Discusses (1) the use of chi square significance tests in social science and educational literature; (2) chi square in relation to sample size; (3) field difficulties with chi square analysis as exemplified in Milwaukee County Juvenile Court data; and (4) alternative methods for using chi square in field research. (Author/GC)

A method is presented for determining sample size that will achieve a pre-specified bound on confidence interval width for the interrater agreement measure "kappa." The same results can be used when a pre-specified power is desired for testing hypotheses about the value of kappa. (Author/SLD)

Discusses the effects of sampling scheme selection on the admissibility of log-linear models for multinomial and product multinomial sampling schemes for prospective and retrospective sampling. Notes that in multinomial sampling, marginal frequencies are not fixed, whereas for product multinomial sampling, uni- or multidimensional frequencies are…

This is a book about quality and how to control quality through deliberate actions on the part of the professionals developing and implementing the instances of instruction available at an organization. Quality control theory favors no particular learning philosophy and is only directed towards aspects of how, what, where and when measurements are…

Considers a class of estimation procedures for the factor model. The procedures are shown to yield estimates possessing the same asymptotic sampling properties as those from estimation by maximum likelihood or generalized last squares, both special members of the class. General expressions for the derivatives needed for Newton-Raphson…

Confidence intervals are an important tool to indicate uncertainty of estimates and to give an idea of probable values of an estimate if a different sample from the population was drawn or a different sample of measures was used. Standard symmetric confidence intervals for proportion estimates based on a normal approximation can yield bounds…

This simple method for simulating the Central Limit Theorem with students in a beginning nonmajor statistics class requires students to use dice to simulate drawing samples from a discrete uniform distribution. On a chalkboard, the distribution of sample means is superimposed on a graph of the discrete uniform distribution to provide visual…

After the terms "qualitative research" and "quantitative research" are defined, this paper considers why it makes sense to integrate these approaches, at least under some circumstances. This discussion necessitates attention to the issue of whether quantitative and qualitative research are inextricably linked to incompatible…

Two types of statistical analyses of rating scale data are discussed. An example, with its accompanying mathematical calculations for each type, is presented; and the advantages and disadvantages of each method are compared. It is judged that the little-known and seldom-used Kolmogorov-Smirnov one-sample test should be reexamined because of its…

Time sampled observations of the cooperative behavior of two samples of 31 preschool children were analyzed for stability (that is, short term reliability of behavior) over a 2-month period using Cronbach's generalizability coefficient. Observations were made during free play periods on nursery school settings. The observation schedule required…

Gas flow patterns at a sampling nozzle are described in this presentation for the 12th Conference on Methods in Air Pollution and Industrial Hygiene Studies, University of Southern California, April, 1971. Three situations for sampling velocity are illustrated and analyzed, where the flow upstream of a sampling probe is: (1) equal to free stream…

This study in parametric test theory deals with the statistics of reliability estimation when scores on two parts of a test follow a binormal distribution with equal (case 1) or unequal (case 2) expectations. In each case biased maximum-likelihood estimators of reliability are obtained and converted into unbiased estimators. Sampling distributions…

This note shows that, under conditions specified by Levin and Subkoviak (TM 503 420), it is not necessary to specify the reliabilities of observed scores when comparing completely randomized designs with randomized block designs. Certain errors in their illustrative example are also discussed. (Author/CTM)

Comments (TM 503 706) on an earlier article (TM 503 420) concerning the comparison of the completely randomized design and the randomized block design are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified. (See also TM 503 708). (Author/CTM)

This note continues the discussion of earlier articles (TM 503 420, TM 503 706, and TM 503 707), comparing the completely randomized design with the randomized block design. (CTM)