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Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small…
Descriptors: Business Administration Education, Error of Measurement, Error Patterns, Intervals
Feldt, Leonard S.; And Others – 1986
Rigorous comparison of the reliability coefficients of several tests or measurement procedures requires a sampling theory for the coefficients. This paper summarizes the important aspects of the sampling theory for Cronbach's (1951) coefficient alpha--a widely used internal consistency coefficient. This theory enables researchers to test a…
Descriptors: Confidence Testing, Measurement Techniques, Sampling, Statistical Analysis
Mandeville, Garrett K. – 1973
An investigation is conducted which presents extensive Monte Carlo results which indicate the conditions under which a procedure using the F distribution can be used to study the robustness of the confidence interval procedures for small samples. A review of the literature is presented. Procedure uses a binary data matrix. Results indicate that…
Descriptors: Confidence Testing, Item Sampling, Literature Reviews, Monte Carlo Methods
Lied, Terry R.; Tolliver, Don L. – 1973
Through utilization of effective sampling procedures, libraries may obtain substantial savings in terms of data collection costs. A theoretical statistical sampling model is presented and two types of random sampling techniques are empirically compared as to their effectiveness in estimating a library usage parameter. Implications are drawn for…
Descriptors: College Libraries, Confidence Testing, Data Collection, Library Research

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