Using item-specific instructional information in achievement modeling

The problem of detecting instructional sensitivity (item basis) in test items is considered. An illustration is given which shows that for tests with many biased items, traditional item bias detection schemes give a very poor assessment of bias. A new method is proposed instead. This method extends item response theory (IRT) by including item-specific auxiliary measurement information related to opportunity-to-learn. Item-specific variation in measurement relations across students with varying opportunity-to-learn is allowed for.This paper was presented at the 1987 AERA meeting in Washington, DC. This research was supported by grant OERI-G-86-003 from the Office of Educational Research and Improvement, Department of Education. The author thanks Michael Hollis and Chih-fen Kao for valuable research assistance, and appreciates valuable comments made by an anonymous reviewer.     

Factor structure in groups selected on observed scores

A new method is proposed for estimating factor means and factor covariances in a group of individuals selected on their observed scores. The selection variable is, for example, the total score on an admissions test. Given a factor model for the test items based on the group of test takers, we may be interested in the factor structure for those in the top quartile. The differences in factor means and covariances between this selected group and the full group gives useful information both on successful test performance and on test validity. The new method draws on the classic Pearson-Lawley selection formulas. It avoids the fallacy of factor analysis on the selected group, which would lead to incorrect estimates. The new method is applied to a simple factor structure model for the GMAT test. Although the majority of the GMAT items test verbal skills, it is found that a quantitative factor shows the greatest change in moving from average to top quartile test takers.     

Counting On Blood Donors: Increasing the Impact of Reminder Calls

Two experiments were conducted to see if blood drive attendance could be increased by altering the content of reminder calls. In Experiment 1 college students received either a standard reminder (the place, time, and necessity of eating beforehand) or a commitment-enhancing reminder in which they agreed to be "counted on". Those in the latter condition were significantly more likely (p <.007) to attend a blood drive. Experiment 2 demonstrated that an alternate wording for the commitment-enhancing message was possible; that a verbal response was necessary to ensure the commitment; and that a message enhancing altruism was not as effective. The studies suggest that asking for an additional commitment during a reminder call can appreciably increase blood drive participation rates.     

On structural equation modeling with data that are not missing completely at random

A general latent variable model is given which includes the specification of a missing data mechanism. This framework allows for an elucidating discussion of existing general multivariate theory bearing on maximum likelihood estimation with missing data. Here, missing completely at random is not a prerequisite for unbiased estimation in large samples, as when using the traditional listwise or pairwise present data approaches. The theory is connected with old and new results in the area of selection and factorial invariance. It is pointed out that in many applications, maximum likelihood estimation with missing data may be carried out by existing structural equation modeling software, such as LISREL and LISCOMP. Several sets of artifical data are generated within the general model framework. The proposed estimator is compared to the two traditional ones and found superior.The research of the first author was supported by grant No. SES-8312583 from the National Science Foundation and by a Spencer Foundation grant. We wish to thank Chuen-Rong Chan for drawing the path diagram.     

Things are always more complicated than you think: An open systems approach to the organizational effects of computer-automated technology

The effects of computerized office and factory automation are examined. An open systems framework is used to organize this literature. The review suggests that the benefits of technology are derived from theintermediate effects of the technology on organizational processes (the task structure, personnel system, formal structure, and informal organization). Thus, it is misleading to examine thedirect effects of computerized technology on organizational outcomes such as profits and satisfaction. Some of the effects of technology on the organizational processes are inevitable (e.g., changes in informal communication patterns). Others are determined less by the technology than by management decisions. The key to achieving success with computerized technology is matching changes in organizational processes to each other, as well as to the technology and the larger environment of the organization.Ann Majchrzak is currently Associate Professor of Human Factors at the Institute of Safety and Systems Management at the University of Southern California. She has recently written two books on the subject of technological change. Katherine J. Klein is an Assistant Professor of Industrial and Organizational Psychology in the Psychology Department of the University of Maryland at College Park.     

Three-dimensional perspective drawing of two-dimensional functions with microcomputers

In this paper, we present a BASIC program for Apple II series computers that allows the user to obtain perspective drawings of two-dimensional functions of known analytical expression. Also, we outline a procedure for obtaining perspective representations of two-dimensional arrays of data using the same program. The program should run on any computer with graphics mode with only slight modifications in the graphics commands.     

Meaning and learning: Response to Moerk

In response to Moerk (1986, Developmental Review, 6, 365–385) the following points are discussed: (a) Semantic and conceptual development must be conceived in terms of systems that undergo developmental change, (b) Objects are viewed as embedded in events and as being conceptualized first within a syntagmatic and later a paradigmatic system, (c) While the nature of the input to the child is important, its effects cannot be considered independently of the state of the child's conceptual and linguistic system. (d) The neurological considerations discussed by Moerk are not relevant to the particular developmental issues discussed in my book.     

CO-WORKER SOCIAL SUPPORT IN A WORKSITE SMOKING CONTROL PROGRAM

We evaluated the effects of adding a social support component to a worksite controlled smoking treatment program. Twenty-four participants were randomly assigned to either a controlled smoking or a controlled smoking plus partner support condition. Within a multiple baseline across behaviors design, smokers in both conditions made efforts to achieve sequential 50% reductions in: (a) nicotine content of brand smoked, (b) number of cigarettes smoked per day, and (c) percentage of each cigarette smoked. Self-monitoring records, laboratory analyses of spent cigarette butts, and carbon monoxide determinations indicated that both conditions were effective in producing significant reductions in each of the three target behaviors and in carbon monoxide levels. All participants who quit smoking during the program maintained their abstinence at a 6-month follow-up, and those who did not quit were smoking less at follow-up than they had at pretest on all dependent variables. However, few differences were observed between controlled smoking and controlled smoking plus partner support conditions either during treatment or at the 6-month follow-up. Results are discussed with regard to previous worksite studies, future directions for research on social support, and variables that may have mediated treatment outcome.