均匀设计在心理实验中的应用探讨

均匀设计是一种由中国数学家王元、方开泰在1979年提出的一种新实验设计方法,保留并提高了正交设计的均匀分散性。实验次数等于处理水平数。均匀设计包括选择均匀设计表和安排实验等步骤。适合于探索性实验,特别适合于侦测多个因素（2~18个）的交互作用。不但能处理连续变量,还能处理离散变量。可以在心理实验中应用     

实验设计体系初探

根据对常见实验设计的系统回顾,本文指出名目繁多和缺乏系统性是现有实验设计在名称上存在的问题,据此本文进一步提出了实验设计体系的概念.接着通过对实验设计本质属性的深入讨论,本文认为,基本的实验没计可分为两类,两类基本的实验设计构成了实验设计体系的基础.     

实验设计:一种非模式的方法

实验设计通常被当作一种种设计模式．这种方法可称之为实验设计的模式方法。但本文认为,这种常用的方法事实上存在着不少缺点。于此．本文尝试提出了一种新的实验设计方法——实验设计的变量方法。实验设计的变量方法的基本思想是．从实验研究的问题出发,根据实验中变量的性质或特点确定实验设计的具体内容。本文最后讨论了实验设计变量方法的优越性。     

医学实验设计的几点思考

通过分析医学实验设计中常见的问题,思考其原因,提出了解决这些问题的初浅体会:针对研究主题,全面考量研究环节;重视知识积累,合理预知"未知"的结果;对他人和自己的研究行不间断反思;在研究活动持有客观的态度。     

A Research Tool to Increase Attention to Experimental Materials: Manipulating Presentation Format

Experimental approaches require researchers in a variety of applied business disciplines to design experimental materials. This research is often busy and difficult to secure high-level professionals; thus, researchers must ensure sufficient attention to experimental materials to provide usable data. The current study suggests an experimental design feature to encourage participants to thoroughly process information contained in experimental materials. Based on Reynolds' (1992) selective attention strategy (SAS) model, variations in presentation format were expected to influence the relative salience of information presented. Two aspects of presentation format were manipulated to increase salience: display (paragraph vs. bullet point) and typeface (standard vs. bold underlined). Results indicate display improved ability to retrieve information, but typeface did not. Implications for the design of experimental materials are discussed.     

From a single-level analysis to a multilevel analysis of single-case experimental designs

Multilevel modeling provides one approach to synthesizing single-case experimental design data. In this study, we present the multilevel model (the two-level and the three-level models) for summarizing single-case results over cases, over studies, or both. In addition to the basic multilevel models, we elaborate on several plausible alternative models. We apply the proposed models to real datasets and investigate to what extent the estimated treatment effect is dependent on the modeling specifications and the underlying assumptions. By considering a range of plausible models and assumptions, researchers can determine the degree to which the effect estimates and conclusions are sensitive to the specific assumptions made. If the same conclusions are reached across a range of plausible assumptions, confidence in the conclusions can be enhanced. We advise researchers not to focus on one model but conduct multiple plausible multilevel analyses and investigate whether the results depend on the modeling options.     

Use of Brief Experimental Analyses in Outpatient Clinic and Home Settings

We describe the historic and current use of brief experimental analysis procedures in outpatient clinic and home settings. We discuss some applications of the designs and suggest design modifications for improving internal validity. We describe our application of the designs to longitudinal, in-home programs for children with severe behavior disorders and demonstrate how related versions of brief experimental analysis procedures can be linked to form a more comprehensive evaluation.     

心理实验程序设计的模式化方法

心理实验程序设计是指将心理学的研究计划或设想转变成计算机可识别的程序的过程,是心理学研究中的一个重要环节。本文提出了心理实验程序设计的一套模式化方法——12345理论,即一个过程,两种类型,三大原则,四种模式,五个要素。12345理论具有较强的指导性和操作性,能够为心理学研究人员设计实验程序提供理论和方法指导,对心理实验程序设计体系的规范化或标准化的建立作出了有益的探讨。     

The NIH Science of Behavior Change Program: Looking Toward the Future

The National Institutes of Health established the Science of Behavior Change (SOBC) program to promote basic research on the initiation, personalization, and maintenance of health behavior change. The SOBC Resource and Coordinating Center now leads and supports activities to maximize the creativity, productivity, scientific rigor, and dissemination of the experimental medicine approach and experimental design resources. Here, we highlight those resources, including the Checklist for Investigating Mechanisms in Behavior-change Research (CLIMBR) guidelines introduced in this special section. We describe the ways in which SOBC can be applied across a range of domains and contexts, and end by considering ways to extend SOBC’s perspective and reach, so as to best promote behavior change linked with health, quality of life, and well-being.     

Intolerance of sexy peers: intrasexual competition among women

Intrasexual competition among males of different species, including humans, is well documented. Among females, far less is known. Recent nonexperimental studies suggest that women are intolerant of attractive females and use indirect aggression to derogate potential rivals. In Study 1, an experimental design was used to test the evolutionary-based hypothesis that women would be intolerant of sexy women and would censure those who seem to make sex too readily available. Results provide strong empirical support for intrasexual competition among women. Using independent raters, blind to condition, we found that almost all women were rated as reacting negatively ("bitchy") to an attractive female confederate when she was dressed in a sexually provocative manner. In contrast, when she was dressed conservatively, the same confederate was barely noticed by the participants. In Study 2, an experimental design was used to assess whether the sexy female confederate from Study 1 was viewed as a sexual rival by women. Results indicated that as hypothesized, women did not want to introduce her to their boyfriend, allow him to spend time alone with her, or be friends with her. Findings from both studies are discussed in terms of evolutionary theory.     

A probabilistic model of intensive designs

Without internal validity, experimental data are uninterpretable. With intensive designs, most methods presented to quantify a design's internal validity have been subject to criticism. A probabilistic model of intensive designs is presented that demonstrates the high degree of internal validity of these designs without relying on adaptations from traditional inferential statistics. Where the experimenter is able to conform to the restrictions of the model, the equations provide an estimation of internal validity for either reversal or multiple-baseline designs. More importantly, the model provides mathematical bases for some of the common recommendations and design considerations in intensive research (such as the desirability of within-subject replications and of four or more multiple baselines).     

VIDEO-BASED TRAINING OF RESPITE CARE PROVIDERS: AN INTERACTIONAL ANALYSIS OF PRESENTATION FORMAT

We conducted two studies to evaluate a video-based instructional package for training respite care providers and the role of presentation format (viewing the videotapes alone, with a partner, and with structured group training) as a contextual variable. In Study 1, the results of a within-subjects Latin square design nested within a multiple baseline showed that performance during simulated (role-played) respite care situations improved in five of the six skill areas for the 12 trainees following presentation of the videotape, with no differences between presentation formats. Correct responding generalized to respite care situations involving a developmentally disabled child, and in most cases, acquired skills were maintained for up to 6 months. In Study 2, we conducted a clinical replication of Study 1 under conditions more closely approximating those in which the training program would be implemented by respite care agencies. Results of the between-groups analysis were consistent with the findings of Study 1.     

Cohort Effects in the Lateral Preference of Japanese People

Handedness data of the Japanese were collected twice with an interval of 20 years, using an identical handedness inventory. In the second cohort, non-right-handers among male and female students numbered 11.5% and 5.9%, respectively. The results showed that the incidence of non-right-handedness among Japanese females has increased from 20 years ago.     

A tutorial on adaptive design optimization

Experimentation is ubiquitous in the field of psychology and fundamental to the advancement of its science, and one of the biggest challenges for researchers is designing experiments that can conclusively discriminate the theoretical hypotheses or models under investigation. The recognition of this challenge has led to the development of sophisticated statistical methods that aid in the design of experiments and that are within the reach of everyday experimental scientists. This tutorial paper introduces the reader to an implementable experimentation methodology, dubbed Adaptive Design Optimization, that can help scientists to conduct “smart” experiments that are maximally informative and highly efficient, which in turn should accelerate scientific discovery in psychology and beyond.     

An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

In this paper, we present a new approach for the optimal experimental design problem of generating diagnostic choice tasks, where the respondent's decision strategy can be unambiguously deduced from the observed choice. In this new approach, we applied a genetic algorithm that creates a one‐to‐one correspondence between a set of predefined decision strategies and the alternatives of the choice task; it also manipulates the characteristics of the choice tasks. In addition, this new approach takes into account the measurement errors that can occur when the preferences of the decision makers are being measured. The proposed genetic algorithm is capable of generating diagnostic choice tasks even when the search space of possible choice tasks is very large. As proof‐of‐concept, we used this novel approach to generate respondent‐specific choice tasks with either low or high context‐based complexity that we operationalize by the similarity of alternatives and the conflict between alternatives. We find in an experiment that an increase in the similarity of the alternatives and an increase in the number of conflicts within the choice task lead to an increased use of non‐compensatory strategies and a decreased use of compensatory decision strategies. In contrast, the size of the choice tasks, measured by the number of attributes and alternatives, only weakly influences the strategy selection. Copyright © 2014 John Wiley & Sons, Ltd.     

安慰剂效应研究实验设计的历史和发展

安慰剂处理从最初作为研究某种真实治疗效应的控制条件, 已演变为研究者直接关注的研究目标, 其实验范式也发生了相应变化。双盲随机设计关注真实的治疗是否优于安慰剂处理; 欺骗设计直接比较安慰剂处理效应和自然历史效应的差异, 关注安慰剂效应本身; 公开隐藏设计通过计算公开治疗效应和隐藏治疗效应之差来估计安慰剂效应的大小; 平衡范式可同时观察安慰剂效应和真实治疗效应; 强化范式通过条件性强化获得加强的安慰剂效应, 是研究其作用机制的优化方案; 本课题组建立的迁移强化范式, 研究安慰剂效应从痛觉到情绪的迁移, 是强化范式的重要补充。     

TOWARD A METHODOLOGY OF WITHDRAWAL DESIGNS FOR THE ASSESSMENT OF RESPONSE MAINTENANCE

Single-case experimental designs have advanced considerably in the evaluation of functional relationships between interventions and behavior change. The systematic investigation of response maintenance once intervention effects have been demonstrated has, however, received relatively little attention. The lack of research on maintenance may stem in part from the paucity of design options that systematically evaluate factors that contribute to maintenance. The present paper discusses three design options potentially useful for the investigation of response maintenance. These include: (a) the sequential-withdrawal, (b) the partial-withdrawal, and (c) the partial-sequential withdrawal designs. Each design is illustrated and potential limitations are discussed.     

区块与事件相关混合设计:一种新的fMRI研究范式

本文在对区块设计和事件相关设计进行简要回顾的基础上,介绍了当前fMRI研究中一种新的研究范式——区块与事件相关混合设计。这种研究范式能够有效地分离认知加工过程中持久的、状态相关的过程与短暂的、项目相关的过程,并且已经在fMRI研究中得到了初步的应用。文章最后指出了使用这种研究范式时需要注意的一些问题,并且指出了其在认知科学研究中的应用前景。     

The effectiveness of a scientific reasoning intervention for conspiracy theory beliefs

Conspiracy theory (CT) beliefs have become an important policy-relevant research area since the events of the COVID-19 pandemic. Increasing interest has been directed towards strategies that might reduce people's susceptibility to conspiratorial beliefs. In this study, we examined whether encouraging a stronger orientation towards critical scientific appraisal of conspiratorial accounts could reduce CT acceptance. After completing baseline measures of COVID-19 related beliefs and analytical and scientific reasoning abilities, a total of 700 adults were randomly allocated to a control or scientific reasoning manipulation. People assigned to the scientific reasoning condition were found to display significantly lower CT belief endorsement post-intervention as compared to the control group. As well as having implications for the design of future intervention studies, the results of this study encourage a greater focus on specific reasoning skills that may be amenable to a psychoeducation approach, in order to further develop methods to prevent CT beliefs.