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There has been rising concern that many of the standardized educational and psychological tests in current use are biased when employed wi th culturally or economically disadvantaged populations (Golden , 1978). The sign ificance of this issue has been demonstrated by the appointment of an American Psychological Associa· tion committee to investigate the use of standardized testing with disadvantaged students (Cleary, Humphreys, Kendrick, & Wesman, 1975), by a federal mandate pro· hibiting the use of "biased " methods of assessment (The Education [or All Handicapped Children Act o[ 1975, Note I), and most recently by litigation relative to the use of intelligence tests to place minority school children in special education classes (Larry P. et al. vs. Wilson Rile s et al., Note 2). Peterson and Novick (1976), after reviewing anum· ber of test·bias models, proposed a regression·based approach as the most viable method for assessing selec· tion fairness within the predictive domain. Their sug· gestion was concordant with the recommendation offered by Cleary et al. (1975) that components of predictive test fairness are "directly translatable into regression statistics" (p.25). While not without some debate (Thorndike, 1971), a regression·based approach for analyzing psychological test bias is being cited with increasing frequency in the testing literature (Bossard, Reynolds, & Gutkin, 1980; Reschley & Sabers, 1979 ; Reynolds & Hartlage , 1979). This paper presents a BASIC microcomputer pro· gram that calculates a regression model test of pre· dictive bias developed by Potthoff (Note 3). The pro· gram provides bo th simultaneous and separate tests of regression slopes arid intercepts for cases in which a single independent variable is used to predict to a single dependent variable . A significant F for the simultaneous test indicates the presence of predictive bias. Separate tests of slopes and intercepts may then be conducted to determine whether the bias in prediction is constant (intercepts differ) or varies relative to the distance of scores from the mean (slopes differ). Description. The program is written in Applesoft BASIC for the Apple II microcomputer. It occupies 4.3K of RAM memory and requires 1.5K of additional RAM for every 100 subjects. Variables are mnemonic in character. The program is fully documented to facili· tate adaption to other popular microcomputers. Input consists of number of groups, as well as predictor (X) and criterion (Y) scores for each group member. Output includes group and total means fo r X and Y, three F ratios (FI = simultaneous test of slopes and inter· cepts , F2 = separate test of slopes, F3 = separate test of intercepts), and the probability value associated with each F ratio. Availability . A source list ing, complete with sample input and output , may be obtained from Leon D. Larimer, Mental Health Center, Community Hospital of the Monterey Peninsula, P.O. Box HH, Carmel , Cali· fornia 93921, upon receipt of a self·addressed envelope with 30 cents postage afftxed .

Assessing predictive test bias with the microcomputer