Measurement of attitudes toward obese people among a Canadian sample of men and women

A new scale for examining attitudes toward obese people had 44 items selected from previously published scales designed to indicate attitudes toward obese people. Reliability analysis yielded a Cronbach coefficient alpha of .92 for the total sample. A factor analysis yielded four factors. Employing the Body Mass Index as an indicator of obesity, the attitudes of 239 men and women were examined. Women were significantly more positive than men in their attitude toward obese people. When examining Body Mass Index as a factor, comparisons of obese and nonobese women indicated obese women were more positive on the Diet and Exercise factor of the scale. Suggestions for improvement and research are offered.     

Are transitions in human gait determined by mechanical,kinetic or energetic factors?

It is currently unclear whether it is the need to maintain metabolic efficiency, the need to keep skeletal loading below critical force levels, or simple mechanical factors that drive the walk-to-run (W-R) and run-to-walk (R-W) transitions in human gait. Eighteen adults (9 males and 9 females) locomoted on an instrumented treadmill using their preferred gait. Each completed 2 ascending (W-R) and 2 descending (R-W) series of trials under three levels of loading (0%, 15% and 30% body weight). For each trial, participants locomoted for 60 s at each of 9 different speeds--4 speeds both above and below their preferred transition speed (PTS) plus their PTS. Evidence was sought for critical levels of key kinetic (maximum vertical force, impulse, first peak force, time to first peak force and maximum loading rate), energetic (oxygen consumption, transport cost) and mechanical variables (limb lengths, strength) predictive of the gait transition. Analyses suggested the kinetic variables of time to first peak force and loading rate as the most likely determinants of the W-R and R-W transitions.     

The impact of supervisory mentoring on personal learning and career outcomes: The dual moderating effect of self-efficacy

Using survey data from 226 employees and their supervisors in four manufacturing companies in China, we found that employee self-efficacy has a dual moderating effect on the impact of supervisory mentoring on subordinate career outcomes. Path analytic tests of mediated moderation suggested that self-efficacy moderates the mediated effects of supervisory mentoring on job performance and career satisfaction through personal learning such that the mediated effect on job performance is stronger when employees have higher self-efficacy, but the mediated effect on career satisfaction is stronger when they have lower self-efficacy.     

Distinguishing voluntary from involuntary attention to emotion

This study explored whether voluntary attention to emotion is distinguishable from involuntary attention to emotion. University students (N = 166) completed self-report questionnaires, designed for this study, intended to measure voluntary and involuntary attention to one’s own emotions. Moreover, participants completed questionnaires measuring other emotional constructs and distress. Finally, participants completed a dot probe task intended to obtain a behavioral measure of voluntary attention to emotion. Affect intensity was positively correlated with both voluntary and involuntary attention to emotion. As expected, dot probe emotional bias scores were associated with self-reported voluntary attention to emotion, but not with involuntary attention to emotion. Voluntary and involuntary attention to emotion were also differentially associated with clarity of emotion, anhedonic depression, and worry. The results of this study suggest it is important to distinguish between voluntary and involuntary attention to one’s own emotions.     

A Web-based digitized video image system for the study of motor coordination

A Web-based instructional project for the study of motor coordination is presented. The project includes two components: a tutorial on motor coordination and an interactive digitized video image system developed for the analysis of motion, including topics in biomechanics, motor coordination, motor control, and motor skill. This interactive system allows for the quantitative analysis of stored video images that are accessible from the World-Wide Web. The use of this digitizing system for the measurement and analysis of human locomotion coordination patterns is presented.     

Iconic store and partial report

The iconic store has recently been challenged on the grounds that data in its favor may have resulted from some procedural artifacts. The display-instruction compatibility and perceptual grouping hypotheses were reexamined in two experiments with the partial-report paradigm. When care was taken to rectify some procedural problems found in Merikle’s (1980) study, it was established that the iconic store (as a hypothetical mechanism) can still be validly entertained. This report demonstrates one important procedural point in studying the iconic store with the partial report task, namely, that subjects must be given more than token training on the partial-report task.     

Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching

A growing number of social scientists have turned to differential equations as a tool for capturing the dynamic interdependence among a system of variables. Current tools for fitting differential equation models do not provide a straightforward mechanism for diagnosing evidence for qualitative shifts in dynamics, nor do they provide ways of identifying the timing and possible determinants of such shifts. In this paper, we discuss regime-switching differential equation models, a novel modeling framework for representing abrupt changes in a system of differential equation models. Estimation was performed by combining the Kim filter (Kim and Nelson State-space models with regime switching: classical and Gibbs-sampling approaches with applications, MIT Press, Cambridge, 1999) and a numerical differential equation solver that can handle both ordinary and stochastic differential equations. The proposed approach was motivated by the need to represent discrete shifts in the movement dynamics of \(n= 29\) mother–infant dyads during the Strange Situation Procedure (SSP), a behavioral assessment where the infant is separated from and reunited with the mother twice. We illustrate the utility of a novel regime-switching differential equation model in representing children’s tendency to exhibit shifts between the goal of staying close to their mothers and intermittent interest in moving away from their mothers to explore the room during the SSP. Results from empirical model fitting were supplemented with a Monte Carlo simulation study to evaluate the use of information criterion measures to diagnose sudden shifts in dynamics.