A method of estimating item characteristic functions using the maximum likelihood estimate of ability

A method of estimating item characteristic functions is proposed, in which a set of test items, whose operating characteristics are known and which give a constant test information function for a substantially wide range of ability, are used. The method is based on the maximum likelihood estimates of ability for a group of several hundred examinees. Throughout the present study the Monte Carlo method is used.     

A honeycomb data array for simulating visual processes using the C programming language

A method of simulating visual processes is formulated as a C language program. The two-dimensional image array has a honeycomb structure, in which each cell has six immediate neighbors. A general iterative simulation method that represents changes in time is used. The method is illustrated with tests of Horn’s (1974) model of the retinex lightness process of Land and McCann (1971) and of a modified form of that model.     

A simplified punch card method of determining sums of squares and sums of products

A simplified method of obtaining sums of squares and sums of cross products by the use of punch card equipment is described. Application of the method has revealed several advantages, which are noted.     

A simple optical method for producing two identical stimuli moving in opposite directions

A problem in experiments on adaptation to moving stimuli is the tendency of subjects to track the stimuli visually, which can complicate results. A simple optical method is described which eliminates this tendency by presenting two identical stimuli moving in opposite directions.     

A reasoning method for a paraconsistent logic

A proof method for automation of reasoning in a paraconsistent logic, the calculus C1* of da Costa, is presented. The method is analytical, using a specially designed tableau system. Actually two tableau systems were created. A first one, with a small number of rules in order to be mathematically convenient, is used to prove the soundness and the completeness of the method. The other one, which is equivalent to the former, is a system of derived rules designed to enhance computational efficiency. A prototype based on this second system was effectively implemented.     

A comparison of two methods for the administration of paradoxical intention

Recent research in the treatment of insomnia by paradoxical intention has utilized two different methods of instruction. Studies utilizing the random assignment of subjects to treatment groups employ a procedure in which clients are provided with a straight-forward explanation based on the present authors' understanding of the use of paradoxical intention with insomnia (type A administration). In contrast, controlled case studies have employed reframing, a procedure which explains the need for the paradoxical intention in a manner which best suits the specific understanding of the individual client (type B administration). The present study employed the type B method in a design employing the random assignment of clients to groups. Three additional groups (type A administration, placebo control, no-treatment control) completed the design. The results indicated that the type A method was superior to the type B procedure when the same method for administering paradoxical intention was applied to a randomized group of individuals.     

MEASUREMENT OF THE INTENSITY OF AN UNDERLYING FIGURAL PROCESS: A methodological study

K ünnapas , T. M. Measurement of the intensity of an underlying figural process. A methodological study. Scand. J. Psychol ., 1961, 2 , 174–184.—A method is proposed for studying the intensity of the figural process underlying the well-known phenomenon of figural fluctuations. A metric model is presented according to which a measure of the intensity of the underlying process is obtained in units of dispersion. The model is illustrated by an experimental example. An equation is given which is analogous to that of the damped harmonic vibration. Four parameters are involved in this equation. A technique for determining the parameters is developed. Very good agreement between theoretical and empirical scale values demonstrates the applicability of the proposed method.     

A method for the study of interstimulus similarity

A generalized method for collecting data on interstimulus similarity is presented and its special cases evaluated by use of information theory. A method of analyzing the data by the Unfolding Technique is presented which permits the study of the latent attribute structure underlying the similarity of stimuli for a single individual. This study was carried out under Office of Naval Research Contract Nonr 374 (00) NR 041-011.     

Maximally correlated orthogonal composites and oblique factor analytic solutions

Kaiser presented a method for finding a set of derived orthogonal variables which correlate maximally with a set of original variables. A simpler, more complete derivation of Kaiser's result is given and compared to related types of transformations. The transformation derived here suggests a direct method for finding the orthogonal factor solution which is maximally similar to a given oblique solution.     

A modification of the method of successive intervals

A modification of the method of successive intervals is presented which yields scale values correlating .995 with those from Thurstone's method described by Saffir. Values yielded by the present method can be obtained in 25 per cent of the time required by the older method and are shown to be, on apriori grounds, more reliable as well.     

Estimation of the correlation coefficient in contingency tables with possibly nonmetrical characters

A method of estimating the product moment correlation from the polychoric series is developed. This method is shown to be a generalization of the method which uses the tetrachoric series to obtain the tetrachoric correlation. Although this new method involves more computational labor, it is shown to be superior to older methods for data grouped into a small number of classes.     

Minimizing the number of observations: A generalization of the spearman-brown formula

A new method for determining the minimum number of observations per subject needed to achieve a specific generalizability coefficient is presented. This method, which consists of a branch-and-bound algorithm, allows for the employment of constraints specified by the investigator.     

The AB Identification Survey: Identifying Absolute versus Relative Determinants of Happiness

This article introduces a simple survey method to distinguish between two types of variables that affect happiness—type A, which exerts an absolute effect on happiness, and type B, which affects happiness only through social context. The authors validate the method by comparing its findings with the findings of a theoretically superior but less practical experimental method, and use the method to identify the AB nature of a variety of naturally-occurring variables among both college students and people with work experience. We conclude by discussing the limitation of this method as well as its potential to inform policymakers about where to invest resources in order to improve people’s happiness over time.     

A method of score conversion through item statistics

A method is presented for converting the scores on one form of a test to those on another form of the same test. The method is particularly applicable to the case where each form has been administered to a different group and the only link between the two forms is a subset of items common to both. The proposed method, called theitem method of conversion, has been applied to several tests for which other methods of conversion are available for comparison. The necessary data are limited to tests for which the total score is the criterion for item analyses. The method gives highly satisfactory results for all the tests to which it has been applied, particularly when the two groups are rather different, in which case the delta method (a different item method) is inappropriate.The authors are only two of a group, including W. H. Angoff, F. M. Lord, and M. K. Schultz, all of whom have made important contributions to this paper.     

Solutions to some nonlinear equations from nonmetric data

A method is presented to provide estimates of parameters of specified nonlinear equations from ordinal data generated from a crossed design. The analytic method, NOPE, is an iterative method in which monotone regression and the Gauss-Newton method of least squares are applied alternatively until a measure of stress is minimized. Examples of solutions from artificial data are presented together with examples of applications of the method to experimental results.This work was begun while the author was on sabbatical leave during 1970–71 at the Department of Mathematical Psychology, University of Nijmegen, the Netherlands, where discussions with E. E. Roskam on the problem were very helpful. Support was provided by Grant A0151 from the Natural Sciences and Engineering Council, Canada.     

Computer control of grating phase and movement

A method is presented which uses an on-line computer to control the spatial phase and movement of an electronically generated grating display for visual experiments. This technique minimizes CPU overhead and is inexpensive. The method is compared with several other schemes for controlling grating phase and movement.     

CD-CAT初始阶段项目选取方法

CD-CAT是CDA同CAT的相结合的产物,适用于课堂教学,是教师补救教学、学生自我学习的重要工具。作为CD-CAT重要组成部分的初始阶段项目选取方法是影响测验判准率的重要因素。本文基于现有研究和CDA的项目区分度提出了四种新的初始阶段项目选取方法:CTTID法、CDI法、CTTIDR*法和CDIR*法。通过模拟研究发现,在定长的CD-CAT下,题库质量是HD-HV下,初始阶段结束时,CTTIDR*法的PCCR比现有的T阵法高了.2999,比PWKL高了.1707,其它题库下趋势相同。整个测验结束时CTTIDR*法的判准率仍然是最高的。在变长的CD-CAT下,最大后验概率大于.7、.8、.9下,CTTIDR*法的被试平均测验长度比T阵法分别缩短了2.6170、2.2347、1.7470道题。     

The discrimination of two racial samples

Nineteen different anthropometric measures were obtained on all members of each of two racial groups. A procedure was developed and applied to the data to give maximum differentiation between the groups. The method is applicable wherever we have a large number of independent variables and a dependent variable. In such cases, the conventional methods for determining multiple regression constants are very laborious. An iteration method is presented which is more rapid than any with which the writers are familiar. The method selects in sequence those variables which together yield the largest multiple correlation with the criterion. At each step in the procedure, rapid estimates of the regression weights and the multiple correlation at that point are available.     

Test selection with integral gross score weights

A new method of test selection, which attempts to combine the merits of the ToopsL-Method with those of the Wherry-Doolittle Method, is presented. It results in integral (unit if desired) positive and/or negative (optional) weights. This flexibility makes the method applicable to all kinds of material and for both selecting items for tests and tests for batteries. An explicit solution of one test construction problem is presented. Necessary changes in method for the solution of five other types of test construction problem are presented. A few cautions are provided for potential users.