My Vocational Situation (MVS) developed by John L. Holland, Denise C. Gottfredson, and Paul Power may be downloaded by counselors or psychologists using the link at the bottom of this page. It may be used for noncommercial counseling, educational, or research purposes. The MVS contains the Vocational Identity Scale. Typical uses are (a) screening populations or clients to assess the need for vocational assistance, (b) evaluation the outcomes of vocational interventions, and (c) research.
Comprehensive norms for the Vocational Identity Scale have not been published. Users are encouraged to develop their own local norms to assist in interpretation. At present, users of MVS should consult the following articles for information on its initial development and a limited amount of normative information.
Holland, J.L., Gottfredson, D.C., & Power, P.G. (1980). Some diagnostic scales for research in decision making and personality: Identity, information and barriers. Journal of Personality and Social Psychology, 39, 1191-1200.
Holland, J.L., Johnston, J.A., & Asama, N.F. (1993). The Vocational Identity Scale: A diagnostic and treatment tool. Journal of Career Assessment, 1, 1-12.
Invitation to Join a Collaboratory
A collaboratory is a computer assisted system to help scientists work together. In this case it is a way for psychologists and counselors who use MVS or the Identity Scale to pool normative information about the Scale and other parts of MVS so that more comprehensive psychometric data can become available.
Here is how you can contribute: When you use the MVS you can send raw data or summary statistics to the collaboratory. When doing so, please make sure that the information you send contains no individually identifiable information (no names, no ID numbers that can be linked to a person). Please use the following guidelines when forwarding information:
1. Provide a description of the sample in terms of
a. Age
b. Gender (preferably provide information separately for males and females)
c. Education level or range of education levels
d. Ethnicity (percentages of different groups)
e. Other information useful in characterizing any special features of the sample.
2. Raw data; this may be any of the following:
a. Item-level data in a documented data file
b. Score-level data in a documented data file
3. OR, summary data including the following:
a. Mean
b. SD
c. N cases
d. Range of scores (lowest to highest)
4. Any other psychometric data you elect to provide
5. Your contact information. Name and email address at a minimum.
Address questions and send contributions to Gary Gottfredson, c/o Ho Lam Yiu at the following address: climate-assess@umd.edu