The use of inter-rater reliability (IRR) methods may provide an opportunity to improve the transparency and consistency of qualitative case study data analysis in terms of the rigor of how codes and constructs have been developed from the raw data. Few articles on qualitative research methods in the literature conduct IRR assessments or neglect to…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

The purpose of this study was to analyze how school psychologists engaged in problem analysis during problem-solving consultation. Five aspects of the problem analysis process were examined: 1) the types of questions participants asked during problem identification, 2) the types of data participants requested, 3) the frequency of requests for each…

This article discusses the importance of mixed-methods research, in particular the value of qualitatively driven mixed-methods research for quantitatively driven domains like educational accountability. The article demonstrates the merits of qualitative thinking by describing a mixed-methods study that focuses on a middle school's system of…

This article examines the clinician/researcher relationship, suggests directions for improving the relationship, and discusses avenues for transferring research information to clinical practice. An eight-step model for transferring research studies to practice is adopted and three steps are targeted for discussion and illustration. A case study…

Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)

Discusses logic and interpretation problems inherent in doing quantitative syntheses of single-case research. Addresses the meta-analytic method of using percentage of nonoverlapping data, highlighting special concerns related to withdrawal designs, sensitivity to variability in behavior, social significance of behavior change, and variables that…

This article describes a qualitative research approach (in-depth phenomenological interviewing) and illustrates, through the example of an actual study, its potential for helping institutions of higher education understand their students. It argues that progress in understanding college student outcomes, such as persistence, has been retarded by…

A central dilemma of portfolio assessment is that as the richness of the data available to readers increases, so do the challenges involved in ensuring acceptable reliability among readers. Drawing on empirical and theoretical work in discourse analysis, ethnomethodology, and other fields, we argue that this dilemma results, in part, from the fact…

Data from nine Michigan elementary, middle, and high schools highlight the challenges and common strategies found in the use of student assessment data to meet public demands for accountability. The information gathered from assessment tools varies by frequency and type. Educators have, historically, underutilized data to guide practice because…

Studied ratings by Australian counseling psychology graduate students (N=38) and practicing counseling psychologists (N=40) of four hypothetical clients' mental health. Presented "good,""bad," and "neutral" information on each client and asked subjects to rate clients' on Global Assessment Scale. Found bad information…