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.     

The beginning of decoding

It is widely agreed that children recognize their first words in a different way than they later decode. One hypothesis is that sight words are recognized as wholes, another that they are recognized by parts. Two experiments were devised to compare these hypotheses. In one, children were taught a sight word accompanied by a salient extraneous cue and then tested for recognition of the word and the cue. In the other, children were taught sight words, then tested for recognition of each half of the word. The children were found to recognize the cue but not the word; they recognized one half of the word but not the other. The results support the idea that first words are recognized by selective association.     

The Many Faces of Human-Machine Interaction

Interactive processes are fundamental to all forms of training and learning activity. Within educational technology increasing use is being made of both simple and sophisticated machines as instructional aids. Because of their growing applicability in all areas of educational practice it is important to understand the basic nature of the interactive processes involved in using such machines. This paper provides an overview of the techniques and mechanisms of human-machine interaction and outlines the status of some ongoing research trends in this area.     

Teacher motivation to implement an educational innovation: factors differentiating users and non-users of cooperative learning

This study applied expectancy theory to integrate the numerous and disparate explanations that researchers and educators have proposed to account for teacher resistance to implementing cooperative learning as an educational innovation. The cooperative learning implementation questionnaire (CLIQ) contained 48 items grouped under three broad motivational categories: perceived value of the innovation, expectancy of success, and perceived cost. These items accounted for 42.3% of the total variance in self-reported use of cooperative learning among 933 teachers. Expectancy of success issues were most important in differentiating users and non-users, suggesting that increased emphasis on professional development should be used to enhance teachers' beliefs that they can succeed in implementing an innovation in their own context. This may require both follow-up support and adaptation of the innovation.     

Mini-languages: a way to learn programming principles

Mini-languages are a visually intuitive, simple and powerful way to introduce students to programming. They are a good foundation for general computer science instruction, provide insight into programming for the general population, and teach algorithmic thinking. The goal of the paper is to provide an extensive review of the mini-language approach to teaching programming. For different audiences and in different countries, the authors have extensive experience in design and application of mini-languages. We outline the problems that motivate the application of this approach, present a brief history, review several existing mini-languages, and provide discussion of lessons learned. In particular, we discuss how to choose a mini-language for a particular group of students and list some requirements for a successful application of a mini- language. We conclude with a discussion of possible future directions of the mini-language approach development     

Developmental arrest at the logographic stage: impaired literacy functions in Klinefelter's XXXY syndrome

We report an analysis of reading and spelling processes in a case of developmental disability associated with a genetic anomaly (Klinefelter XXXY syndrome). The results are interpreted within the framework of a model of reading and spelling development (Frith, 1985). An almost complete absence of alphabetic functions was noted. Reading appeared to be based on a ‘logographic lexicon’ (Seymour & Elder, 1986), and spelling on a letter sequence generator which was modifiable by access to a limited store of word images.     

Attachment,Communication, and Relationship Functioning Among College Student Veterans and Nonveterans

This study examined attachment processes of college student veterans and nonveterans and further examined how veteran status and attachment style directly and indirectly predict relationship functioning. Results indicated that student veterans were more often dismissing in their attachment style but less often preoccupied than nonveteran students. Veteran status moderated the association between attachment style and dyadic consensus. The contributions of attachment and communication processes to overall relationship adjustment differed for student veterans and nonveterans.     

Predictive validity of the K-ABC for exceptional preschoolers

This 5-year follow-up study examined the predictive validity of the Kaufman Assessment Battery for Children (K-ABC) for 39 children identified during preschool as exhibiting language impairment (n = 10), behavior control deficits (n = 13), or normal language and behavioral development (n = 16). Mean age at follow-up was 9.75 years. The results generally supported the predictive validity of the K-ABC (p<.001). However, analyses by group indicated that the relationship between baseline K-ABC and follow-up K-ABC, language, and achievement measures for the language-impaired subjects was weak (p>.05). Although these results must be interpreted cautiously because of the small sample size, they suggest that for young children likely to be referred as at risk for future learning problems, the K-ABC may not be useful for prediction of later cognitive skills. Implications for practitioners are discussed.