Using Response Times for Joint Modeling of Response and Omission Behavior

Abstract

For adequate modeling of missing responses, a thorough understanding of the nonresponse mechanisms is vital. As a large number of major testing programs are in the process or already have been moving to computer-based assessment, a rich body of additional data on examinee behavior becomes easily accessible. These additional data may contain valuable information on the processes associated with nonresponse. Bringing together research on item omissions with approaches for modeling response time data, we propose a framework for simultaneously modeling response behavior and omission behavior utilizing timing information for both. As such, the proposed model allows (a) to gain a deeper understanding of response and nonresponse behavior in general and, in particular, of the processes underlying item omissions in LSAs, (b) to model the processes determining the time examinees require to generate a response or to omit an item, and (c) to account for nonignorable item omissions. Parameter recovery of the proposed model is studied within a simulation study. An illustration of the model by means of an application to real data is provided.     

Reading Motivation in Spanish-Speaking Dual Language Learners: Comparing Two Types of Student Report

Abstract

Employing a mixed methods approach, this study examined the reading motivations of dual language learners (DLLs) in Grades 3–5 in a suburban Title I school in which the student population was predominantly Hispanic. Twenty-one students completed self-report surveys and participated in interviews focused on two intrinsic motivations (involvement and curiosity), two extrinsic motivations (competition and recognition), and self-efficacy for reading. Quantitative analyses of the survey and interview data were consistent in indicating that the students experienced these motivations to a moderate to strong degree, with the exception that interview-based scores for competition were fairly low, in comparison to both the interview-based scores for the other motivations and the survey-based score for competition. Correlations between scores on the survey and interview measures for each construct varied. Qualitative analyses illustrated the depth and variety of students’ thinking about their reading motivations, and provided insight into studying and strengthening students’ reading motivation in ways that may be particularly relevant for DLLs.