Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach

Inferences and conclusions drawn from model fitting analyses are commonly based on a single “best fitting” model. If model selection and inference are carried out using the same data model selection, uncertainty is ignored. We illustrate the Type I error inflation that can result from using the same data for model selection and inference, and we then propose a simple bootstrap-based approach to quantify model selection uncertainty in terms of model selection rates. A selection rate can be interpreted as an estimate of the replication probability of a fitted model. The benefits of bootstrapping model selection uncertainty are demonstrated in growth mixture analyses of data from the National Longitudinal Study of Youth, and a 2-group measurement invariance analysis of the Holzinger–Swineford data.     

Critical social theory and transformative learning: evidence in pre‐service teachers’ service‐learning reflection logs

This paper reports on the opportunities for transformational learning experienced by a group of pre‐service teachers who were engaged in service‐learning as a pedagogical process with a focus on reflection. Critical social theory informed the design of the reflection process as it enabled a move away from knowledge transmission toward knowledge transformation. The structured reflection log was designed to illustrate the critical social theory expectations of quality learning that teach students to think critically: ideology critique and utopian critique. Butin’s lenses and a reflection framework informed by the work of Bain, Ballantyne, Mills and Lester were used in the design of the service‐learning reflection log. Reported data provide evidence of transformational learning and highlight how the students critique their world and imagine how they could contribute to a better world in their work as a beginning teacher.     

Key experiences in student teachers’ development

This study focuses on the question of why student teachers stay in teaching even after a profound ‘practice shock,’ i.e., a shock that in itself seems to characterize the complex and emotionally challenging first year of student teaching. Using a line drawing technique, the study investigates student teachers’ views of their first year of teaching by examining how they picture their development, their key experiences during that development, and the ways in which they coped with these experiences. The results suggest that most student teachers perceive their own development not as a steadily ascending line as is often suggested by research on the development of teachers’ professional identity. Instead, we now surmise that most student teachers view their development as a path with highs and lows that include transformative moments or periods. This relates to the idea of transformative learning and to theories on identity development that suggest people need a crisis for identity development to occur. During such a crisis, we saw that student teachers explicitly reconsidered their connections to teaching and that this reconsideration led to a regained motivation for teaching. It appeared that supervisors or mentor teachers played a significant role in first‐year (student) teachers’ regaining motivation for teaching.     

Latent Class Detection and Class Assignment: A Comparison of the MAXEIG Taxometric Procedure and Factor Mixture Modeling Approaches

Taxometric procedures such as MAXEIG and factor mixture modeling (FMM) are used in latent class clustering, but they have very different sets of strengths and weaknesses. Taxometric procedures, popular in psychiatric and psychopathology applications, do not rely on distributional assumptions. Their sole purpose is to detect the presence of latent classes. The procedures capitalize on the assumption that, due to mean differences between two classes, item covariances within class are smaller than item covariances between the classes. FMM goes beyond class detection and permits the specification of hypothesis-based within-class covariance structures ranging from local independence to multidimensional within-class factor models. In principle, FMM permits the comparison of alternative models using likelihood-based indexes. These advantages come at the price of distributional assumptions. In addition, models are often highly parameterized and susceptible to misspecifications of the within-class covariance structure.

Following an illustration with an empirical data set of binary depression items, the MAXEIG procedure and FMM are compared in a simulation study focusing on class detection and the assignment of subjects to the latent classes. FMM generally outperformed MAXEIG in terms of class detection and class assignment. Substantially different class sizes negatively impacted the performance of both approaches, whereas low class separation was much more problematic for MAXEIG than for the FMM.     

Critical service-learning: promoting values orientation and enterprise skills in pre-service teacher programmes

Experiential learning pathways within education programmes such as Service-learning are a means to enrich the learning of pre-service teachers. As a pathway, Service-learning provides value-oriented learning focused on inclusion, diversity, and difference. This paper adopts critical social theory to examine how, along with these values, critical Service-learning promotes a deeper comprehension of values such as empathy, civic responsibility, social justice, and equity. Our paper also studies how, along with values, enterprise skills develop when pre-service teachers adopt a self-responsible, decision-making approach to implementing inclusion, social justice, and equity. Fifty-one data sets from interviews, questionnaires, and reflection logs with two groups of students over two semesters were examined to comprehend the unique experiences of students as they navigated through values and enterprise skills. The study concludes by reiterating the value of incorporating nontraditional ways of learning that align with the traditional pedagogical offerings for pre-service teachers.     

Performance of Factor Mixture Models as a Function of Model Size,Covariate Effects,and Class-Specific Parameters

Abstract

Factor mixture models are designed for the analysis of multivariate data obtained from a population consisting of distinct latent classes. A common factor model is assumed to hold within each of the latent classes. Factor mixture modeling involves obtaining estimates of the model parameters, and may also be used to assign subjects to their most likely latent class. This simulation study investigates aspects of model performance such as parameter coverage and correct class membership assignment and focuses on covariate effects, model size, and class-specific versus class-invariant parameters. When fitting true models, parameter coverage is good for most parameters even for the smallest class separation investigated in this study (0.5 SD between 2 classes). The same holds for convergence rates. Correct class assignment is unsatisfactory for the small class separation without covariates, but improves dramatically with increasing separation, covariate effects, or both. Model performance is not influenced by the differences in model size investigated here. Class-specific parameters may improve some aspects of model performance but negatively affect other aspects.     

Inhibitory control in toddlerhood – the role of parental co-regulation and self-efficacy beliefs

Inhibitory control is considered a core component of self-regulation. Tremendous advances in early childhood have been attributed to brain maturation processes as well as environmental influences, such as parental co-regulation. Parental self-efficacy represents a key correlate of parenting behaviors and is associated with child outcomes. However, research on the interplay of parental co-regulation, parental self-efficacy and child’s inhibitory control in early childhood is scarce. In this study we explore to what extent parents’ positive (PCR) and negative co-regulation (NCR) and domain-specific (DSSE) and domain-general (DGSE) self-efficacy beliefs assessed at pre-test (T1) predict toddlers’ inhibitory control six weeks later (T2). Furthermore, we examine whether NCR mediates the link between DSSE and parent-reported inhibitory control. Results are based on data from 90 parent-child dyads (children’s age: 24–35 months). Parents’ PCR, NCR, DSSE and DGSE are assessed via questionnaire. Children’s inhibitory control is measured via the Inhibition Scale of the Behavior Rating Inventory of Executive Functions (BRIEF-IN) and a Snack Delay task. Multiple regression analyses reveal that parents’ NCR and DSSE, but not PCR and DGSE, significantly predict BRIEF-IN at T2 (controlling for covariates). The indirect effect from parents’ DSSE on BRIEF-IN via NCR is not confirmed by the data. No associations are observed regarding children’s performance in the Snack Delay task. The present study adds new and important evidence that parents’ DSSE and NCR independently predict (parent-reported) inhibitory control in toddlerhood. Parenting interventions should thus not only address parenting practices but target parental self-efficacy beliefs as an important factor, too.     

Taking a ‘reality’ check: Expanding pre-service teachers' views on pedagogy and diversity

The outcomes of a two-pronged ‘real-world’ learning project, which aimed to expand the views of pre-service teachers about learning, pedagogy and diversity, will be discussed in this paper. Seventy-two fourth-year and 22 first-year students, enrolled in a Bachelor of Education degree in Queensland, Australia, were engaged in community sites outside of university lectures, and separate from their practicum. Using Butin's conceptual framework for service learning, we show evidence that this approach can enable pre-service teachers to see new realities about the dilemmas and ambiguities of performing as learners and as teachers. We contend that when such ‘real-world’ experiences have different foci at different times in their four-year degree, pre-service teachers have more opportunities to develop sophisticated understandings of pedagogy in diverse contexts for diverse learners.