In a traditional regression-discontinuity design (RDD), units are assigned to treatment on the basis of a cutoff score and a continuous assignment variable. The treatment effect is measured at a single cutoff location along the assignment variable. This article introduces the multivariate regression-discontinuity design (MRDD), where multiple…

The purpose of this study was to compare the results of a regression discontinuity design (RDD) with those of an experimental design of a tiered vocabulary intervention for children at risk for reading disability to determine RDD's feasibility as a research methodology for this type of study. Researchers reanalyzed an archival dataset of a…

Psychological skills training and Psychological well-being (PWB) are two essential concepts not only for general mental health but also for athletic performance in sport settings. However, the effects of problems in Sport Training Scale (PSTS) on sport performance and general psychological well-being have not been systematically examined through…

Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…

The article proposes a self-study system which suggests web links to learners. The suggestions depend upon the learner's chosen competences selected from a competence structure for a particular knowledge domain. Three experiments were conducted, where the first compared the perceived usefulness and value of the links generated by different…

With research indicating substantial differences among teachers in terms of their effectiveness (Nye, Konstantopoulous, & Hedges, 2004), a major focus of recent research in education has been on improving teacher quality through professional development (Desimone, 2009; Institute of Educations Sciences [IES], 2012; Measures of Effective…

Background: It has been claimed that thematic or integrated approaches to curriculum delivery offer a range of advantages over subject-based modes of delivery including improved pupil motivation. Purpose: This study put claims regarding pupil motivation to the test, using the achievement goals framework. This contemporary approach to understanding…

The problem investigated in this research study relates to the referral rate for special education evaluations between students of teachers who were exposed to the professional development and resources associated with the federally funded Reading First program and students of teachers who were not exposed to the program. The purpose of this study…

Although it is widely known that special assumptions are needed for univariate analysis of repeated measures data, researchers seldom examine their data for violation of these assumptions. This paper reviews ways in which repeated measures analyses are usually handled and describes limitations of these methods. A design with two within subject…

PhD and EdD dissertations were compared for research design, statistics, target populations, significance of results, age of subjects, and other characteristics. Analysis of 1,007 PhD and 960 EdD dissertations found PhD dissertations had more multivariate statistics and wider generalizability. EdD dissertations were more prevalent in educational…

There are advantages to using a priori or planned comparisons rather than omnibus multivariate analysis of variance (MANOVA) tests followed by post hoc or a posteriori testing. A small heuristic data set is used to illustrate these advantages. An omnibus MANOVA test was performed on the data followed by a post hoc test (discriminant analysis). A…

The problem of choosing the most efficient design (longitudinal, mixed longitudinal, or cross-sectional) to estimate polynomial parameters for time-structured data in educational and psychological research is considered. The comparison of efficiencies shows that the assumed degree of the polynomial is crucial for selecting the most efficient…

The technique of multivariate analysis is particularly suited to educational needs assessment research because it allows for the summarization of data across any number of learners or components of educational need to produce a single numerical index of need for each skill examined. In the needs assessment process, educational or training need is…

Hypothetical data sets are used to demonstrate how canonical correlation methods subsume other commonly utilized parametric methods. Analysis of variance, analysis of covariance, multiple analysis of variance, and multiple analysis of covariance are heavily used by educational researchers. It is concluded that researchers would do well to consider…

A two-stage procedure for the analysis of pretest-posttest data was developed and illustrated. Data were reanalyzed from a quasi-experimental evaluation that assessed the effects of an intervention program to teach elementary school children aged 10 to 12 years to watch violence on television more carefully/critically. The treatment group…