This article presents an overview of various strategies and methods of engaging in qualitative data interpretations and analyses in counseling psychology. The authors explore the themes of self, culture, collaboration, circularity, trustworthiness, and evidence deconstruction from multiple qualitative methodologies. Commonalities and differences…

Data collected in school settings are inherently hierarchical. At the same time, it is becoming increasingly common for interventions to be implemented within the context of a similar multitiered intervention framework where different interventions are provided at different levels of the hierarchy, often simultaneously. This prevalence of…

The goal of this study was to analyze the characteristics in the school board decision-making process and to discover whether school board members are aware of the characteristics surrounding the school board's decision-making process. Specifically, this study examines the decision-making process of a school board in Virginia, and it provides…

We review fundamental issues in one traditional structural equation modeling (SEM) approach to analyzing longitudinal data--cross-lagged panel designs. We then discuss a number of new developments in SEM that are applicable to analyzing panel designs. These issues include setting appropriate scales for latent variables, specifying an appropriate…

Bayesian methods for analyzing longitudinal data in social and behavioral research are recommended for their ability to incorporate prior information in estimating simple and complex models. We first summarize the basics of Bayesian methods before presenting an empirical example in which we fit a latent basis growth curve model to achievement data…

Despite their increasing use, composite indicators remain controversial. The undesirable dependence of countries' rankings on the preliminary normalization stage, and the disagreement among experts/stakeholders on the specific weighting scheme used to aggregate sub-indicators, are often invoked to undermine the credibility of composite indicators.…

This is a descriptive study of Commission on Rehabilitation Counselor Certification data related to ethical complaints and violations from 1993 to 2006. The authors reviewed complaints filed against certified rehabilitation counselors involving rules from the pre-2001 Code of Ethics and standards in the current code and analyzed the ensuing…

The Candecomp/Parafac (CP) method decomposes a three-way array into a prespecified number R of rank-1 arrays, by minimizing the sum of squares of the residual array. The practical use of CP is sometimes complicated by the occurrence of so-called degenerate sequences of solutions, in which several rank-1 arrays become highly correlated in all three…

This study explores the effects of ignoring item interaction on item parameter estimation and the efficiency of using the local dependence index Q[subscript 3] and the SAS NLMIXED procedure to detect item interaction under the three-parameter logistic model and the generalized partial credit model. Through simulations, it was found that ignoring…

The NEAIR (North East Association for Institutional Research) 2012 Conference Proceedings is a compilation of papers presented at the Bethesda, Maryland conference. Papers in this document include: (1) Can a Marketing Campaign Increase Response Rates to Online Course Evaluations? (Kimberly Puhala); (2) Developing Community College Peer…

The Concurrent Courses Initiative (CCI), funded by The James Irvine Foundation from 2008 until 2011, comprised eight secondary/postsecondary partnerships across California that offered dual enrollment programs with supplemental student supports. The goal of the CCI was to expand access to supportive, career-focused dual enrollment for students…

The "PISA 2009 Technical Report" describes the methodology underlying the PISA 2009 survey. It examines additional features related to the implementation of the project at a level of detail that allows researchers to understand and replicate its analyses. The reader will find a wealth of information on the test and sample design,…

Education leaders across the country confront a growing challenge: too many students are not college ready when they leave high school. Although indicators exist to identify students at risk of dropping out of high school, few indicators of students' college readiness are currently in place, and few districts have linked indicators to practices…

We propose that the design and implementation of effective "Social Learning Analytics (SLA)" present significant challenges and opportunities for both research and enterprise, in three important respects. The first is that the learning landscape is extraordinarily turbulent at present, in no small part due to technological drivers.…

Learning Analytics can provide powerful tools for teachers in order to support them in the iterative process of improving the effectiveness of their courses and to collaterally enhance their students' performance. In this paper, we present the theoretical background, design, implementation, and evaluation details of eLAT, a Learning Analytics…