项目反应理论观察分数核等值的影响因素

探究带宽选择方法、样本量、题目数量、等值设计、数据模拟方式对项目反应理论观察分数核等值的影响。通过两种数据模拟方式,获得研究数据,并计算局部与全域评价指标。研究发现,在随机组设计中,带宽选择方法表现相似;考生样本量和题目数量影响甚微。在非等组设计中,惩罚法与Silverman经验准则表现优异;增加题目量可降低百分相对误差和随机误差;增加样本量导致百分相对误差变大,随机误差减小。数据模拟方式可影响等值评价。未来应重点关注等值系统评估。     

社会创造性的微观变化：基于虚拟仿真技术的研究

本研究将微观发生法设计和虚拟仿真技术相结合,考察了不同特质社会创造性大学生跨情境、跨时间的状态社会创造性的变化特点。结果表明：（1）在四种具体社会问题情境中,个体策略新颖性的变化表现出了跨情境的多样性特点,而策略实用性的变化则主要表现出了跨情境的一致性特点;（2）个体特质社会创造性对其状态社会创造性的表现的影响主要体现在策略的实用性上。     

Developmental trajectory in the relationship between calculation skill and finger dexterity: A longitudinal study

A 2‐year longitudinal study of 33 children aged 4–6 years was conducted to clarify the developmental relationship between calculation skill and finger dexterity, as well as the selectivity of the predictive power of finger dexterity on later calculation skill. We examined individual developmental change in the relationship between addition performance and finger dexterity and observed whether children fit a linear developmental pattern. Multiple regression analysis showed that participants' performance on addition tests was strongly predicted by their finger dexterity. However, their performance on vocabulary tests was not strongly influenced by finger dexterity. These findings suggest that calculation skill in children aged 4–6 years is strongly related to finger dexterity.     

Single-case effect size calculation: Comparing regression and non-parametric approaches across previously published reading intervention data sets

Growing from demands for accountability and research-based practice in the field of education, there is recent focus on developing standards for the implementation and analysis of single-case designs. Effect size methods for single-case designs provide a useful way to discuss treatment magnitude in the context of individual intervention. Although a standard effect size methodology does not yet exist within single-case research, panel experts recently recommended pairing regression and non-parametric approaches when analyzing effect size data. This study compared two single-case effect size methods: the regression-based, Allison-MT method and the newer, non-parametric, Tau-U method. Using previously published research that measured the Words read Correct per Minute (WCPM) variable, these two methods were examined by comparing differences in overall effect size scores and rankings of intervention effect. Results indicated that the regression method produced significantly larger effect sizes than the non-parametric method, but the rankings of the effect size scores had a strong, positive relation. Implications of these findings for research and practice are discussed.     

Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

Coping strategies: A prospective study of patterns,stability, and relationships with psychological distress

The aims of this article are: (1) to explore patterns (clusters) of coping strategies; (2) to examine the stability of individual coping strategies and patterns of coping over time; and (3) to establish long term associations between coping and psychological distress. Coping strategies were assessed with the Brief Cope questionnaire, whereas psychological distress was measured with the ten‐item version of the Hopkins Symptom Checklist, in a two‐year prospective sample comprising 3,738 employees. Based on TwoStep cluster analysis of the Brief Cope, three different coping patterns were identified: low coping, engagement coping, and disengagement coping. Analyses of long‐term stability indicated malleable properties for the individual coping strategies as well as the three clusters. Disengagement coping strategies in the form of self‐blame and self‐distraction were most strongly associated with distress at follow‐up, whereas baseline distress was related to increased use of these strategies two years later. Coping patterns at baseline had no main effects on later levels of distress, but levels of distress at baseline predicted subsequent use of engagement and disengagement coping patterns. The finding that specific coping strategies are malleable suggests that it is possible to modify and develop dysfunctional strategies. The associations between disengagement coping strategies and distress indicate that this kind of coping is especially problematic with regard to mental health problems. A main contribution of this study is that it establishes cluster analytic techniques as beneficial in the assessment of coping.     

Qualitative job insecurity and in-role performance: a bidirectional longitudinal relationship?

This study adds to the understanding of the relationship between qualitative job insecurity and employee in-role performance, by analysing the association longitudinally. While social exchange theory predicts that the relationship should be negative and bidirectional, the job preservation motivation model indicates a self-correcting mechanism, where job insecurity leads to increased performance, which, in turn, could decrease job insecurity. We developed competing hypotheses and examined them using structural equation modelling in a heterogeneous sample of 337 employees. For employees with a higher professional level, results pointed towards a reciprocal causal relationship between qualitative job insecurity and in-role performance, indicating a loss cycle. For employees with a lower professional level, results showed a small positive direct causal relationship between qualitative job insecurity and in-role performance, while the negative direct path from in-role performance to qualitative job insecurity did not reach statistical significance. This is the first study to test the diverging theoretical predictions of social exchange theory and the job preservation motivation model, with regard to the relationship between qualitative job insecurity and in-role performance. Being longitudinal, our study only allows us to hint at possible causal relationships between the involved variables, the chronological order being necessary, but not sufficient to prove causality.     

Effects of perception on public bike-and-ride: A survey under complex,multifactor mode-choice scenarios

Bicycles are an environmentally-friendly, energy-saving mode of transportation. Public bike-and-ride is a term used to describe the use of public bicycles combined with transit as a means of transportation. A new stated preference (SP) design scheme based on the factors respondents felt were most important was proposed to augment the traditional SP design under complex multi-factor and multi-level situations. iPads were used to automatically administer the survey under each design scheme and collect the choice behavior data for public bike-and-ride. The concept of perceived psychological distance was further proposed and used to estimate Logit models. Comparative analysis of these models shows for the traditional SP design scheme, some factors, including perceived psychological distance, have reduced statistically significant effects on public bike-and-ride choice relative to the new SP design scheme. This indicates that in scenarios with complex decisions, the decision-makers would reduce their consideration of some factors and simplify their decision process making the new SP survey design scheme more suitable to analyze their choice behavior in those cases. Model analysis showed that perceived psychological distance for each traveler is the most critical factor during the decision process for travel behavior analysis. Finally, sensitivity analysis was conducted to determine which factors in the new survey design were important to increase the share of public bike-and-ride users. Practical findings for promoting public bike-and-ride use are presented in addition to theoretical references for improving the traditional survey methods.     

Anxiety sensitivity and attentional bias to threat interact to prospectively predict anxiety

The purpose of the present study was to examine anxiety sensitivity, attentional bias to threat (ABT), and the aggregate influence of these constructs as prospective predictors of anxiety. Participants (N = 176) completed a baseline assessment session which included the completion of self-report measures of anxiety and anxiety sensitivity, as well as an eye-tracking task in which eye movements were recorded during the viewing of neutral and threat images. Measures of anxiety and anxiety sensitivity were completed again as part of an online questionnaire battery at a 1-year follow-up session. As predicted, baseline anxiety sensitivity and ABT predicted anxiety at 1-year follow-up even after accounting for baseline anxiety. However, these main effects were qualified by a significant interaction effect such that those high in anxiety sensitivity at baseline reported relatively higher anxiety at the 1-year follow-up, but only if they also exhibited higher levels of ABT at baseline. Results suggest that individuals with this combination of vulnerability factors (high levels of both anxiety sensitivity and ABT) may be at particularly high risk for developing anxiety and may benefit from preemptive efforts to reduce ABT.