多种因素对时间连续阈限的影响

该研究做了两个实验,研究了七个因素——刺激的类型、刺激的复杂度、刺激的强度、刺激的呈现时间、被试对两刺激的判断标准、同一种感觉道的个数、性别——对时间连续阈限的影响.在实验一中,结果表明,刺激的类型、刺激的呈现时间、被试对两刺激的判断标准和同一种感觉道的个数四个因素对时间连续阈限有显著影响,而刺激的复杂度、刺激的强度和性别三个因素对时间连续阈限没有显著影响。在实验二中,结果表明,在影响显著的四个因素之间不存在交互作用。     

Longitudinal changes in term and preterm infant night wakings: The role of caregiver anxious-depression

Changes in infant night waking during the first year of life are associated with individual (e.g., prematurity) and family (e.g., caregiver psychopathology) factors. This study examined the association between infant night waking and caregiver anxious-depressive symptoms during the first year of life in preterm and term infants. We considered between-person differences and within-person changes in caregiver anxious-depressive symptoms in relation to changes in infant night waking from 2- to 9-months. Racially (30.0% Black, 60.4% White, 9.5% multiracial/other) and socioeconomically (40.0% below median household income) diverse caregivers (N = 445) of full term (n = 258) and preterm (n = 187) infants were recruited from hospitals and clinics in two midwestern states. Caregivers completed measures of anxious-depression and their infant's night waking at four sampling periods (2-, 4-, 6-, and 9-months). Infant night wakings declined from 2- to 9-months. Between-person differences were observed, such that caregivers with higher average anxious-depressive symptoms or infants born full term reported more night wakings. Within-person effects of caregiver anxious-depressive symptoms were not significant. Caregiver anxious-depression is closely associated with infant night wakings. By considering a caregiver's average severity of anxious-depression, healthcare providers can more effectively plan infant sleep interventions. If caregiver anxious-depressive symptoms are ameliorated, night wakings may also decrease.     

Commentaries on “Beyond statistical significance: Five principles for the new era of data analysis and reporting”

Three commentaries below provide different perspectives on data analysis and reporting. They generally focus on how the quality of the measures and manipulations determines the value of the analysis. Norbert Schwarz and Fritz Strack's comment is less on the right statistic and more on “sloppy reasoning, gaps between theoretical concepts and their operationalizations, and blissful ignorance of the situated nature of human thinking, feeling, and doing contribute more to the limited reproducibility of empirical findings than the choice of a particular test statistic.” They propose that particular effects are contextual and inappropriately labeled as true or false. Instead, our job is to focus on general constructs that make sense of the diversity of human experience and psychological reactions. Too often studies replicating psychological effects in the noisy and confounded conditions of the marketplace result in statistical uncertainty of garbage in, garbage out. Researchers instead need to look toward tests of specific interactions, which can clarify the influencing factors based on theoretical considerations. The second comment is by Andrew Gelman, an outstanding psychological statistician. He proposes that “once the data have been collected, the most important decisions have already been done.” He then provides four recommendations that enable the statistics to work appropriately. The first requirement of an effective study is to be sure that the measures address the construct of interest. Similar to the position of Schwarz and Strack, it is important to articulate the relevance of a statistically significant finding. The second recommendation seeks to curb large number of studies with inflated effect sizes built from narrow studies and unwarranted optimism. The third recommendation is to simulate data from a model and consider the distribution of possible results. That is often done to test a new analysis method, but it can be even more important in marketplace studies where novel characteristics of the sample and experimental conditions are included in the analysis. Finally, he recommends that one consider likely analyses needed before getting the data. Such foresight would encourage, for example, thinking about the kind of data needed to defend the equality of the control demographics against the treatment. The final commentary is by Stijn van Osselaer. He agrees that p-values reflect the detailed methods from a given study but do not focus on the problem of generalizability. Like Gelman, he sees designs focused on effect sizes may have generated too many studies that do not replicate. He contrasts broad explorations with narrowly defined existence tests that provide evidence that an effect exists somewhere but are mute on other contexts where they may apply. For theoretical problems relevant to applications, it is important to identify moderators through broad sampling across population characteristics, stimuli, and situations. He proposes that consumer psychologists should not try to do everything in one paper, but to build practically relevant, applicable knowledge across multiple articles. Different articles, authors, and research methods play various roles, with each article focusing on important stages in the process from generating hypotheses, providing existence proofs, and exploring their broad applicability. That pragmatic approach can integrate theoretical silos that seek to resolve complex human problems and has promise as a criterion for relevant publications.     

先秦服饰色彩与现代服装设计

民族风格的服装一直是现代服装设计主要潮流,中华民族有着悠久的服饰文化历史,一些民族的元素或多或少地也出现一些现代设计中,但总的来说,不是很系统。服装设计的继承不能只停留在形制的模仿上,而是要从文化的层面上融会传统服饰的精髓,用神似的手法进行设计。本文分析了中华服饰的色彩文化的形成和色彩文化的哲学基础。从先民对色彩的认识、色彩的运用和染色技术等方面论证,显示了中华民族优秀的服饰文明,同时也给我们在现代服装设计中色彩的运用提供了很好的启示。     

An exploration of the interrater agreement of visual analysis with and without context

Visual analysis is integral to the analysis of single-case experimental design (SCED) data. Previous studies have shown that many factors may influence the interrater agreement (IRA) of visual analysis. One factor that has received little direct attention is the impact of contextual information. In the current study, authors of recently published SCED studies were asked to make judgments regarding functional relations based on published datasets that met criteria for design quality. Respondents were randomly assigned to view graphs with or without contextual information and the degree of interrater agreement was compared. Results revealed that contextual information had no impact on IRA for decisions of a functional relation. IRA was high across both groups for 6 of the 7 datasets examined. Implications and recommendations based on these results are discussed.     

How drivers adapt their behaviour to changes in task complexity: The role of secondary task demands and road environment factors

The present study investigates the impact of different sources of task complexity such as driving demands and secondary task demands on driver behaviour. Although much research has been dedicated to understanding the impact of secondary task demands or specific road traffic environments on driving performance, there is little information on how drivers adapt their behaviour to their combined presence. This paper aims to describe driver behaviour while negotiating different sources of task complexity, including mobile phone use while driving (i.e., calling and texting) and different road environments (i.e., straight segments, curves, hills, tunnels, and curves on hills). A driving simulator experiment was conducted to explore the effects of different road scenarios and different types of distraction while driving. The collected data was used to estimate driving behaviour through a Generalized Linear Mixed Model (GLMM) with repeated measures. The analysis was divided into two phases. Phase one aimed to evaluate driver performance under the presence and absence of pedestrians and oncoming traffic, different lanes width and different types of distraction. The second phase analysed driver behaviour when driving through different road geometries and lane widths and under different types of distraction. The results of the experiment indicated that drivers are likely to overcorrect position in the vehicle lane in the presence of pedestrians and oncoming traffic. The effect of road geometry on driver behaviour was found to be greater than the effect of mobile phone distraction. Curved roads and hills were found to influence preferred speeds and lateral position the most. The results of this investigation also show that drivers under visual-manual distraction had a higher standard deviation of speed and lateral position compared to the cognitive distraction and the non-distraction condition.     

Safety effects of parking maneuvers

Parking maneuvers, particularly a vehicle’s maneuver for entering and leaving a parking space, have varying rates of use and safety impacts. In this effort, crash data were collected for parking lots in the vicinity of a university campus and compared to observational parking position data. The campus was selected for this study because a change in the parking enforcement process was expected to (and did) change parking maneuver choices. When entering and leaving a parking space, three maneuver options exist for drivers: (1) forward, (2) reverse, and (3) pulling through an adjacent parking space. When specifically entering a parking space, the maneuver options become: (1) pull-in, (2) back-in, and (3) pull-through. When leaving the parking space, the maneuver options become: (1) pull-out, (2) back-out, and (3) pull-through. This study found that the pull-in/back-out vehicle maneuver’s percentage of total crashes was greater than the percentage of vehicles that were actually observed to use the same maneuver. The analysis from this study implies that the pull-in/back-out parking maneuver is more likely to result in a collision and therefore, is associated with a higher crash risk. Further analysis of North Carolina’s parking related fatal and serious injury crashes found that vehicles backing out of parking spaces was overwhelmingly the main cause for these serious injuries. 90% of North Carolina’s parking related fatal and serious injuries occurred during a back-out maneuver. Overall, this study concludes that the back-in/pull-out parking maneuver is safer than the pull-in/back-out maneuver and is the recommended approach to 90° parking.     

Methodological considerations for longitudinal investigations of young drivers

IntroductionMotor vehicle crashes (MVCs) are the leading cause of mortality among teenagers. Teen driving research has a longstanding history; however, much of this work is cross-sectional. The Eunice Kennedy Shriver National Institute for Child Health and Human Development funded a study, REACT (Roadway Experiences and Attentional Change in Teens) which combined factorial and longitudinal designs to investigate the independent and joint effects of age and driving experience on driving attention over time among young drivers.MethodLongitudinal methods offer important contributions to teen driving research by enabling characterization of driving trajectories. This paper describes methodological considerations for longitudinal studies of teen drivers. Such considerations are organized into overarching themes, including population, recruitment, enrollment, and retention, throughout this paper. These considerations were compiled as a combination of our own experiences in REACT and previous literature. We elaborate on these considerations below to illustrate the value of each consideration.ResultsIssues encountered are discussed and strategies for dealing with various issues are described. Transportation barriers, scheduling difficulties, and skipped study milestones were among the most frequent challenges; we outline these and other issues encountered in REACT and corresponding considerations for such issues in Table 2. Sharing these experiences should aid future longitudinal investigations of young drivers, which are critically needed to reduce teen MVCs.ConclusionsStudies similar to REACT are considerable undertakings due to the comprehensive nature of longitudinal design. Such investigations must maintain a delicate balance between appropriate amounts of rigor and flexibility in the development of thoroughly defined research questions and theoretically driven frameworks. Key considerations that have contributed to the success of REACT are outlined, challenges encountered throughout data collection are documented, and recommendations based on choices made and lessons learned to inform future longitudinal investigations on young drivers are provided.     

N-of-1 methods: A practical guide to exploring trajectories of behaviour change and designing precision behaviour change interventions

Objectives(1) To introduce N-of-1 methods and how they can help the researchers identify predictors of behavioural outcomes, (2) to provide examples of studies that test individual theory-based predictions of physical activity and/or exercise; (3) to provide a practical example dataset to illustrate how to design and undertake a basic analysis for an N-of-1 study; and (4) to suggest a future agenda for N-of-1 physical activity and exercise research.DesignFactors for consideration when designing an N-of-1 study include variability of predictors and outcomes, assessment frequency and appropriate analysis methods. Existing literature and piloting can help inform these aspects.MethodsWe use a dataset of 24 individuals who collected data over 28 days to illustrate example analysis procedures. Data, guidance and associated SPSS and R syntax are made available to provide researchers with tools to learn about and practice N-of-1 analysis.ResultsGuidance on dealing with missing data, looking at graphical representations of N-of-1 data, managing autocorrelation using the prewhitening method and analysing N-of-1 datasets is provided. Using the example dataset, we demonstrate how to identify antecedents of physical activity (steps) to assess directionality of associations. We also include an overview of aggregating N-of-1 datasets using multilevel modelling.ConclusionsN-of-1 methodology provides a means of tracking individual patterns of behaviour and identifying potential antecedents of physical activity and exercise to help determine causality. Assisted by mobile technologies, there is great potential to enrich our understanding of movement behaviour using this approach to inform interventions.     

Intensive Transactional Analysis Psychotherapy (ITAP): A case series study

Intensive Transactional Analysis Psychotherapy (ITAP) is a new therapeutic approach based on the integration of Transactional Analysis and brief psychodynamic approaches. ITAP is based on two key therapeutic tools—the intrapsychic triangle and the interpersonal triangle—which the therapist uses to focus patients’ attention on moment‐by‐moment therapy processes. The aim of the present study was to provide early empirical documentation of ITAP effectiveness. To this aim, six patients (four females, two males) were longitudinally evaluated using an A‐B‐A mixed quantitative and qualitative design, with evaluations at Baseline, Treatment and Follow‐up phases. Each patient received 16 50‐min weekly sessions of ITAP therapy over 4 months. For quantitative evaluations, patients filled out the Clinical Outcome in Routine Evaluation‐Outcome Measure (CORE‐OM) at each evaluation. Effects size values were estimated to evaluate quantitative changes comparing mean scores of Baseline, Treatment and Follow‐up phases. At the first follow‐up, the Change Interview was used to qualitatively evaluate patients’ perceived changes. In the quantitative data, four of the six patients reported a very good outcome, with large to very large effect sizes in Baseline versus Treatment and/or Baseline versus Follow‐up scores comparisons, whereas two patients reported variable fluctuations within the non‐clinical range of outcome scores. In the qualitative evaluations, all patients reported several moderately to extremely important perceived changes attributed to psychotherapy.