基于一般线性模型框架的心理统计教学

心理统计学教学中,不同的统计方法常常是独立教学,致使学生不易理解各种方法之间的关系。事实上,t检验、方差分析和多元线性回归等方法都可以统一到一般线性模型的框架下,而结构方程是对这个框架的最一般化的描述,且结构方程路径图是呈现这个框架的形象工具。因此,本文尝试用路径图的方式来呈现心理学研究中最常用的统计方法,并将结构方程分析结果与传统分析结果进行对照,帮助学生建立一般线性模型上位概念,将以往孤立的统计方法联系起来。     

映射具体性和语境线索对新颖隐喻加工的影响

研究旨在考察映射具体性对新颖隐喻加工的影响及语境线索的作用,并进一步探索映射具体性高的隐喻加工困难的原因。实验1的ERPs结果发现：知觉隐喻反应时显著长于物理-心理隐喻和直接语义;两类隐喻在有语境线索下的反应时显著长于无语境线索。有语境线索的知觉隐喻比无语境线索在前部位置诱发了更负的N400成分,在中部诱发了更正的LPC成分;有语境线索的物理-心理隐喻在前部、顶部比无语境线索诱发了更正LPC成分。实验2的语义判断任务结果发现：在映射具体性不同的两类隐喻中,多映射通路隐喻的反应时均显著长于单一映射通路隐喻。总体结果支持语境线索对新颖隐喻加工的干扰效应。     

When Good Feelings Turn Mixed: Affective Dynamics and Big Five Trait Predictors of Mixed Emotions in Daily Life

In this study, we examine how daily life fluctuations in positive affect (PA) and negative afect (NA) relate to mixed emotions—that is, simultaneous positive and negative feelings. We utilised three experience sampling studies (total N = 275), in which participants reported their affect 10 times each day for up to 14 days. Because people generally experience fairly stable moderate levels of PA in daily life, we proposed that mixed emotions would typically occur when NA increases and overlaps with, but does not entirely eliminate, PA. Accordingly, within individuals, we found that mixed emotions in daily life were more strongly predicted by changes in NA and the occurrence of negative events than by changes in PA and positive events. At the between-person level, individuals with more variable NA, more stable PA, and higher trait Neuroticism scores experienced higher average levels of mixed emotions. Further, we found evidence that the average magnitude of NA increases may partially mediate the association between Neuroticism and mixed emotions. We also found that positive predictors of mixed emotions are negative predictors of individuals' within-person PA/NA correlations—that is, affective synchrony. Our findings elucidate trait predictors and affective dynamics of daily life mixed emotions, which appear closely intertwined with NA variability. © 2020 European Association of Personality Psychology     

归纳推理的抽样理论

作者提出归纳推理的抽样理论,认为归纳推理实质是根据与归纳特征有关的抽样样本情况来推断结论类别具有归纳特征的可能性,其中的抽样可分为类别抽样和特征抽样两种。以大学生为被试的两个实验结果一致支持抽样理论而不是别的归纳推理理论。对于归纳推理的主要现象,抽样理论比其它的相似性解释具有更大的解释范围,特别是能够解释其它理论严格不能解释的归纳推理非对称性现象     

判断偏差分析的认知-生态取样途径

对判断偏差的研究曾主要侧重于考察个体的动机和认知缺陷,而近期从认知-生态取样角度对判断偏差进行的研究则表明,判断偏差源于人与环境的交互作用。从认知-生态取样角度分析人的判断偏差着重考察以下四方面的问题：基于样本的判断涉及的多个变量,现实环境中刺激的分布,取样过程及其结果,取样过程中的心理预设与限制。认知-生态取样角度的研究对判断偏差产生的原因提供了一种全新的解释,同时,它也存在一些亟待解决的问题     

Inferential theory for partially disattenuated correlation coefficients

Four measurement designs are presented for use with correlation coefficients corrected, in one variable, for attenuation due to unreliability—coefficients that we term partially disattenuated correlation coefficients. Asymptotic expressions are derived for the variances and covariances of the estimates accompanying each design. Empirical simulation results that bear on the preceding mathematical developments are then presented. In addition to providing insights into the distributions of the estimates, the empirical results demonstrate satisfactory Type I error control for typical inferential applications. Power is shown to be equal to or greater than that of corresponding product-moment correlations in three of the four designs. Implications for practice are discussed.Support for the research reported in this article was provided by the Natural Sciences and Engineering Research Council of Canada. The authors acknowledge with thanks the contributions of Nancy E. Heckman to some of the theoretical aspects of the study.     

ON THE INABILITY OF INTERVAL TIME SAMPLING TO REFLECT FREQUENCY OF OCCURRENCE DATA1

Interval time sampling yields the result, percentage of intervals scored. It is rudimentary to note that this measure per se does not constitute a response dimension. It is a useful behavioral measure, therefore, only to the extent that it accurately reflects the nature and degree of the fundamental dimensions from which it is drawn i.e., frequency and duration. The correspondence between scored intervals and response duration is fairly well understood (Journal of Applied Behavior Analysis, 1975, 8 , 463–469; 1977, 10 , 325–332). This study determined the correspondence between scored intervals and response frequency. Eleven, 30-minute experimental sessions that differed along the variables of frequency of occurrence and time per response (the average length of a response per session) were computer simulated. In the first group of four sessions, the frequencies were 45, 100, 150, and 300; in these sessions, all responses ranged from one to three seconds. In the second group of four sessions, the frequencies were 31, 61, 101, and 152; in these sessions, all responses ranged from three to nine seconds. In the last group of three sessions, the frequencies were 25, 34, and 50; here, all responses ranged from nine to 27 seconds. The response distribution within the above ranges was rectangular, with each whole second represented once. The responses were selected by a random number generator, and on each trial every number in the distribution had an equal probability of occurrence. These provisions produced a linear pattern of responding. The time per response in the three groups of sessions were 2, 6, and 18 seconds. For all sessions, event recordings were made and analyzed. The analysis consisted of using partial interval time sampling to determine the percentage of intervals scored; this total was subdivided into intervals containing (1) single responses, (2) multiple responses, (3) continuing responses, and (4) response initiations or terminations. The analysis was performed when the length of the observation interval was 5, 10, 20, 30, 60, and 120 seconds. An additional session drawn from a study that contained real-life data was subjected to this same analysis. The most significant results were derived by finding the ratio of scored intervals containing single responses to the total intervals scored. If every scored interval contained a single response, this ratio would equal 1.0; if no scored interval contained a single response, the ratio would be 0.0. It can be seen that this ratio is an objective expression of the validity of interval time sampling as a measure of response frequency. Of 66 data points (11 sessions × six observation lengths per session), only five were equal to or greater than 0.80. These five points were all found in just two sessions (f = 45, 100). A validity index of less than 0.50 was observed in 49 of the 66 points. Also, the validity index increased, peaked, and then decreased within sessions as the length of the observation interval was increased. The results from the real-life session were in close agreement with those obtained from the simulations. The importance of these and previous findings lies in the demonstration that changes in scored intervals need not represent true behavior change. The data indicate that there are many combinations of behavioral frequency and duration where interval time sampling cannot produce valid measurement results.     

Applications of combinatorial programming to data analysis: The traveling salesman and related problems

The Traveling Salesman and similar combinatorial programming tasks encountered in operations research are discussed as possible data analysis models in psychology, for example, in developmental scaling, Guttman scaling, profile smoothing, and data array clustering. In addition, a short overview of the various computational approaches from this area of combinatorial optimization is included.The research of the first author was supported by a research grant SOC-75-07860 from the National Science Foundation.     

Trace autoshaping: Acquisition, maintenance, and path dependence at long trace intervals

The pigeon's tendency to acquire and maintain signal-directed key pecking under a trace conditioning procedure was parametrically examined. In Experiment 1, the percentage of CS trials with a key peck response was a decreasing function of the trace interval for separate groups of pigeons. The majority of subjects acquired signal-directed key pecking with trace intervals as long as 36 sec. In Experiment 2, differential maintenance of key pecking occurred across trace intervals in a within-subject procedure. Maintenance of key pecking at 36- and 60-sec trace intervals was path dependent in that responding depended on the subject's performance under the preceding trace interval.     

Accuracy of observational data with whole interval,partial interval,and momentary time-sampling recording techniques

The purpose of the study was to compare the accuracies obtained from whole interval, partial interval, and momentary time-sample recording procedures. Two types of accuracies were defined. Between-methods accuracy is the degree to which an observer using a particular recording method agrees with a standard using a continuous recording method. Within-methods accuracy is the degree to which an observer and a standard agree when both use the same recording method. Fifty-four undergraduate students viewed a videotape of a woman twisting her hair and recorded the occurrence or nonoccurrence of the behavior using one of the three recording methods. Tapes were divided into segments with low, intermediate, and high rates of behavior. Partial and whole interval recording obtained poorer between-methods accuracies than momentary time sampling. Results showed that whole interval and momentary time-sampling procedures yielded higher within-method accuracies than partial interval recording. Thus, momentary time-sampling recording provided the advantages of both greater representativeness and as few or fewer observer errors than whole or partial interval recording procedures. Use of the interval recording methods by researchers must be justifiable within this framework.