Do Teachers maintain their Expectation Bias for students? A longitudinal investigation

Whether teachers maintain their expectation bias for students over time is crucial for understanding self-fulfilling prophecy effects. However, the stability of teacher expectation bias has been largely ignored in the literature. We examined the stability of teacher expectation bias across a sample of teachers and the change trajectories of teacher expectation bias across high-, medium-, and low-expectation teacher groups across all teachers and in the curriculum areas of mathematics, Chinese, and English. Our analyses were based on two-year longitudinal data with four time points from 567 Chinese senior high school students and their 50 teachers. The results showed that across all teachers, teacher expectation bias at the individual student level was dynamic over time. That is, teachers seemed to adjust their initial expectation bias in the first few months but then maintained the adjusted expectation bias afterwards. However, when students moved from Grade 11 to Grade 12 (the last year of high school), teachers seemed to change their expectation bias again. The evidence from HLM analyses further supported these results. That is, all the high- and low-expectation teachers alleviated their initial expectation bias significantly in the first six months and then adhered to their adjusted expectation bias. However, when students moved to the last year of high school, some high- and low-expectation teachers’ expectation biases were volatile again. Nevertheless, most high- and low-expectation teachers (except for Chinese low-expectation teachers) tended to either over-estimate or under-estimate their students across two school years. Further, compared to Chinese and mathematics teachers, English teachers’ biases seemed to be even more stable. Our findings suggested that some teachers consistently over- or under-estimated their students over an extended time period and this could have implications for student outcomes.

     

Effects of received and mobilized support on recipients' and providers' self-efficacy beliefs: a 1-year follow-up study with patients receiving radical prostatectomy and their spouses

From a proactive agentic perspective, social support is not just seen as a protective cushion against environmental demands. Rather, support may facilitate an individual's self-regulation by enhancing perceived self-efficacy (i.e., enabling hypothesis). In the present study, patient-reported indicators of mobilized and received spousal support as predictors of their own and their spouses' self-efficacy beliefs were investigated within 1 year following radical prostatectomy. During this time frame, postoperative sequelae such as urinary incontinence and erectile dysfunctions are still likely to interfere with couples' everyday activities. Seventy-two patients receiving radical prostatectomy and their spouses participated. Patients' and spouses' self-efficacy beliefs and patients' received and mobilized spousal support were assessed prior to and 12 months following surgery. Additional patient-reported covariates at 1 year post-surgery were degree of bother by urinary incontinence, overall sexual satisfaction, and relationship satisfaction. Results indicated that patients' received spousal support was associated with higher levels of patients' self-efficacy only cross-sectionally, but not longitudinally. Support mobilized by the patient prior to and 1 year after surgery, however, positively predicted spouses' levels and changes in self-efficacy. Results, thus, did not fully confirm predictions by the enabling hypothesis of social support; rather, associated aspects, such as the degree of being mobilized as a provider of support or being needed, seem to enhance agency beliefs in spouses.     

To know where the bodies are buried: The use of the cognitive interview in an environmental scale spatial memory retrieval task

Missing body homicide cases have gained public interest globally due to some high-profile cases. In many of these cases, the task of locating the victim's remains relies on the information investigators can gain through the interviewing of willing suspects. To date, investigative interviewing research has largely focused on the retrieval of episodic memory (events) without focusing on spatial memory, a prominent cognitive task required in locating a victim's remains. The current experiment tests the enhanced cognitive interview (ECI) against a free recall strategy in a mock homicide scenario where participants are required to hide and retrieve an object in a natural bushland setting. The results showed that those in the ECI condition produced more coarse- and fine-grained details of landmarks and their actions at and journeying to the deposition site. This demonstrates the value of using the ECI in generating more valuable information to assist in successive search attempts.     

Well-being through learning: a systematic review of learning interventions in the workplace and their impact on well-being

The view that learning is central to well-being is widely held and the workplace is an important setting in which learning takes place. Evaluations of the effectiveness of well-being interventions in work settings are commonplace, but to date, there has been no systematic review of the effectiveness of learning interventions with regard to their impact on well-being. The review synthesizes evidence from 41 intervention studies, and although no studies report a negative impact on well-being, 14 show no effect on well-being, with 27 studies having a positive impact. We classify the studies according to the primary purpose of the learning intervention: to develop personal resources for well-being through learning; to develop professional capabilities through learning; to develop leadership skills through learning; and to improve organizational effectiveness through organizational-level learning. Although there is an abundance of workplace learning interventions, few are evaluated from a well-being perspective despite the commonly held assumption that learning yields positive emotional and psychological outcomes. The evidence indicates an important gap in our evaluation of and design of workplace learning interventions and their impact on well-being, beyond those focusing on personal resources. This raises important theoretical and practical challenges concerning the relationship between learning and well-being in the context of professional capability enhancement, leadership capability and organizational learning.     

TreeBUGS: An R package for hierarchical multinomial-processing-tree modeling

Multinomial processing tree (MPT) models are a class of measurement models that account for categorical data by assuming a finite number of underlying cognitive processes. Traditionally, data are aggregated across participants and analyzed under the assumption of independently and identically distributed observations. Hierarchical Bayesian extensions of MPT models explicitly account for participant heterogeneity by assuming that the individual parameters follow a continuous hierarchical distribution. We provide an accessible introduction to hierarchical MPT modeling and present the user-friendly and comprehensive R package TreeBUGS, which implements the two most important hierarchical MPT approaches for participant heterogeneity—the beta-MPT approach (Smith & Batchelder, Journal of Mathematical Psychology 54:167-183, 2010) and the latent-trait MPT approach (Klauer, Psychometrika 75:70-98, 2010). TreeBUGS reads standard MPT model files and obtains Markov-chain Monte Carlo samples that approximate the posterior distribution. The functionality and output are tailored to the specific needs of MPT modelers and provide tests for the homogeneity of items and participants, individual and group parameter estimates, fit statistics, and within- and between-subjects comparisons, as well as goodness-of-fit and summary plots. We also propose and implement novel statistical extensions to include continuous and discrete predictors (as either fixed or random effects) in the latent-trait MPT model.     

Investigating Individual Differences in Toddler Search with Mixture Models

Children's performance on cognitive tasks is often described in categorical terms in that a child is described as either passing or failing a test, or knowing or not knowing some concept. We used binomial mixture models to determine whether individual children could be classified as passing or failing two search tasks, the DeLoache model room task and the Berthier et al. door task. The data support categorical classification of the children and suggest that the increase in average proportion correct with age is the result of an increasing proportion of children who can solve the tasks. Performance on the two tasks was concordant, and improving performance could be due to advances in a single psychological ability, such as cognitive control. Copyright © 2014 John Wiley & Sons, Ltd.     

Does the Narrative Style of Video Evidence Influence Judgements About Rape Complainant Testimony?

Four studies investigated lawyers' concerns that the narrative style of police interviews with adult rape complainants reduces the impact of this interview as video evidence. Study 1 (N = 96) compared mock juror perceptions of simulated evidence‐in‐chief either in traditional short‐answer or narrative style and found testimony style was not a predictor of complainant credibility. Studies 2 (N = 104), 3 (N = 102) and 4 (N = 102) examined different variables that change with testimony style—the number of questions asked, overall testimony length and response length. The number of questions asked was the only predictor of complainant credibility; more questions resulted in higher credibility ratings. These findings suggest that lawyers' concerns about narrative style interviewing are unwarranted. Copyright © 2015 John Wiley & Sons, Ltd.