Abstract
This is an account of further work on a rating scale for depressive states, including a detailed discussion on the general problems of comparing successive samples from a ‘population’, the meaning of factor scores, and the other results obtained. The intercorrelation matrix of the items of the scale has been factor‐analysed by the method of principal components, which were then given a Varimax rotation. Weights are given for calculating factor scores, both for rotated as well as unrotated factors. The data for 152 men and 120 women having been kept separate, it is possible to compare the two sets of results. The method of using the rating scale is described in detail in relation to the individual items.
Keywords
Related Publications
The five‐factor personality inventory: cross‐cultural generalizability across 13 countries
In the present study, we investigated the structural invariance of the Five‐Factor Personality Inventory (FFPI) across a variety of cultures. Self‐report data sets from ten Euro...
Reliability and Construct Validity of the Maslach Burnout Inventory in a Sample of University Students
A sample of 72 university students was administered the Maslach Burnout Inventory (MBI). Item responses were intercorrelated and subjected to a principal factors analysis follow...
Teacher Efficacy: A Study of Construct Dimensions
This study examined the structure of a construct generally labeled teacher efficacy. A sample of 342 prospective and experienced teachers was administered an efficacy questionna...
Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results
Abstract We present a clinimetric assessment of the Movement Disorder Society (MDS)‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS). The MDS‐UDPRS...
Factor Analysis as a Tool for Survey Analysis
Factor analysis is particularly suitable to extract few factors from the large number of related variables to a more manageable number, prior to using them in other analysis suc...
Publication Info
- Year
- 1967
- Type
- article
- Volume
- 6
- Issue
- 4
- Pages
- 278-296
- Citations
- 8376
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1111/j.2044-8260.1967.tb00530.x