Personality-Major Congruence among the Hearing-Impaired Students in Malaysian Polytechnics
Bibliographic record
Abstract
Studies in the Person-Environment fit (P-E fit) framework suggested that the greater the match between students’ personality types and their academic major operationalized as personality-major congruence, the more likely they are to succeed. Surprisingly to date, little research has been done on the hearing-impaired population. Thus, this preliminary analysis examined the students’ personality types and the degree of personality-major congruence based on Holland’s theory of vocational personalities and work environment (1997). To provide theoretical focus, gender differences in congruence measure were also investigated. Samples consisted of 26 hearing-impaired students (N=26) undergoing Special Skills Certificate in 4 Polytechnics all across Malaysia. An adapted Malay version of Holland’s Self Directed Search-Form E (SDS-E) was used to measure students’ personality types. Findings on students’ personality-major congruence were descriptively analysed and further discussed. Mann-Whitney U Test was used to analyse differences in personality-major congruence by gender. Findings indicate that gender did not play any significant roles in academic major selection among the hearing-impaired students in Malaysian Polytechnics. However, to certain degree this preliminary analysis provides general information into the largely unstudied question of how the congruence between hearing-impaired students’ personality types and academic major play important role in promoting their educational outcomes. Finally, practical and theoretical considerations were also discussed.
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.
How this classification was reachedexpand
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".