Re-Examination of Traditional Admissions Criteria in Predicting Academic Success in a Counselor Education Program

The purpose of this study was to re-evaluate the validity of traditional admissions criteria—UGPA and GRE scores—in predicting academic success for students admitted to a counselor education program in the United States. In contrast to prior research, we also included the newer GRE-Analytical Writing scores in our analyses. In general, we found that both UGPA and GRE scores were useful for predicting both graduate grade point averages (GGPAs) and students’ scores on the Counselor Preparation Comprehensive Exam (CPCE). We also found that a discriminant model that included all four admission variables was useful for predicting program completion outcomes: successfully graduated, dropped out, or dismissed from the program. Implications for the admissions and screening process are presented.     

Nonword repetition with spectrally reduced speech: some developmental and clinical findings from pediatric cochlear implantation

Nonword repetition skills were examined in 24 pediatric cochlear implant (CI) users and 18 normal-hearing (NH) adult listeners listening through a CI simulator. Two separate groups of NH adult listeners assigned accuracy ratings to the nonword responses of the pediatric CI users and the NH adult speakers. Overall, the nonword repetitions of children using CIs were rated as more accurate than the nonword repetitions of the adults. The nonword repetition accuracy ratings from both groups of subjects were correlated with open- and closed-set word recognition scores and forward digit spans. Only the perceptual accuracy scores from pediatric CI users were correlated with measures of speech production accuracy. These results suggest that although the pediatric CI users had more experience and success in perceiving speech under degraded auditory conditions, developmental differences in their memory skills prevent them from performing as well on working memory tasks as mature listeners.     

Using compositional data analysis to explore accumulation of sedentary behavior,physical activity and youth health

Purpose:The study aimed to describe youth time-use compositions,focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity(PA),and to examine associations of these time-use compositions with cardiometabolic biomarkers.Methods:Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7-13 years old were pooled(complete cases with accelerometry and adiposity marker data,n=782).A 9-component time-use composition was formed using compositional data analysis:time in shorter and longer bouts of sedentary behavior;time in shorter and longer bouts of light-,moderate-,or vigorous-intensity PA;and"other time"(i.e.,non-wear/sleep).Shorter and longer bouts of sedentary time were defined as<5 min and>5 min,respectively.Shorter bouts of light-,moderate-,and vigorous-intensity PA were defined as<1 min;longer bouts were defined as≥1 min.Regression models examined associations between overall time-use composition and cardiometabolic biomarkers.Then,associations were derived between ratios of longer activity patterns relative to shorter activity patterns,and of each intensity level relative to the other intensity levels and"other time",and cardiometabolic biomarkers.Results:Confounder-adjusted models showed that the overall time-use composition was associated with adiposity,blood pressure,lipids,and the summary score.Specifically,more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score(zBMI)(β=1.79;SE=0.68)and waist circumference(β=18.35,SE=4.78).When each activity intensity was considered relative to all higher intensities and"other time",more time in light-and vigorous-intensity PA,and less time in sedentary behavior and moderate-intensity PA,were associated with lower waist circumference.Conclusion:Accumulating PA,particularly light-intensity PA,in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.     

Understanding the relationship among launch variables in the golf drive using neural network visualisations

The aim of this study was to identify and characterise individual differences in launch conditions measured from the same hole during four rounds of a professional golf tournament. Launch data from the 18th tee at the 2009 Dubai World Championship were used for the analysis. Self-organising maps (SOMs) were chosen to visualise the potentially non-linear relationship among the launch variables. Several distinctly different types of drives were identified on the output map. Drives which carried the furthest were not necessarily associated with the highest rates of ball speed. As indicated by carry distance, the longest drives had backspin rates of roughly 2700 rpm, a launch angle of 11 degrees, a straight or slightly left-to-right curving ball flight (for right-handers), and reached an apex of about 36 m. These values are specific to the 18th hole at the Dubai World Championship and differ from the general launch recommendations found in the literature.     

WISC-R factor scores and student self-ratings of behavior as predictors of academic achievement

The capability of WISC-R Verbal Comprehension (VC), Perceptual Organization (PO), and Freedom from Distractibility (FD) factor scores and student self-ratings of behavior from the Behavior Rating Profile Student Rating Scales (BRP-SRS) to predict academic achievement was investigated. Previous research found that intellectual ability accounted for about 50% of the variance in achievement. Other noncognitive variables are expected to account for a portion of the remaining variance and add significantly to the prediction of achievement. Subjects were public school students referred for psychological evaluations due to learning and behavior problems in the classroom. The results of a multivariate multiple regression analysis indicated that VC and FD factors significantly predicted Woodcock-Johnson Reading, Mathematics, and Written Language cluster scores. The VC and FD factors accounted for a major portion of the variance in achievement. Behavioral self-ratings did not contribute significantly to the prediction of achievement scores.     

The cubicle warrior: the marionette of digitalized warfare

In the last decade we have entered the era of remote controlled military technology. The excitement about this new technology should not mask the ethical questions that it raises. A fundamental ethical question is who may be held responsible for civilian deaths. In this paper we will discuss the role of the human operator or so-called ‘cubicle warrior’, who remotely controls the military robots behind visual interfaces. We will argue that the socio-technical system conditions the cubicle warrior to dehumanize the enemy. As a result the cubicle warrior is morally disengaged from his destructive and lethal actions. This challenges what he should know to make responsible decisions (the so-called knowledge condition). Nowadays and in the near future, three factors will influence and may increase the moral disengagement even further due to the decrease of locus of control orientation: (1) photo shopping the war; (2) the moralization of technology; (3) the speed of decision-making. As a result, cubicle warriors cannot be held reasonably responsible anymore for the decisions they make.