Reexamining personal, social, and cultural influences on compliance behavior in the United States, Poland, and Hong Kong

Researchers have extended the literature on strategies of gaining compliance with a request to incorporate cultural variations into the analytic framework. In the present investigation, the authors sought to go beyond previous studies of the factors increasing compliance rates by reexamining how researchers conceptualize and measure personal, social, and cultural influences on compliance behavior in the United States, Poland, and Hong Kong. The authors found that different levels of compliance were affected by culture, principles of influence, and the individual's personal orientation of idiocentrism/allocentrism (I/A). In the present study, the authors extended previous cross-cultural work by decomposing the I/A into 2 separate individual difference variables: normative perceptions and evaluative perceptions. The interaction of person and situation on compliance showed the power of situational demands and the strength of different aspects of personal collectivism. Different patterns of compliance at the culture level revealed the importance of culture in shaping this behavioral tendency. Thus, the authors' integration of personal, social, and cultural influences provided an interactive model to help researchers explain compliance more comprehensively.     

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.     

Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter

Many intensive longitudinal measurements are collected at irregularly spaced time intervals, and involve complex, possibly nonlinear and heterogeneous patterns of change. Effective modelling of such change processes requires continuous-time differential equation models that may be nonlinear and include mixed effects in the parameters. One approach of fitting such models is to define random effect variables as additional latent variables in a stochastic differential equation (SDE) model of choice, and use estimation algorithms designed for fitting SDE models, such as the continuous-discrete extended Kalman filter (CDEKF) approach implemented in the dynr R package, to estimate the random effect variables as latent variables. However, this approach's efficacy and identification constraints in handling mixed-effects SDE models have not been investigated. In the current study, we analytically inspect the identification constraints of using the CDEKF approach to fit nonlinear mixed-effects SDE models; extend a published model of emotions to a nonlinear mixed-effects SDE model as an example, and fit it to a set of irregularly spaced ecological momentary assessment data; and evaluate the feasibility of the proposed approach to fit the model through a Monte Carlo simulation study. Results show that the proposed approach produces reasonable parameter and standard error estimates when some identification constraint is met. We address the effects of sample size, process noise variance, and data spacing conditions on estimation results.     

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.     

Home environmental influences on children's language and reading skills in a genetically sensitive design: Are socioeconomic status and home literacy environment environmental mediators and moderators?

This twin study examined how family socioeconomic status (SES) and home literacy environment (HLE) contributes to Chinese language and reading skills. It included 312 Chinese twin pairs aged 3 to 11. Children were individually administered tasks of Chinese word reading, receptive vocabulary and reading‐related cognitive skills, and nonverbal reasoning ability. Information on home environment was collected through parent‐reported questionnaires. Results showed that SES and HLE mediated shared environmental influences but did not moderate genetic influences on general language and reading abilities. Also, SES and HLE mediated shared environmental contributions to receptive vocabulary and syllable and rhyme awareness, but not orthographic skills. The findings of this study add to past twin studies that focused on alphabetic languages, suggesting that these links could be universal across languages. They also extend existing findings on SES and HLE's contributions to reading‐related cognitive skills.     

Congruity of observed social support behaviors and couple relationship quality

This study examined the role of congruity in couples' social support behaviors on relational outcomes. Participants (N = 123 couples, M_age = 26.91, SD = 8.46) completed surveys on relationship satisfaction and discord. Positive and negative behaviors were then observed during supportive interactions. Results revealed that the detrimental effect of negative behaviors on satisfaction was buffered by a partner's engagement in fewer negative behaviors or intensified by more negative behaviors. Further, the beneficial effect of positive behaviors on reducing discord was amplified by a partner's engagement in more positive behaviors or offset by fewer positive behaviors. Last, the detrimental effect of negative behaviors on discord was buffered by a partner's engagement in more positive behaviors. These findings highlight the complex nature of dyadic relationships and provide insights for developing interventions focused on improving romantic relationship quality.