A Three-State Study of English Learner Progress

In this three-state study, the authors estimate the magnitudes of achievement gaps between English learner (EL) students and their non-EL peers, while avoiding typical caveats in cross-sectional studies. The authors further compare the observed achievement gaps across three distinct dimensions (content areas, grades, and states) and report patterns of EL–non-EL achievement gaps within and across states. The study findings suggest that linguistic barriers and long-term EL designation may contribute to the observed achievement gaps. The findings further suggest that the differences in the stringency of state reclassification criteria may influence the reported size of the EL and non-EL achievement gaps between states.     

A Multidimensional Assessment of Teachers’ Knowledge of Algebra for Teaching: Developing an Instrument and Supporting Valid Inferences

Numerous researchers have suggested that there are multiple mathematical knowledge and skill areas needed by teachers in order for them to be effective teachers of mathematics: knowledge of the mathematics that are the goals of instruction, advanced mathematics beyond the instructional material, and mathematical knowledge that is specific to what is needed to teach students. The research reported here is about the development of a test of teachers’ knowledge in these three areas related to the teaching of algebra. The test development process is described and the results of several analyses are reported that had the goal of checking whether valid inferences can be made about the hypothesized components of teacher knowledge.     

A Structural Equation Model at the Individual and Group Level for Assessing Faking-Related Change

This article proposes a comprehensive approach based on structural equation modeling for assessing the amount of trait-level change derived from faking-motivating situations. The model is intended for a mixed 2-wave 2-group design, and assesses change at both the group and the individual level. Theoretically the model adopts an integrative approach that relates the 2 main current conceptualizations of faking, and models the amount of trait change as an individual-differences variable. The model and procedures are used in an empirical study based on 512 participants. Some of the results are interesting and warrant further research. Overall, the methodology that is proposed provides new resources for the theoretical and applied assessment of faking. In particular, it provides the practitioner with new tools for clearly assessing faking at the individual level.     

Multidimensional Factor-Analysis-Based Procedures for Assessing Scalability in Personality Measurement

Most personality tests are made up of Likert-type items and analyzed by means of factor analysis (FA). In this type of application, the fit of the model at the level of individual respondents is almost never assessed. This article proposes procedures for assessing individual fit (scalability). The procedures are intended for the analysis of multitrait personality questionnaires, and based on the multiple FA model. A general assessment procedure is described, and 2 multidimensional scalability indexes that use the chi-square and normal distribution are proposed. These indexes are derived both as residual measures and as likelihood-based person-fit measures, and their relations with some item-response, theory-based measures is discussed. The indexes are proposed mainly as first-step exploratory devices, and procedures for obtaining further information about the possible causes of misfit are also discussed. The behavior of the indexes is assessed in simulation studies, and the general procedure is illustrated by means of an empirical example.     

Combining IRT and SEM: A Hybrid Model for Fitting Responses and Response Certainties

This article proposes a model-based procedure, intended for personality measures, for exploiting the auxiliary information provided by the certainty with which individuals answer every item (response certainty). This information is used to (a) obtain more accurate estimates of individual trait levels, and (b) provide a more detailed assessment of the consistency with which the individual responds to the test. The basis model consists of 2 submodels: an item response theory submodel for the responses, and a linear-in-the-coefficients submodel that describes the response certainties. The latter is based on the distance-difficulty hypothesis, and is parameterized as a factor-analytic model. Procedures for (a) estimating the structural parameters, (b) assessing model–data fit, (c) estimating the individual parameters, and (d) assessing individual fit are discussed. The proposal was used in an empirical study. Model–data fit was acceptable and estimates were meaningful. Furthermore, the precision of the individual trait estimates and the assessment of the individual consistency improved noticeably.     

Impact of a Statewide Collaborative on Strengthening Families Through Early Care and Education

Research Findings: Research suggests that early care and education programs are most effective when they include strong components of family involvement. The Center for the Study of Social Policy recommended that early care and education programs build family-centered practices to strengthen families and reduce the incidence of child abuse and neglect. This article summarizes a statewide effort to implement this strategy, called Strengthening Families through Early Care and Education. We analyzed program self-assessments submitted by 186 early care and education programs. Analyses revealed that Head Start programs had better support systems in place for families than did “mainstream” (non–Head Start, non-accredited) early care and education programs. Results also showed that a small amount of state and local funding provided enough incentive for programs to improve their family-strengthening practices. Commitment and collaboration at the state level led to a sustainable impact by infusing “strengthening families” concepts into the early care and education field statewide.