Equating Error and Statistical Bias in Small Sample Linear Equating

A resampling study was conducted to compare the statistical bias and standard errors of nonequivalent-groups linear test equating in small samples of examinees. Sample sizes of 15, 25, 50, and 100 were examined. One thousand samples of each size were drawn with replacement from each of 5 archival data files from teacher subject area tests. For each test, data files from 2 parallel forms were used. Results suggest trivial levels of equating bias even with small samples, but substantial increases in standard errors as sample size decreases. Results were interpreted in terms of applications to testing situations in which small numbers of examinees are available.     

An Empirical Investigation of the Efficacy of Multimedia Instruction in Counseling Skill Development

The purpose of this study was to examine the effects of multimedia instruction on students' counseling skill development. The participants were 73 beginning‐level counselor education students (20 men and 53 women, ages ranging from 24 to 47 years). Ratings of students' pre‐ and posttest video counseling tapes were used to assess the effects of the multimedia approach. The results found that there was no statistically significant difference among the levels of students' counseling skill development across the 3 (high‐tech multimedia, low‐tech multimedia, and traditional instruction) treatment groups.     

Hybrid heuristic and mathematical programming in oil pipelines networks： Use of immigrants

We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mathematical Programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a …     

Remembering Activities Performed Versus Imagined: A Comparison of Children with Mental Retardation and Children with Normal Intelligence

CHILDREN with mental retardation and children with normal intelligence were asked to perform a series of tasks or to only imagine performing them. They were then asked to remember which tasks had been performed and which had been imagined at an immediate interview and after an eight week delay. There were no overall differences between the two groups in the number of correct responses. However, all children gave more correct responses to specific probes than to open‐ended probes and remembered activities performed better than those imagined. Performance was more accurate for both groups at the immediate interview than at the delayed interview. Responses to questions about activities neither performed nor imagined were good for both groups of children to the initial questions but decreased significantly in response to a follow‐up probe. Accuracy of responses to these misleading questions decreased over the eight week delay.     

Measuring the relationship between two questionnaires: appropriate definitions of intuitive understandings

A number of recent articles have claimed strong relationships—i.e., very high ‘proportions of shared variance’—between pairs of teaching and learning questionnaires. These claims have been the subject of debate and it has emerged that the proportion of shared variance is defined as the complement of Wilks’ lambda. The present article argues that this is not an appropriate measure for the data being analyzed. First some intuitive understandings of the situation are developed. A case study finds that the (Wilks‐based) proportion of shared variance between two questionnaires is 79%, but that the first questionnaire explains only 27% of the variance in the second and the second explains only 40% of the variance in the first. The technical literature is then considered and alternatives to the complement of Wilks’ lambda are recommended as measures of the relationship between two sets of variables.