Taxonic structure of infant reactivity: evidence from a taxometric perspective

Previously, we proposed a theoretical framework that classified infants into qualitative categories of reactivity, rather than on a continuous dimension. The present research used an objective statistical procedure (maximum covariance analysis, or MAXCOV) to determine if a qualitative latent structure, consistent with our theoretical conjectures, would be found to underlie quantitative indices of reactivity to stimuli in a sample of 599 four-month-old infants. Results of the MAXCOV analysis showed clear evidence of a latent discontinuity underlying the behavioral measures of infant reactivity. The base rate of the latent class (or taxon) was estimated at 10%. Infants within the putative high-reactivity taxon, compared with infants not in the taxon, were elevated on measures of behavioral inhibition at 4.5 years. These results provide objective empirical support for a central tenet in our theoretical model by supporting the taxonicity of infant reactivity.     

Realism about laws

This paper explores the idea that laws express relationships between properties or universals as defended in Michael Tooley's recent book Causation: A Realist Approach. I suggest that the most plausible version of realism will take a different form than that advocated by Tooley. According to this alternative, laws are grounded in facts about the capacities and powers of particular systems, rather than facts about relations between universals. The notion of lawfulness is linked to the notion of invariance, rather than to the metaphysical notion of a necessary connection.     

Childhood Peer Relationship Problems and Psychosocial Adjustment in Late Adolescence

Using prospective longitudinal data from the Christchurch Health and Development Study, this paper examined the relationship between teacher reported peer relationship problems at age 9 and psychosocial adjustment in late adolescence. Results showed that, by age 18, children with high rates of early peer relationship problems were at increased risk of externalizing behavior problems such as criminal offending and substance abuse, but were not at increased risk of anxiety disorder or major depression. Subsequent analyses revealed that these associations were largely explained by the effects of child and family factors associated with both early peer relationship problems and later adjustment. The most influential variable in explaining associations between peer relationship problems and later adjustment was the extent of children's early conduct problems. These results suggest that reported associations between early peer problems and later adjustment are noncausal, and appear to reflect underlying continuities in behavioral adjustment.     

Word-to-word variation in ERP component latencies: spoken words

Data were collected shedding light on the brain electrical activity underlying word recognition. Subjects listened to a list of 48 spoken words in six random orders under two instructional sets: first to "think about the meanings of the words," and second, to learn the list. The scalp EEG associated with hearing and identifying the words was recorded at F3, F4, Cz, P3, P4, Pz, and Oz. Standard within-subjects time-locked averaging across words showed a late negative-positive complex with N2-P3 topography, the negative component peaking around 480 msec, the positive component peaking around 830 msec. Averaging within words across subjects uncovered considerable latency variability in both components. Within-word N2 and P3 component latencies covaried with word durations and with the "recognition points" predicted for the words by the "cohort theory" of word recognition. N2 latencies corresponded closely to the "N400" effect elicited with semantically incongruous sentence-final spoken words. Implications for ERP investigations of language processing are discussed.     

Multilevel Dynamic Generalized Structured Component Analysis for Brain Connectivity Analysis in Functional Neuroimaging Data

We extend dynamic generalized structured component analysis (GSCA) to enhance its data-analytic capability in structural equation modeling of multi-subject time series data. Time series data of multiple subjects are typically hierarchically structured, where time points are nested within subjects who are in turn nested within a group. The proposed approach, named multilevel dynamic GSCA, accommodates the nested structure in time series data. Explicitly taking the nested structure into account, the proposed method allows investigating subject-wise variability of the loadings and path coefficients by looking at the variance estimates of the corresponding random effects, as well as fixed loadings between observed and latent variables and fixed path coefficients between latent variables. We demonstrate the effectiveness of the proposed approach by applying the method to the multi-subject functional neuroimaging data for brain connectivity analysis, where time series data-level measurements are nested within subjects.     

How to be a successful psychotherapist no matter what the effect on behavior: the corn soup principle

An accidental discovery in a Hospital Cafeteria led to the formulation of non-therapeutic intervention. This paper describes how therapy may be successful for the therapist, independent of changes in the client.     

Videodisc instruction in science and mathematics: Implications for media research and instructional design

This article summarizes research conducted over the last seven years on videodisc instruction in science and mathematics. Research findings, as well as the instructional design principles used to create programs, have direct implications for the general debate over media and its effects on learning. The array of studies conducted with the videodisc programs indicates that the medium is very cost effective. High quality instruction can be presented reliably and with much less human effort than traditional methods of instruction. By using videodiscs, developers are also able to exploit the strong graphic features of the medium, thus allowing carefully-designed visual images to play a key role in the instruction. Empirical support for non-text presentations along with examples of the graphics used in the science and mathematics programs are discussed.     

Cognitive restructuring treatment: A controlled trial with anxious patients

Cognitive restructuring, modified systematic desensitization and a combined treatment (cognitive behaviour modification) were compared with a no-treatment control group, using a simple randomized design. Twenty seven general anxiety out-patients selected from the hospital waiting list were used as subjects. Assessments were made at the beginning and end of treatment, and at follow-up 1 month later. The assessments included two subjective anxiety measures, the Zung self-rating anxiety scale and fear thermometer scores, a behavioural anxiety measure, a measure of cognitive anxiety as estimated by a diary recording of thinking time, fear survey schedule scores and I/E scores.Cognitive behaviour modification was found to be a superior form of treatment, relative to the no-treatment control and the other active treatment groups as assessed by FSS intensity score. The cognitive behaviour modification group showed greater improvement than the cognitive restructuring group on the diary anxiety scores. The results also demonstrated a relationship between outcome and initial severity of condition. The higher the subjects' initial scores on neurotic symptoms and subjective anxiety level, the greater the degree of positive change after treatment. Moreover, subjects with high levels of internal control prior to treatment responded most to therapy.