Beyond the broom cupboard: teaching assistants’ reflections upon the wider impact of their specialist dyslexia training

Whilst the government-commissioned Rose Report (2009) on provision and support for dyslexic learners in England called for the deployment of more specialist dyslexia teachers in mainstream schools, the reality seems to be that the job of teaching literacy to children with dyslexia is falling to teaching assistants (TAs). As a result, specialist training courses for TAs have been developed in England. Using the Coldwell and Simkins Training Impact Framework, the present study examines TAs participants’ perceptions of the impact of two such local authority-based training programmes, not just in terms of the impact upon their individual practice, but also in terms of their perceptions of the wider impact of their status as a trained ‘expert’ upon their schools’ policies, culture and practice. ‘Enabling’ and ‘blocking’ factors influencing this wider impact are identified, and implications for the deployment of specialist TAs and the design of their training courses are discussed.     

Do complex models increase prediction of complex behaviours? Predicting driving ability in people with brain disorders

Prediction of complex behavioural tasks via relatively simple modelling techniques, such as logistic regression and discriminant analysis, often has limited success. We hypothesized that to more accurately model complex behaviour, more complex models, such as kernel-based methods, would be needed. To test this hypothesis, we assessed the value of six modelling approaches for predicting driving ability based on performance on computerized sensory-motor and cognitive tests (SMCTests?) in 501 people with brain disorders. The models included three models previously used to predict driving ability (discriminant analysis, DA; binary logistic regression, BLR; and nonlinear causal resource analysis, NCRA) and three kernel methods (support vector machine, SVM; product kernel density, PK; and kernel product density, KP). At the classification level, two kernel methods were substantially more accurate at classifying on-road pass or fail (SVM 99.6%, PK 99.8%) than the other models (DA 76%, BLR 78%, NCRA 74%, KP 81%). However, accuracy decreased substantially for all of the kernel models when cross-validation techniques were used to estimate prediction of on-road pass or fail in an independent referral group (SVM 73-76%, PK 72-73%, KP 71-72%) but decreased only slightly for DA (74-75%) and BLR (75-76%). Cross-validation of NCRA was not possible. In conclusion, while kernel-based models are successful at modelling complex data at a classification level, this is likely to be due to overfitting of the data, which does not lead to an improvement in accuracy in independent data over and above the accuracy of other less complex modelling techniques.     

The Role of Leisure Interest and Engagement for Subjective Well-Being

During the last decades, the association between leisure engagement and subjective well-being (SWB) has been examined. Yet, the role of the interest in specific leisure activities for SWB has been neglected. Thus, we examined whether the pure leisure engagement or the opportunity to realize the longing to pursue a leisure activity is linked to well-being. A sample of 402 participants completed an online survey about interests and the frequency of engagement in diverse leisure activities as well as physical, cognitive, and affective well-being. The study revealed that leisure engagement showed stronger associations with all aspects of well-being than leisure interest per se. More specifically, interest and engagement in social activities and sports showed robust associations with different facets of well-being. Furthermore, a high individual fit between leisure interest and engagement across diverse activities incrementally predicted SWB beyond leisure engagement per se. Analyses of nonlinear associations indicated that too much leisure engagement was associated with lower levels of SWB, but high interest in leisure activities buffered this effect. Thus, the intrinsic motivation to leisure activities may play an important role for well-being in addition to the sheer leisure engagement.     

Are you talking to the future me? The moderator role of future self‐relevance on the effects of aging salience in retirement savings

Increasing the salience of aging has been shown to be a promising strategy to promote young adults' interest in saving for retirement. However, the processes responsible for this effect are still largely unknown. We hypothesize that increased savings choices will only occur when participants are also engaged in self‐relevant thoughts about their own future. Participants were exposed to a fictitious website advertising financial products. Study 1 (n = 78; M_age = 20.87) primed age salience and future self‐relevance orthogonally and showed that priming aging only caused increases in retirement investment decisions when self‐relevance was also high. Study 2 (n = 91; M_age = 23.40) tested whether the effects of age priming were due specifically to age or to a broader focus on the future. The study confirmed that investment decision effects are specific to exposure to the aging prime and not merely priming the future. The effects were also specific to investment in retirement funds and not just depositing money in a checking account. These findings have both theoretical and practical implications for the psychology of aging and retirement planning.     

Phonological context in speech perception

Speech perception can be viewed in terms of the listener’s integration of two sources of information: the acoustic features transduced by the auditory receptor system and the context of the linguistic message. The present research asked how these sources were evaluated and integrated in the identification of synthetic speech. A speech continuum between the glide-vowel syllables /ri/ and /li/ was generated by varying the onset frequency of the third formant. Each sound along the continuum was placed in a consonant-cluster vowel syllable after an initial consonant /p/, /t/, /s/, and /v/. In English, both /r/ and /l/ are phonologically admissible following /p/ but are not admissible following /v/. Only /l/ is admissible following /s/ and only /r/ is admissible following /t/. A third experiment used synthetic consonant-cluster vowel syllables in which the first consonant varied between /b/ and /d and the second consonant varied between /l/ and /r/. Identification of synthetic speech varying in both acoustic featural information and phonological context allowed quantitative tests of various models of how these two sources of information are evaluated and integrated in speech perception.     

Completeness and Decidability Results for Some Propositional Modal Logics Containing “Actually” Operators

The addition of actually operators to modal languages allows us to capture important inferential behaviours which cannot be adequately captured in logics formulated in simpler languages. Previous work on modal logics containing actually operators has concentrated entirely upon extensions of KT5 and has employed a particular model-theoretic treatment of them. This paper proves completeness and decidability results for a range of normal and nonnormal but quasi-normal propositional modal logics containing actually operators, the weakest of which are conservative extensions of K, using a novel generalisation of the standard semantics.     

Perceptions of stranger and acquaintance rape: the role of benevolent and hostile sexism in victim blame and rape proclivity

In Studies 1 and 2, after reading an acquaintance-rape but not a stranger-rape scenario, higher benevolent sexist but not hostile sexist participants blamed the victim significantly more. In Study 2, higher hostile sexist but not benevolent sexist male participants showed significantly greater proclivity to commit acquaintance (but not stranger) rape. Studies 3 and 4 supported the hypothesis that the effects of benevolent sexism and hostile sexism are mediated by different perceptions of the victim, as behaving inappropriately and as really wanting sex with the rapist. These findings show that benevolent sexism and hostile sexism underpin different assumptions about women that generate sexist reactions toward rape victims.     

Understanding variability in binary and continuous choice

Excessive variability in binary choice (categorical judgment) can take the form of probability matching rather than the normatively correct behavior of deterministically choosing the more likely alternative. Excessive variability in continuous choice (judgment rating) can take the form of underconfidence, understating the probability of highly likely events and overstating the probability of very unlikely events. We investigated the origins of choice variability in terms of noise prior to decision (at the evidence stage) and at the decision stage. A version of the well-known medical diagnosis task was conducted with binary and continuous choice on each trial. Noise at evidence stage was reduced by allowing the subjects to view historical summaries of prior relevant trials, and noise at the decision stage was reduced by giving the subjects a numerical score on the basis of their continuous choice and the actual outcome. Both treatments greatly reduced variability. Cash payments based on the numerical score had a less reliable incremental effect in our experiment. The overall results are more consistent with a Logit model of decision than with a simple criterion (or maximization) rule or a simple probabilitymatching rule.