Children's adaptive behavior scale: A new measure of adaptive functioning

This article describes a new instrument for the measurement of adaptive behavior that is administered directly to the child. It was designed for brief administration, to be educationally relevant, and to measure these five domains of adaptive behavior: Language Development, Independent Functioning, Family Role Performance and Economic-Vocational Activity, and Socialization. An initial study of test-retest reliability indicates the instrument has high reliability.     

The WISC-R and Woodcock-Johnson tests of cognitive ability: A comparative study

The Woodcock-Johnson Psycho-Educational Battery has become a popular instrument for assessing students with learning problems. Previous research has indicated a possible discrepancy between overall scores on the WISC-R and the congnitive portion of the Woodcock-Johnson with samples of learning disabled (LD) students. The current study, conducted with samples of students not designated as LD, also found significant differences in the mean scores between the two measures. The hypothesis that the difference between measures is a function of grade level was not supported. Other findings of the current study, coupled with previous research, suggest that the congnitive portion of the Woodcock-Johnson may be loaded with verbal factors.     

A method for the systematic observation of examiner behavior during psychoeducational assessments

A specific empirical method for the systematic observation of examiner behavior during psychoeducational assessments, the SOS-A, is described. Development of the instrument is discussed and data on intra- and interobserver agreement are presented. The instrument is regarded as an initially adequate method for systematically collecting data on examiner behavior.     

The relationship between behavioural integrity,competence, goodwill,trustworthiness, and motivating language of a principal

Utilising the oral language of a principal leading an inner-city at-risk elementary school in a large urban school district in the southwestern USA, the researchers tested behavioural integrity and the dimensions of source credibility (competence, goodwill, and trustworthiness) as antecedents to Motivating Language Theory and the ML Model. Teacher perception data at the Title I elementary school was used for this quantitative study. Over 95% of the teachers responded to a survey each year for a three-year period. Each year, there were statistically significant correlations between each of the antecedents and motivating language. The antecedents accounted for 66–75% of the total variance for motivating language depending on the year based on regression analysis. The results of this study extend the field of Motivating Language Theory and the ML Model, and further explain how the work of principals is accomplished.     

Measuring Textbook Content Coverage: Efficient Content Analysis with Lesson Sampling

This study addresses measurement issues around a standards-based content analysis of mathematics textbooks’ coverage of standards for use in large-scale monitoring of standards implementation as proposed in a 2013 report by the National Research Council. An earlier study produced an exhaustive content analysis of textbooks using the 2012 Common Core State Standards for Mathematics. This yielded an accurate and reliable portrait of a textbook's coverage of standards. However, such an in-depth analysis is not feasible for large-scale standards-implementation monitoring in which a large number of textbooks may need to be analyzed. To provide such a portrait with sufficient accuracy while also substantially reducing the associated resources needed to produce such a portrait, a simulation study was conducted with the exhaustively coded database to compare different sampling schemes. Results indicated that sampling 1 day from each week and coding the corresponding lessons led to sufficiently accurate representations of the overall content of the textbook. The results provide empirical evidence for large-scale standards-based content analyses of mathematics textbooks for monitoring standards implementation which could be adapted for other subject areas.     

Accelerometer and GPS Data to Analyze Built Environments and Physical Activity

ABSTRACT

Purpose: Most built environment studies have quantified characteristics of the areas around participants’ homes. However, the environmental exposures for physical activity (PA) are spatially dynamic rather than static. Thus, merged accelerometer and global positioning system (GPS) data were utilized to estimate associations between the built environment and PA among adults. Methods: Participants (N = 142) were recruited on trails in Massachusetts and wore an accelerometer and GPS unit for 1–4 days. Two binary outcomes were created: moderate-to-vigorous PA (MVPA vs. light PA-to-sedentary); and light-to-vigorous PA (LVPA vs. sedentary). Five built environment variables were created within 50-meter buffers around GPS points: population density, street density, land use mix (LUM), greenness, and walkability index. Generalized linear mixed models were fit to examine associations between environmental variables and both outcomes, adjusting for demographic covariates. Results: Overall, in the fully adjusted models, greenness was positively associated with MVPA and LVPA (odds ratios [ORs] = 1.15, 95% confidence interval [CI] = 1.03, 1.30 and 1.25, 95% CI = 1.12, 1.41, respectively). In contrast, street density and LUM were negatively associated with MVPA (ORs = 0.69, 95% CI = 0.67, 0.71 and 0.87, 95% CI = 0.78, 0.97, respectively) and LVPA (ORs = 0.79, 95% CI = 0.77, 0.81 and 0.81, 95% CI = 0.74, 0.90, respectively). Negative associations of population density and walkability with both outcomes reached statistical significance, yet the effect sizes were small. Conclusions: Concurrent monitoring of activity with accelerometers and GPS units allowed us to investigate relationships between objectively measured built environment around GPS points and minute-by-minute PA. Negative relationships between street density and LUM and PA contrast evidence from most built environment studies in adults. However, direct comparisons should be made with caution since most previous studies have focused on spatially fixed buffers around home locations, rather than the precise locations where PA occurs.