Showing papers on "Matching (statistics) published in 1969"

Individual matching with multiple controls in the case of all-or-none responses.

Abstract: The one-to-one individual matching principle of the matched pairs design is generalized to R-to-one individual matching in the case of all-or-none responses and fixed sample size procedures. A test is given; its asymptotic power function is derived; the selection of the matching ratio (R) is considered in relation to the unit costs in the two comparison groups; and finally, procedures for sample size determination are described.

Response Matching in Interpersonal Information Exchange

Abstract: Response matching was studied in dyads as subjects exchanged information about themselves by selecting descriptive statements prescaled for intimacy. One of the members of the dyad was a confederate, who consistently selected statements at one of five different intimacy levels: low, moderately low, moderate, moderately high and high. The findings showed that subjects significantly matched the intimacy level of the confederate's disclosures. The results shed additional light on the role of idiosyncratic patterns of self-disclosure as a variable altering the social penetration process as delineated by Altman & Haythorn.

Individual performances in a single‐cue probability learning task

Abstract: Bjorkman, M. Individual performances in a single-cue probability learning task. Scand. J. Psychol. 1969, 10, 113–123. —Inference behavior was studied in a 2 times 2 cue-criterion task. Fifty subjects were distributed on five conditions varying in cue validity and base rate. They were studied individually with respect to four cognitive strategies: matching, maximizing, double matching and differential maximizing. The utilization coefficients of the average subject had a tendency to ‘overshoot’ when the cue validity was high and to ‘undershoot’ when the validity was low. Double matching and differential maximizing were the most common strategies. Cognitive activity is interpreted as a compromise between various type performances.

Regression and the Matching Fallacy in Quasi-Experimental Research

Abstract: 'ABSTRACT This self-cons ,.Pc'd end self-instructional unit is intended for use by evaluation aT:d acod'elopment personnel and. by studentt in introductory research ae.d evaluation courses. The unii. contains a discussion of the regression employing graphic illustrations with actual data. The uses: ic introduced to the regression.effect in the single group pretest-posttests design, after which he responds to mastery test instructional exercises. The second pa illustrates how the regression effect confounds the matched -'pair tyl)e of design and this, too, is followed by mastery test instructional exercises. The user should be familiar with the basic statistical concepts of mean, standard deviation, correlation, and z-scores. (Author/SE)

Dimensional preference and shift option

Abstract: Dimensional preference of first grade children was determined by one of four modifications of a matching type preference test. The data suggested that contradictory conclusions regarding the relationship between dimensional preference and shift performance reported in past studies are not due to use of a matching, as opposed to a discrimination type preference test, per se. Further study of the matching type preference test was recommended.

Covariate matching: a methodological note

Abstract: Summary.-Inefficient use of data is noted as a difficulty with experimental matching of Ss in addition to those cited by previous authors. Analysis of covariance is shown to circumvent experimental matching problems with varying degrees of effectiveness depending on usage. Observation of experimental effects both with and without covariare ad jusunents is suggested as a maximally effective procedure.

A general method for matching arbitrary logical statements in mechanized retrieval systems

Abstract: A general method for matching specifications in mechanized retrieval systems is presented It is based on the principle that, with the initiation of the matching operation, to each characteristic or descriptor a unique code consisting of a power of two in binary notation is assigned These codes may, if so desired, be interpreted as implicit weight coefficients of the descriptors They are used in matching operations between sets of characteristics The matching process produces during its progress criteria as to the relations between involved sets, ie, a numerical criterion of relevance of the answer to the query, which may be utilized to control the course of the operation In a second step, new secondary codes are derived mechanically from those assigned initially The function of the secondary codes is to transform the original statement into the second canonical form, consisting of the disjunction of mutually exclusive basic conjunctions or propositions These secondary codes are employed to generate by logical multiplication, addition, and negation unique code representations for arbitrary compound statements or propositions, which representations in their turn are employed for matching the statements The process generates criteria in analogy to those obtained in the first step of matching sets of characteristics which now permit the control of the matching operations between arbitrary propositions It should be mentioned that no significance is assigned a priori to the codes Their relative significance is restricted entirely to the matching operation actually in progress

Computer-based man-job matching: Current practice and applicable research

Abstract: IN THIS article, we describe and compare current practice and applicable research in the area of computer-based man-job matching systems. Our purpose, besides being informative, is to point out that a good deal of applicable research has not been incorporated, for the most part, into the current systems and that this state of affairs is undesirable and unncessary. A comparison of current practice with the applicable research indicates that future computer-based matching systems will be much more sophisticated than those presently operating. This is not to suggest that the present systems should not have commenced operation until more sophisticated systems, based on the most recent research, were ready for implementation. There are at least four reasons why the contrary is true.