SHORT- AND LONG-TERM EFFECTS OF CONTINGENCY MANAGED INSTRUCTION ON LOW,MEDIUM, AND HIGH GPA STUDENTS1

Undergraduate students had been assigned to a contingency managed course or a conventional lecture course (Du Nann and Fernald, Journal of Applied Behavior Analysis, 1976, 9 , 373–374). Two years later, some 35% (N = 86) of the original classes responded to a letter offering them $2.00 to participate in a study of their educational experiences. These students completed a multiple-choice test on material from the course, and answered questions about activities and attitudes that might have been affected by the experience in Introductory Psychology. In the contingency management course 2 yr past, students were tested each week on a chapter of textbook material with 10-item multiple-choice quizzes. The course employed a modified “Doomsday Contingency”, requiring each student to achieve 80% mastery on one of the four weekly quizzes or drop the course. Quizzes were given in small groups and scored individually, while the student stood near, by an undergraduate proctor assigned to that group. The proctor was asked to show interest in the students' quiz performances, help clear up difficult areas, and develop a friendly working relationship with each student. While many students passed the quiz on the first attempt, others were given individual tutoring, so that no one was in fact forced to drop the course. In addition to the weekly quiz assignment, students in the contingency managed group were asked to attend one lecture each week. While the contingency management course procedures had much in common with PSI (Keller, Journal of Applied Behavior Analysis, 1968, 1 , 79–89), several departures made them unique. First, self-pacing was curtailed because students were required to master one unit per week or drop the course. Second, proctors met with students in small groups, usually giving individual tutoring only to those students who did not pass the quiz on the first attempt. Finally, students were asked to attend one lecture per week. Students in the conventional lecture group were not asked to pass weekly quizzes, but instead attended three 50-min lectures each week. Two of these lectures followed the textbook material closely, while the third, which was also attended by students from the contingency management course, covered material only indirectly related to the text. This partition of lecture content allowed material to be similar across the two instructional groups. Although students in the lecture condition were told they could obtain copies of the quizzes, few of them did so. Course grades were determined by scores on two 45-item multiple-choice hourly exams, each covering half the semester material (each worth 25%), and by a 90-item final exam, which served as a measure of short-term retention. Before analyzing the follow-up data, several characteristics of the returning students were compared to determine the comparability of the sample from the two original classes. Most important, both attrition and the current mean GPAs of students from the two classes were very similar. These considerations, and others, suggested there was no systematic sampling bias to confound comparisons of student performance. A 2 (contingency management versus traditional lecture) by 3 (high, medium, and low GPA) analysis of variance was computed on the course final-exam scores and the follow-up measures. Instructional procedure and GPA interacted on the final exam such that low and medium GPA students performed significantly better under contingency management, but there was no significant effect of instructional procedure with high GPA students. On the 2-yr retention measures, students from the contingency management course performed significantly (p < 0.01) better on items drawn from quizzes used in their original course, and marginally better (p < 0.10) on items drawn from the final exams, but no interactions with GPA appeared. Furthermore, instructional method produced no significant main effects or interaction with how many students became majors or minors in psychology, how many psychology courses were later taken, how many books in psychology were reported to have been read, or on students' evaluation of the interest and importance of psychology.     

Precriterion stationarity in markovian learning models

Two forms of stationarity prior to criterion in absorbing Markov chains are examined. Both forms require that the probability of a particular response on a particular trial before absorption be independent of trial number. The stronger of these forms holds that this is true independent of starting state; the weaker, only for a specified set of starting probabilities. Simple, necessary and sufficient conditions for both forms are developed and applied to several examples.The author would like to thank Charles Lewis for his help in developing this article, and Peter Polson of the University of Colorado and an anonymous referee for several fruitful suggestions made in reviews of earlier versions.     

人际关系适应特征的情境评价方法研究

本研究运用情境评价法对人际关系适应特征进行了实验研究 ,结果表明 :1以 Schutz提出的人际关系六因素为评价标准 ,采用情境评价法比问卷形式能更有效地揭示人际适应特征 ;2在情境评价中 ,以合作为主的情境设置比以竞争为主的情境设置更利于反映出人际适应特征 ;3情境评价采用定向、组织、交流和问题解决等阶段的过程设计符合情境评价的实际进程 ,有助于分阶段展开被试的行为特征 ,提高情境评价的可控性和准确性。     

主动性人格与工作绩效：个体-组织匹配的调节作用

本研究的目的：考察主动性人格在中国企业内对工作绩效的预测性及个体-组织匹配在其中的调节作用。方法：研究以三家中国本土企业的253名员工为被试,使用修订过的主动性人格量表。结果：（1）除了大五人格和社会赞许性之外,主动性人格还可以解释工作绩效8．5％的方差变异;（2）整体分析时只有团队导向因素显著,单独分析时高新独资企业中注重细节因素、团队导向因素和结果导向因素有显著的调节作用;民营企业中尊重员工因素有显著的调节作用;国有企业中革新性因素和团队导向因素有显著的调节作用。结论：主动性人格可以有效地预测工作绩效,个体-组织匹配则根据不同的企业组织,不同的因素在主动性人格和工作绩效的关系中起调节作用。关于本研究的贡献与不足以及未来的研究方向都有所讨论。     

群体绩效和团队效能研究的新进展

近几年来 ,在群体和团队方面的研究比较活跃 ,并取得了不少新的进展。本文在近几年的国内外文献的基础上 ,着重讨论几个与群体绩效有关的长期存在的问题 ,主要包括群体构成、凝聚力、激励、领导、群体目标等因素。同时探讨团队与组织之间的内在联系。然后 ,讨论团队效能研究中的几个开放性问题 ,以及将来研究的新动向新趋势。最后 ,对影响团队效能的几个关键的调节因素作一简要的讨论。     

工作狂领导对团队绩效的双刃剑作用机制

随着行业竞争压力的加剧, 工作狂领导在职场中愈发普遍。然而对于工作狂领导在组织中的有效性, 无论是在实践界还是在学术界都尚存争议。鉴于此, 本研究基于社会信息加工理论, 分析工作狂领导对团队绩效的双刃剑作用机制。通过对某物业管理服务公司进行多时点、多来源的问卷调查, 研究结果表明：一方面, 工作狂领导会提升团队工作卷入, 促进团队绩效; 另一方面, 工作狂领导也会引发团队消极情绪, 损害团队绩效表现; 团队工作重要性能有效缓解工作狂领导对团队绩效的消极作用, 同时促进其积极作用。以上研究发现有助于辨证理解工作狂领导有效性, 为组织培育管理人才提供有益借鉴。     

不同社交媒体使用目的对员工工作绩效的影响机制

基于工作要求-资源理论, 本研究探讨了两种社交媒体使用目的对员工工作绩效影响的内部作用机制, 进而分析两种社交媒体使用目的对员工工作绩效的影响效果。通过369份“领导者-下属”匹配数据, 研究发现：(1)基于工作、社交的社交媒体使用均促进员工工作绩效; (2)基于工作、社交的社交媒体使用均通过工作投入影响工作绩效, 基于社交的社交媒体使用还通过关系冲突影响工作绩效; (3)社交媒体的工作使用和社交使用对员工工作绩效的影响存在相互替代关系。本研究结果不仅从理论上拓展了社交媒体使用的研究视角, 为后续研究提供新的理论框架, 同时通过比较分析为组织管理社交媒体使用提供了新思路。     

Intraindividual variability in driving simulator parameters of healthy drivers of different ages

Intraindividual variability is a fundamental behavioural characteristic of aging but has been examined to a very limited extent in driving. This study investigated intraindividual variability in driving simulator measures in healthy drivers of different ages using the coefficient of variation (COV) as a variability measure. Participants were healthy volunteers who were regular drivers, who were divided into a “young” group, a “middle-aged” group, and an “old” group. They drove in two environments (rural, 72 drivers; urban, 60 drivers), under conditions of moderate and high traffic load, without and with distraction (conversation). Significant differences in COV were observed in the rural condition for headway distance and lateral position as a function of traffic load, with high traffic (without and with distraction) resulting in increased COV of headway and decreased COV of lateral position. Significant differences in COV were observed in the urban condition for headway distance only, with high traffic (without and with distraction) resulting in increased COV of headway. No age effects were found for any of the driving conditions. The results indicate that traffic load affected headway distance and lateral position in opposite directions in all three age groups: high traffic resulted in increased variability of headway in both rural and urban conditions but in decreased variability of lateral position in the rural conditions compared to moderate traffic irrespective of distraction. The study indicates that driving conditions affect the intraindividual variability of driving measures in selective ways, which may be linked to the extent of automatization of the driving variables and to adaptive changes to traffic condition challenges.     

Olympic coaching excellence: A quantitative study of psychological aspects of Olympic swimming coaches

ObjectivesResearchers investigating the psychological aspects of Olympic coaching have studied coaches as a homogenous group, and the effect of coaches' psychological characteristics on performance-related outcomes remains unclear. The objective of this research, therefore, was to examine whether psychological factors discriminate between world-leading (i.e., Olympic gold medal winning) and world-class (i.e., Olympic non-gold medal winning) coaches.MethodSelf-reported psychometric questionnaires were completed by 36 Olympic coaches who had collectively coached 169 swimmers to win 352 Olympic medals, of which 155 were gold medals. The questionnaires assessed 12 variables within the Big Five personality traits, the dark triad, and emotional intelligence, and the data was analyzed using three one-way multivariate analysis of variance and follow-up univariate F-tests.ResultsThe results showed that the 21 world-leading coaches were significantly more agreeable, had greater perception of emotion, were better at managing their own emotion, and were less Machiavellian and narcissistic than the 15 world-class coaches. The groups of coaches showed no differences in levels of conscientiousness, openness to experience, extraversion, neuroticism, psychopathy, managing other emotion, or utilization of emotion.ConclusionsPsychological factors discriminate between world-leading and world-class coaches. The implications of these differences are discussed for psychology researchers and practitioners operating in Olympic sport.     

心理因素与学业表现：机器学习分类预测模型

随着高等教育规模的扩大,学业表现不良逐渐成为一个不容忽视的现象,对学业表现不良的学生进行预测并提早给予干预可降低退学率并减少教育资源的损失。由于导致学业表现不良的因素众多且关系复杂,传统的基于相关分析的研究方法很难建立早期预测模型并进行应用。本研究旨在利用机器学习算法,对数据进行挖掘,并建立学业表现预测模型。研究对653名大一新生的心理健康状况、应对方式、人格、内外控倾向和相关人口统计学信息进行了收集,并在一年后采集了其学业成绩,利用随机森林(RF)、K邻近（KNN）、支持向量机（SVM）、决策树（DT）、朴素贝叶斯（NB）等机器学习算法建立了分类模型。结果显示,随机森林算法在识别学业表现不良学生时有最好的表现,其中准确率95.86%, 召回率91.83%,f1分数为93.80%。特征重要性分析显示,前10个对模型有最高贡献度的特征包括：年龄、性别、是否为独生子、内外控倾向、神经质倾向、积极应对倾向、宜人性倾向、一般症状指数、开放性倾向和焦虑水平。为避免过度拟合问题,本研究在一年后收集的166名新生样本中进行了模型验证,结果显示模型在新数据集上有较好的泛化表现,其中f1分数90.90％,准确率92.60％,召回率89.26％。研究提示基于人口统计学和心理测评信息,机器学习算法有助于及早识别学业表现不良学生并为开展早期干预提供启示。