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ERIC Number: ED074140
Record Type: RIE
Publication Date: 1973-Feb
Pages: 8
Abstractor: N/A
Reference Count: 0
Further Studies of Linear Prediction Following Matrix Sampling.
Kleinke, David J.
In a post mortem study, it is demonstrated that linear prediction is as effective as computing a negative hyper-geometric distribution for estimating test norms following matrix sampling from a total test with a highly skewed score distribution, provided the same prediction coefficient is used for all examinee groups. It is also demonstrated empirically and algebraically that using a coefficient unique to each examinee group produces distributions of predicted total-test scores with "insufficient" variance. Implications for measurement practice and statistical theory are discussed. (Authors)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented to joint session of American Educational Research Association and National Council on Measurement in Education (New Orleans, La., Feb. 25-March 1, 1973)