Child, Program, and Family Ecological Variables in Early Intervention

This study is based on a conceptual framework which emphasized the importance of viewing early intervention outcomes in relation to both program and nonprogram variables. Three broad classes of independent variables were included in the framework child, program, and family ecology. The unique and combined contributions of these three sets of variables to the prediction of three indices of intervention outcome was assessed through regression techniques. As much as 68% of the variance in children's post-intervention developmental age (DA2) was explained by the combined influence of all three classes of variables. All three classes of variables again contributed uniquely to the prediction of parental satisfaction with the intervention, explaining 45% of the variance. The three classes of variables explained 36% of the variance in children's rate of development during the intervention (RDI), although the contribution of the program class was very minimal. In addition to ascertaining the contributions of sets of variables, the importance of individual variables within sets was also examined. Results from both types of analysis underscored the important role of nonprogram variables in the determination of both child and parental outcomes. The implications of these findings for the design and evaluation of early intervention are discussed.     

A comparison of the Rescorla-Wagner and Pearce models in a negative patterning and a summation problem

In two experiments, we examined two related conditioning problems previously investigated by Red-head and Pearce (1995a) and Pearce, Aydin, and Redhead (1997). Experiment 1 involved an A+, B+, C+, AB+, AC+, BC+, ABC2 discrimination. The Rescorla-Wagner model predicts that response to AB, AC, and BC will be greater than that to A, B, and C at asymptote, whereas the Pearce model makes the opposite prediction. In Experiment 2, we investigated the responding to a novel ABC compound in groups trained with either A+, B+, C+ or AB+, AC+, BC+. The Rescorla-Wagner model predicts greater response to ABC in the group trained with A+, B+, C+ than in the group trained with AB+, AC+, BC+, whereas the Pearce model makes the opposite prediction. In contrast to the findings of Redhead and Pearce (1995a) and Pearce et al. (1997) in pigeon autoshaping, our findings in rabbit eyelid conditioning support the Rescorla-Wagner model.     

Competency, capability, complexity and computers: exploring a new model for conceptualising end-user computer education

Notions of competency have dominated the computer education literature, and have underpinned Competency‐Based Training (CBT) in information technology at all levels of education and training. The emergence of counter‐narratives underpinned by the capability movement, have as yet had minimal impact on practice in computer education. New discourses in educational theory and practice which are founded on non‐linear approaches to learning and teaching provide added impetus to engage in the competency/capability debate, and re‐examine our approaches to computer education. This paper explores complexity theories and demonstrates how complexity's pedagogical implications can lead to new models for understanding computer learning and teaching. A new model for conceptualising end‐user computer education is presented that was derived from a three‐year action research initiative with pre‐service teachers.     

Conjunctive differentiation of gape during food-reinforced keypecking in the pigeon

The pigeon’s keypecking response includes both a head-transport (peck) and a jaw-movement (gape) component. Because the two components are mediated by different effector systems, they may potentially be viewed as orthogonal responses. A response differentiation procedure was used to bring gape amplitude under operant control. The procedure employed a conjunctive response requirement in which reinforcement was contingent upon both gaping and key contact. The key-contact requirement was held constant, while the gape contingency was systematically varied to reinforce either decreases or increases in gape amplitude with respect to baseline. The procedure was effective in shifting the gape distributions in both the upward and downward directions and in inducing new gape values that deviated from the baseline in the reinforced direction. These observations indicate that gape may be brought under operant control. However, subjects showed a bias in the differentiation of the gape response, such that larger gapes were more readily differentiated than smaller gapes. The results are discussed in relation to the methodological utility of the paradigm, the problem of biological constraints on learning, and the heuristic utility of a response components analysis.     

Elementary school teachers’ preferences for school‐based interventions for students with emotional and behavioral problems

Teachers’ adoption and implementation of evidence‐based programs is often limited. Program characteristics may be important facilitators or barriers of use, yet little is known about which attributes influence teacher decisions. Using a discrete choice experiment with a sample of general education elementary teachers (N = 230), we examined (a) preference for attributes of school‐based interventions, (b) relative preference for three intervention packages with experimentally manipulated characteristics, and (c) teacher characteristics related to the above preference profiles. Intervention outcomes were the most important characteristics in teachers’ intervention decisions. Most teachers’ responses suggested preference for a social and emotional learning program (57.9%) or school‐based consultation for behavioral interventions (35.8%); a small group of teachers preferred a general support intervention (5.8%). Teachers preferring the general support intervention reported greater mental health symptoms, lower mental health literacy and lower confidence in program effectiveness than peers preferring other interventions. Implications for intervention development and future directions are discussed.     

Differences between WISC‐R and WISC‐III performance scale among children with ADHD

Reviews involving the Wechsler Scales for children suggest that Full Scale IQ scores on the Wechsler Intelligence Scale for Children, Third Edition, average 5 to 6 points lower than scores on the second edition of the scale [WISC‐R, Wechsler, D. (1974). Zimmerman & Woo‐Sam, 1997], with the differences distributed disproportionately over subtests, i.e., with larger discrepancies found within the Performance Scale (Wechsler, 1991). Changes on the revised subtests of the WISC‐III Performance Scale may place children with ADHD at a disadvantage compared to their performance on analogous WISC‐R subtests. We examined IQ test performance in 122 unmedicated children with ADHD (61 given the WISC‐R, 61 given the WISC‐III), and 46 children from a healthy, comparison group (23 given the WISC‐R, 23 given the WISC‐III). The ADHD and comparison group samples were matched for sex and for Verbal IQ between WISC‐R and WISC‐III. Children with ADHD had significantly lower Performance IQ on WISC‐III compared to the WISC‐R, with the Picture Arrangement subtest showing the most significant difference. In contrast, there were no significant differences between the WISC‐R and WISC‐III cohorts on Performance IQ or any Performance subtests among the comparison group. These findings highlight the importance of examining the comparability of ability test revisions among clinical and non‐clinical populations, and will be especially salient when the WISC‐III is revised. © 2003 Wiley Periodicals, Inc. Psychol Schs 40: 331–340, 2003.