Organizational Change Questionnaire–Climate of Change, Processes, and Readiness: Development of a New Instrument
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
ABSTRACT On the basis of a step-by-step procedure (see T. R. Hinkin, 1998 Hinkin, T. R. 1998. A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1: 104–121. [Crossref], [Web of Science ®] , [Google Scholar]), the authors discuss the design and evaluation of a self-report battery (Organizational Change Questionnaire–Climate of Change, Processes, and Readiness; OCQ–C, P, R) that researchers can use to gauge the internal context or climate of change, the process factors of change, and readiness for change. The authors describe 4 studies used to develop a psychometrically sound 42-item assessment tool that researchers can administer in organizational settings. More than 3,000 organizational members from public and private sector organizations participated in the validation procedure of the OCQ–C, P, R. The information obtained from the analyses yielded 5 climate-of-change dimensions, 3 process-of-change dimensions, and 3 readiness-for-change dimensions.
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 | 0.000 | 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 | 0.000 |
| 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