01882cam a22003372u 4500001000800000005001700008007001400025008004100039035002000080037001900100040002700119088001600146091000800162100002200170245007000192260006800262300000900330520072100339530008001060533008101140650002101221650003101242650003301273650003701306650002001343650002401363655003001387710004801417856003701465984004201502525989520181012145526.0he u||024||||080220s1974 xxu ||| bt ||| | eng d 9(ericd)ED095224 aED095224bERIC aericdbengcericddMvI aETS-RM-74-7 amfm1 aLord, Frederic M.12aA Statistical Test for Cheatingh[microform] /cFrederic M. Lord. a[Washington, D.C.] :bDistributed by ERIC Clearinghouse,c1974. a9 p. aA statistical test for cheating is developed. The case of a single examinee who has taken parallel forms of the same selection test on three occasions, obtaining scores x, y, z, is used to illustrate the development. It is assumed that each score is normally distributed with the same known variance, that is, the variance of the errors of measurement. These scores are further assumed to be distributed independently, since each score differs from its mean (true) value only because of errors of measurement. Based on these assumptions, a significance test is presented to indicate evidence of cheating. Mathematical derivations for the test of significance are presented as well as a numerical example. (Author/RC) aMay also be available online. Address as at 14/8/18: uhttps://eric.ed.gov/ aMicrofiche.b[Washington D.C.]:cERIC Clearinghouseemicrofiches : positive.17aCheating.2ericd17aHypothesis Testing.2ericd17aStatistical Analysis.2ericd17aStatistical Significance.2ericd17aTesting.2ericd07aTrue Scores.2ericd 7aReports, Research.2ericd2 aEducational Testing Service, Princeton, NJ.41uhttps://eric.ed.gov/?id=ED095224 aANLcmc 2253 ED095224d77000000094984