ERIC Number: ED331808
Record Type: RIE
Publication Date: 1990-Mar-15
Regression Analysis: A Novel Way To Examine Staff Development Cost Factors.
Orlich, Donald C.; Evans, Allen D.
Few reliable data exist to provide an accurate estimate of the money invested in staff development or inservice programs in the United States for elementary and secondary school personnel. There are, however, some indicators by which costs of staff development programs at the federal level can be inferred. The problem of accurately gauging staff development costs is compounded by the lack of agreed-upon reporting standards and the lack of consistent definitions of what constitutes staff development and inservice education. This paper presents a statistical analysis of the staff development costs reported by four major studies and the implications resulting from that analysis. The statistical analysis focused on two purposes: (1) to explore the degree of correlation between reported staff development cost factors for each of the four studies individually, as well as across all four studies; and (2) to develop appropriate regression equations, based on the calculated correlation coefficients for each of the four studies. One goal of this investigation was the identification of predictive cost factors related to staff development. In this investigation four combinations of factors were found to have sufficiently strong correlations for regression equations to be determined. Implications of the findings for state legislative policy are discussed. Ten tables are appended. (IAH)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Meeting of the Pacific Northwest Research and Evaluation Conference (18th, Tacoma, WA, March 15, 1990).