The Role of Statistics and Research Methods in the Academic Success of Psychology Majors
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
Comprehension of statistics and research methods is crucial to understanding psychology as a science ( APA, 2007 ). However, psychology majors sometimes approach methodology courses with derision or anxiety ( Onwuegbuzie & Wilson, 2003 ; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005 ); consequently, students may postpone enrollment ( Onwuegbuzie, 2004 ). We examined the importance of methodology course performance (i.e., grade) and timing of enrollment in these courses for the academic success of psychology majors. After controlling for number of courses taken, relevant American College Test (ACT) scores, and prior Grade Point Average (GPA), we found that methodology course grade and timing of enrollment predicted upper-division psychology GPA. In addition, methodology course grade predicted performance on an assessment of knowledge in psychology. We discuss implications of these results for teaching and advising.
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 | 0.018 | 0.010 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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