In response to an argument by Baird, Andrich, Hopfenbeck and Stobart (2017), Michael Kane states that there needs to be a better fit between educational assessment and learning theory. In line with this goal, Kane will examine how psychometric constraints might be loosened by relaxing some psychometric "rules" in some assessment…

This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…

This article responds to and reflects upon the articles in this special issue. Specifically, it deals with the usage of theory in each of the articles, what we might see, as examples of re-descriptive usage in autonomous theorizing. The articles utilize different theories and varying intellectual resources--Foucault and Deleuze (Richard Niesche),…

In her valuable commentary, Kerkhoff raises several issues, both empirical and conceptual. In particular, she argues that morphophonological regularities represented in associative memory might suffice for the acquisition of French grammatical gender. She thus questions whether a default implemented as a rule is necessary and whether it is even…

Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) have provided an impressively comprehensive conceptual and empirical psychometric analysis of 22 modern-day citation measures. Their analyses show that although numerous measures have been developed to ameliorate perceived limitations of Hirsch's (2005) "h" index (which is…

In his commentary, Foster (2010) made arguments at 2 levels, offering a broad critique of statistical or methodological approaches in developmental psychology in general together with critical comments that applied only to our recent article (Dogan, Stockdale, Widaman, & Conger, 2010). Certain criticisms by Foster aimed at the field as a whole…

Describing, explaining, and discussing various modern indices of scholarly impact as accomplished by Ruscio, Seaman, D'Oriano, Stremlo, and Mahalchik (this issue) is highly commendable, as such measures get increasingly important in hiring and promotion decisions. The author agrees with almost all points made in the target article, except the…

The conceptual structure account of semantic memory (CSA; L. K. Tyler & H. E. Moss, 2001) claims that feature correlation (the degree to which features co-occur) and feature distinctiveness (the number of concepts in which a feature occurs) interact with domains of knowledge (e.g., living vs. nonliving) such that the distinctive features of…

Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…

We argue that the report by Templer and Arikawa contains misleading conclusions and is based upon faulty collection and analysis of data. The report fails to hold up for quality of data, statistical analysis, and the logic of science.

The richness of the information available in cross-classification tables, compared to the information conveyed in the typical correlation coefficient, is emphasized in this paper. The kinds of information to be found in cross-classification tables are described, and several examples of the use of cross-classification patterns in research are…

Many researchers, including Buriel (EJ 187 987), incorrectly compared the results in each study with null hypotheses of zero differences between means or zero population correlations. Instead, a test of difference between the mean differences in the two samples or the direct comparison of the two sample correlations is required. (Author/CP)

The author contends that model misspecification can occur even after researchers have selected the generally most appropriate class of methods, or general linear model techniques. It is suggested specifically that canonical correlation analysis may provide more meaningful results, as compared with regression, particularly if analysis is augmented…

Compares three statistical methods for measuring the weight of examination components in determining the ranking of overall results. The authors demonstrate the limitations in using standard deviation and part-with-whole correlations and show how covariance techniques provide the best indicators of component weights. Theoretical objections to the…

Argues the usefulness of algebraic and topological mathematical models and general principle formulation for educational research. Applies an algebraic model to relate learning to the pace of instruction. Formulates two broad principles: the Quantitative and Qualitative Teaching Principles (more teaching produces more learning; and learning is…