Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation

Latent profile analysis (LPA) has become a popular statistical method for modeling unobserved population heterogeneity in cross-sectionally sampled data, but very few empirical studies have examined the question of how well enumeration indexes accurately identify the correct number of latent profiles present. This Monte Carlo simulation study examined the ability of several classes of enumeration indexes to correctly identify the number of latent population profiles present under 3 different research design conditions: sample size, the number of observed variables used for LPA, and the separation distance among the latent profiles measured in Mahalanobis D units. Results showed that, for the homogeneous population (i.e., the population has k = 1 latent profile) conditions, many of the enumeration indexes used in LPA were able to correctly identify the single latent profile if variances and covariances were freely estimated. However, for a heterogeneous population (i.e., the population has k = 3 distinct latent profiles), the correct identification rate for the enumeration indexes in the k = 3 latent profile conditions was typically very low. These results are compared with the previous cross-sectional mixture modeling studies, and the limitations of this study, as well as future cross-sectional mixture modeling and enumeration index research possibilities, are discussed.     

Measuring Pharmacy Student Attitudes Toward Prayer: The Student Prayer Attitude Scale (SPAS)

The objective of this study was to develop and validate an instrument to assess the attitude of student pharmacists toward prayer in general and in particular as it relates to their academic performance. To fulfill the study objective, faculty from seven colleges of pharmacy located at Christian universities collaboratively developed the Student Prayer Attitude Scale (SPAS). The items were used to assess the attitudes of student pharmacists toward prayer as well as the effects of prayer on personal lives and academic performance. Faculty investigators asked 1,563 students to complete the survey and received 677 valid responses. A principal components analysis with promax rotation was conducted and revealed a two-factor structure: (a) general attitude toward prayer and (b) specific attitude regarding the impact of prayer on academic performance. Analysis of variance was used to compare student responses by religious identity. Students identifying as atheist or agnostic were significantly different in their responses than students from theistic religions; however, the responses of students from various theistic religions were not significantly different from one another. Faculty concluded that SPAS is a reliable tool for measuring student attitudes toward prayer. The use of such a tool could help faculty tailor educational opportunities to allow pharmacy students to explore prayer more fully and be aware of its impact on the patients they serve.     

Developing preservice teachers’ sensitivity and confidence: a service-learning experience at a homeless shelter

ABSTRACT

This article describes how early childhood preservice teachers can develop sensitivity toward and confidence in working with children who are homeless through a service learning project. The 14 weeks intervention provided an opportunity for undergraduate early childhood teacher candidates to gain real-life experience working with among the most vulnerable of all children—those who are homeless. Results of this project suggest that through implementing art integrated literacy activities with children in a homeless shelter, teacher candidates alter their deficit views of homelessness and at the same time develop confidence in their ability to work with homeless children and their families.     

Families and Educators Together: Raising Caring and Peaceable Children

This article presents key information on the substance of developing family–educator partnerships to promote caring in children and families during the early childhood years. Specific strategies are presented and discussed with special emphasis on honoring parents and families in their journey to promote caring and peaceable children.     

Chinese middle school teachers’ preferences regarding performance evaluation measures

Teacher performance evaluation currently is receiving unprecedented attention from policy makers, scholars, and practitioners worldwide. This study is one of the few studies of teacher perceptions regarding teacher performance measures that focus on China. We employed a quantitative dominant mixed research design to investigate Chinese teachers’ preferences for teacher performance measures and the possible reasons for their preferences. Considering the quantitative results, the surveyed Chinese teachers identified fulfillment of additional roles, collaboration with faculty and staff, and students’ test scores as the most important measures for performance evaluation. Qualitatively, the most important measures that the surveyed teachers reported were the teacher’s morality, workload, and students’ test scores.     

Examining Elementary Students’ Development of Oral and Written Argumentation Practices Through Argument-Based Inquiry

Argumentation, and the production of scientific arguments are critical elements of inquiry that are necessary for helping students become scientifically literate through engaging them in constructing and critiquing ideas. This case study employed a mixed methods research design to examine the development in 5th grade students’ practices of oral and written argumentation from one unit to another over 16 weeks utilizing the science writing heuristic approach. Data sources included five rounds of whole-class discussion focused on group presentations of arguments that occurred over eleven class periods; students’ group writings; interviews with six target students and the teacher; and the researcher’s field notes. The results revealed five salient trends in students’ development of oral and written argumentative practices over time: (1) Students came to use more critique components as they participated in more rounds of whole-class discussion focused on group presentations of arguments; (2) by challenging each other’s arguments, students came to focus on the coherence of the argument and the quality of evidence; (3) students came to use evidence to defend, support, and reject arguments; (4) the quality of students’ writing continuously improved over time; and (5) students connected oral argument skills to written argument skills as they had opportunities to revise their writing after debating and developed awareness of the usefulness of critique from peers. Given the development in oral argumentative practices and the quality of written arguments over time, this study indicates that students’ development of oral and written argumentative practices is positively related to each other. This study suggests that argumentative practices should be framed through both a social and epistemic understanding of argument-utilizing talk and writing as vehicles to create norms of these complex practices.     

Developing local oral reading fluency cut scores for predicting high‐stakes test performance

This study evaluated the classification accuracy of a second grade oral reading fluency curriculum‐based measure (R‐CBM) in predicting third grade state test performance. It also compared the long‐term classification accuracy of local and publisher‐recommended R‐CBM cut scores. Participants were 266 students who were divided into a calibration sample (n = 170) and two cross‐validation samples (n = 46; n = 50), respectively. Using calibration sample data, local fall, winter, and spring R‐CBM cut scores for predicting students’ state test performance were developed using three methods: discriminant analysis (DA), logistic regression (LR), and receiver operating characteristic curve analysis (ROC). The classification accuracy of local and publisher‐recommended cut scores was evaluated across subsamples. Only DA and ROC produced cut scores that maintained adequate sensitivity (≥.70) across cohorts; however, LR and publisher‐recommended scores had higher levels of specificity and overall correct classification. Implications for developing local cut scores are discussed.