The use of numerical/quantitative data in qualitative research studies and reports has been controversial. Prominent qualitative researchers such as Howard Becker and Martyn Hammersley have supported the inclusion of what Becker called "quasi-statistics": simple counts of things to make statements such as "some," "usually," and "most" more…

The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…

The purpose of this explanatory single-case case study (Yin, 2003) was to investigate teachers' perceptions of a principal's leadership behavior associated with the integration of a one-to-one laptop program in a parochial secondary school. The sample included the school principal and teachers who have had at least one year of teaching experience…

This article explores the statistical methodologies used in demonstration and effectiveness studies when the treatments are applied across multiple settings. The importance of evaluating and how to evaluate these types of studies are discussed. As an alternative to standard methodology, the authors of this article offer an empirical binomial…

Two needs of Georgia State University Professional Development School Partnerships are to show increases in both student academic achievement and teacher efficacy. The Teacher-Intern-Professor (TIP) Model was designed to address these needs. The TIP model focuses on using the university and school partnership to support Georgia State University…

The evaluation of an intervention delivered across multiple treatment sites presents a unique opportunity for evaluators to gauge the manner and degree to which the "impact" of treatment varies across implementation conditions and different target populations. However, the availability of implementation data for each treatment site, while…

A mixed-method conceptual framework was developed from the literature and refined through an analysis of 57 empirical mixed-method evaluations. Five purposes for mixed-method evaluation are identified (triangulation, complementarity, development, initiation, and expansion) and analyzed using the framework of 7 design characteristics. (TJH)

Compared alternative methods for examining relationship between two constructs and estimated true relationship between social skill and depression. Data from 68 subjects suggest that multitrait-multimethod data sets, analyzed via confirmatory factor-analytic techniques, can greatly enhance theory testing and development. (Author/NB)

This study was undertaken to determine whether an evaluation model employing multiple methods of data collection and analysis might yield more useful information for improving lifelong learning courses than existing models. Major findings included: (1) learning satisfaction appears to be dependent on the instructional environment adults may be…

A confirmatory factor analysis of 61 published data sets from multitrait-multimethod studies provides estimates of the trait, method, and error variances of measures used in the social and behavioral sciences. Traits accounted for less than 50 percent of the variance among construct measures overall. Implications for testing are discussed. (SLD)

Three methods of synthesizing correlations for meta-analytic structural equation modeling (SEM) under different degrees and mechanisms of missingness were compared for the estimation of correlation and SEM parameters and goodness-of-fit indices by using Monte Carlo simulation techniques. A revised generalized least squares (GLS) method for…