will assist research methodology in business disciplines in institutions of higher learning. Among other things, the proposed investigation is expected to help in assessing the quality and relevance of business research works in higher institutions; assist in repositioning business education curricula to align with academic, regulatory and industry expectations; improve the quality and relevance of research works undertaken in business schools in institutions of higher learning; and stimulate research in cognate areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.022 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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