Predicting VR Acceptance Based on Race, Gender, Education, Work Status at Application, and Primary Source of Support at Application.

MLA

Wilson, Keith B., et al. “Predicting VR Acceptance Based on Race, Gender, Education, Work Status at Application, and Primary Source of Support at Application.” Rehabilitation Counseling Bulletin, vol. 45, no. 3, 1 Jan. 2002, pp. 132–42. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=eric&AN=EJ669305&authtype=sso&custid=ns315887.

APA

Wilson, K. B., Alston, R. J., & Harley, D. A. (2002). Predicting VR Acceptance Based on Race, Gender, Education, Work Status at Application, and Primary Source of Support at Application. In Rehabilitation Counseling Bulletin (Vol. 45, Issue 3, pp. 132–142).

Chicago

Wilson, Keith B., Reginald J. Alston, and Debra A. Harley. 2002. “Predicting VR Acceptance Based on Race, Gender, Education, Work Status at Application, and Primary Source of Support at Application.” Rehabilitation Counseling Bulletin. Vol. 45. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=eric&AN=EJ669305&authtype=sso&custid=ns315887.