Stepwise contouring of efficient criterion vectors for large-scale MOLP

In this paper a new method of presenting the overall (focused) structure of the efficient criterion vectors (N) for large-scale MOLP is proposed. The proposed algorithm ASEOV (approximation of the set of efficient objective vectors) determines the representative subset of N and ensures full coverage of N , with corresponding coverage precision indicated. ASEOV works in objective space directly and eliminates unnecessary computational effort at the collapsing extreme points of X , which are transformed to non-extreme points in objective space. The Tchebycheff metric is employed to measure the coverage precision. ASEOV allows a decision maker (DM) to control the determination procedure by assessing the coverage allowance for each criterion. When the DM's preference is available, ASEOV can focus contouring on the subset of N which fits with the extracted preference. Combined with proper interactive methods, this focused contour over N can reduce the DM's burden, inconsistency or cognitive bias in assessing his preference from which to derive the final best-compromise solution. An illustrative example is presented.     

Quantifying precision and availability of location memory in everyday pictures and some implications for picture database design

The authors investigated whether memory for object locations in pictures could be exploited to address known difficulties of designing query languages for picture databases. M. W. Lansdale's (1998) model of location memory was adapted to 4 experiments observing memory for everyday pictures. These experiments showed that location memory is quantified by 2 parameters: a probability that memory is available and a measure of its precision. Availability is determined by controlled attentional processes, whereas precision is mostly governed by picture composition beyond the viewer's control. Additionally, participants' confidence judgments were good predictors of availability but were insensitive to precision. This research suggests that databases using location memory are feasible. The implications of these findings for database design and for further research and development are discussed.     

The Paradox of Abstraction: Precision Versus Concreteness

We introduce a novel measure of abstractness based on the amount of information of a concept computed from its position in a semantic taxonomy. We refer to this measure as precision. We propose two alternative ways to measure precision, one based on the path length from a concept to the root of the taxonomic tree, and another one based on the number of direct and indirect descendants. Since more information implies greater processing load, we hypothesize that nouns higher in precision will have a processing disadvantage in a lexical decision task. We contrast precision to concreteness, a common measure of abstractness based on the proportion of sensory-based information associated with a concept. Since concreteness facilitates cognitive processing, we predict that while both concreteness and precision are measures of abstractness, they will have opposite effects on performance. In two studies we found empirical support for our hypothesis. Precision and concreteness had opposite effects on latency and accuracy in a lexical decision task, and these opposite effects were observable while controlling for word length, word frequency, affective content and semantic diversity. Our results support the view that concepts organization includes amodal semantic structures which are independent of sensory information. They also suggest that we should distinguish between sensory-based and amount-of-information-based abstractness.     

Comparisons Across Depression Assessment Instruments in Adolescence and Young Adulthood: An Item Response Theory Study Using Two Linking Methods

Item response theory (IRT) methods allow for comparing the utility of instruments based on the range and precision of severity assessed by each instrument. As adolescents and young adults can display rapid increases in depressive symptoms, there is a crucial need to sensitively assess mild elevations of symptoms (as an index of initial risk) and moderate-severe symptoms (as an indicator of treatment disposition). We compare the information assessed by the Beck Depression Inventory (BDI) to the newly developed Patient Reported Outcome Measurement Information System – Depression measure (PROMIS-Depression), and the Center for Epidemiologic Studies – Depression (CES-D) scale. The present work is based on data from two fully independent samples of community adolescents and young adults. One sample completed the BDI and CES-D (n?=?1,482) and the second sample (n?=?673) completed the PROMIS-Depression measure and the CES-D. Using two different IRT-based linking methods, (1) equating based on common items and (2) concurrent calibration methods, analyses revealed that the PROMIS-Depression measure assessed information over the widest range of depressive severity with greatest measurement precision relative to the other instruments. This was true for both the 28-item and 8-item versions of the PROMIS-Depression measure. Findings suggest that the PROMIS-Depression measure assessed depression severity with greatest precision and over the widest severity range of the assessed instruments. However, future work is necessary to demonstrate that the PROMIS-Depression measure has reliable associations with external criteria and is sensitive to treatment response.     

Individual differences in spatial mental imagery

In this article, we report a new image-scanning paradigm that allowed us to measure objectively individual differences in spatial mental imagery—specifically, imagery for location. Participants were asked to determine whether an arrow was pointing at a dot using a visual mental image of an array of dots. The degree of precision required to discriminate “yes” from “no” trials was varied. In Experiment 1, the time to scan increasing distances, as well as the number of errors, increased when greater precision was required to make a judgement. The results in Experiment 2 replicated those results while controlling for possible biases. When greater precision is required, the accuracy of the spatial image becomes increasingly important—and hence the effect of precision in the task reflects the accuracy of the image. In Experiment 3, this measure was shown to be related to scores on the Paper Folding test, on the Paper Form Board test, and on the visuospatial items on Raven's Advanced Progressive Matrices—but not to scores on questionnaires measuring object–based mental imagery. Thus, we provide evidence that classical standardized spatial tests rely on spatial mental imagery but not object mental imagery.     

The Error-Oriented Motivation Scale: An examination of structural and convergent validity

The current paper describes an analysis of the factor structure and convergent validity of the Error-Oriented Motivation Scale (EOMS). The EOMS is an attempt to validate a context-general and brief measure of error orientations theoretically similar to the Error Orientation Questionnaire (EOQ) written by (Rybowiak, Garst, Frese, and Batinic (1999)). Motivation theory, particularly approach/avoidance motives and goal theory, was chosen as a foundational model for the new EOMS measure, arguing that errors take on properties of goals when they occur by creating a discrepancy, which generates arousal and direction toward a solution. In this article, the factor structure of the EOMS is examined, as well as expected correlations with subscales of the EOQ. The discussion focuses on the advantages of the EOMS measure and suggestions for its further validation and use in applied settings.     

A study of artificial eyes for the measurement of precision in eye-trackers

The precision of an eye-tracker is critical to the correct identification of eye movements and their properties. To measure a system’s precision, artificial eyes (AEs) are often used, to exclude eye movements influencing the measurements. A possible issue, however, is that it is virtually impossible to construct AEs with sufficient complexity to fully represent the human eye. To examine the consequences of this limitation, we tested currently used AEs from three manufacturers of eye-trackers and compared them to a more complex model, using 12 commercial eye-trackers. Because precision can be measured in various ways, we compared different metrics in the spatial domain and analyzed the power-spectral densities in the frequency domain. To assess how precision measurements compare in artificial and human eyes, we also measured precision using human recordings on the same eye-trackers. Our results show that the modified eye model presented can cope with all eye-trackers tested and acts as a promising candidate for further development of a set of AEs with varying pupil size and pupil–iris contrast. The spectral analysis of both the AE and human data revealed that human eye data have different frequencies that likely reflect the physiological characteristics of human eye movements. We also report the effects of sample selection methods for precision calculations. This study is part of the EMRA/COGAIN Eye Data Quality Standardization Project.     

Cognitive Assessment With Disabled Readers

This paper describes an approach to cognitive assessment that involves a synthesis of traditional psychometric approach and the more recent information-processing approaches. In this combined approach, psychometric tests are supplemented by tasks adapted from information-processing research. The paper focuses on the use of the approach with disabled readers, although the approach may be generalized to many different populations. The Test of Syllable and Phoneme Counting, a measure of awareness of the sound structure of speech, is described, as an example of an information-processing task that would be useful with younger disabled readers. Guidelines for using information-processing measures are also discussed.     

一种对动物学习记忆能力突变筛查的新途径

本文详细描述了一种全自动化的行为检测方案.在自然饲养环境/检测环境(24/7)中,我们测量了小鼠针对两个给食器中获得食物的比例与它们在相应给食器停留时长的比例进行匹配的精确性与准确性.该方案是对传统条件性习得(trials-to-acquisition)行为测验设备的改进,可以检测动物时间间隔能力的精确性与准确性,对定时目标选择的相关概率的效果,以及记忆一天中从不同给食器中获得食物次数的精确性与准确性.该压缩系统避免了在整个实验过程中对小鼠的持握操作,可忽略实验者/技术员的实验操作时间,而且可以递送小鼠置入实验环境后,7～9个实验日中全部3组实验流程产生的大量结果.其中,第一个实验流程为单个24小时周期内完成的时间匹配能力的筛查,它对动物的时间、空间估计能力的记忆机制进行精确检测.因此,该系统允许在有限的实验空间、较短的实验周期内,对大量的实验小鼠进行有可能存在的学习记忆能力缺陷进行大规模筛查.此外,该系统运行所依赖的软件可以在公共开放平台获得.     

Measuring text similarity based on structure and word embedding

The problem of finding the similarity between natural language sentences is crucial for many applications in Natural Language Processing (NLP). An accurate calculation of similarity between sentences is highly needed. Many approaches depend on word-to-word similarity to measure sentence similarity. This paper proposes a new approach to improve the accuracy of the sentence similarity calculation. The proposed approach combines different similarity measures in the calculation of sentence similarity. In addition to traditional word-to-word similarity measure, the proposed approach exploits sentence semantic structure. Discourse representation structure (DRS) which is a semantic representation for natural sentences is generated and used to calculated structure similarity. Furthermore, word order similarity is measured to consider the order of words in sentences. Experiments show that exploiting structural information achieves good results. Moreover, the proposed method outperforms the current approaches on a standard benchmark dataset achieving 0.8813 Pearson correlation with human similarity.     

Assessing Sexual Orientation Symptoms in Obsessive-Compulsive Disorder: Development and Validation of the Sexual Orientation Obsessions and Reactions Test (SORT)

Obsessive-compulsive disorder (OCD) includes many symptom presentations, which creates unique diagnostic challenges. Fears surrounding one’s sexual orientation are common within OCD (also called SO-OCD), but SO-OCD is consistently misdiagnosed by physicians and psychologists. To address this issue, we describe the development of a self-report measure for assessing SO-OCD to help distinguish OCD from distress caused by a sexual orientation identity crisis. The current paper details two studies that established the psychometric properties and clinical utility of this measure. In Study 1, the factor structure, validity, and reliability were examined for the measure’s 12 items in a sample of 1,673 university students. The results revealed a two-factor solution for the measure (Factor 1: Transformation Fears; Factor 2: Somatic Checking) and preliminary evidence of validity and reliability. In Study 2, the measure was tested with LGBTQ and heterosexual community samples and clinical samples of individuals with SO-OCD and other types of OCD. The two-factor solution and evidence of validity and reliability were supported in these samples. Cut-off points were established to distinguish between community members and SO-OCD sufferers, as well as between those experiencing SO-OCD and other types of OCD. Limitations and future directions are discussed.     

Precision of Curriculum-Based Measurement Reading Data: Considerations for Multiple-Baseline Designs

Single-case designs provide an established technology for evaluating the effects of academic interventions. Researchers interested in studying the long-term effects of reading interventions often use curriculum-based measures of reading (CBM-R) as they possess many of the desirable characteristics for use in a time-series design. The reliability of CBM-R scores is often supported by research from group designs, but making idiographic interpretations regarding the change in a student’s oral reading rate requires attention to the precision of static scores and growth estimates. The purpose of this paper is twofold. First, we discuss how recent empirical work on the technical adequacy of CBM-R scores has revealed multiple threats to the data-evaluation validity when CBM-R passages are used to measure oral reading rate. Second, we identify pertinent considerations for conducting a visual analysis of intervention effects based on CBM-R data. We conclude with a brief discussion of implications for researchers considering the use of CBM-R within multiple-baseline designs.     

一种对动物学习记忆能力突变筛查的新途

本文详细描述了一种全自动化的行为检测方案。在自然饲养环境/检测环境(24/7)中, 我们测量了小鼠针对两个给食器中获得食物的比例与它们在相应给食器停留时长的比例进行匹配的精确性与准确性。该方案是对传统条件性习得 (trials-to-acquisition) 行为测验设备的改进, 可以检测动物时间间隔能力的精确性与准确性, 对定时目标选择的相关概率的效果, 以及记忆一天中从不同给食器中获得食物次数的精确性与准确性。该压缩系统避免了在整个实验过程中对小鼠的持握操作, 可忽略实验者/技术员的实验操作时间, 而且可以递送小鼠置入实验环境后, 7~9个实验日中全部3组实验流程产生的大量结果。其中, 第一个实验流程为单个24小时周期内完成的时间匹配能力的筛查, 它对动物的时间、空间估计能力的记忆机制进行精确检测。因此, 该系统允许在有限的实验空间、较短的实验周期内, 对大量的实验小鼠进行有可能存在的学习记忆能力缺陷进行大规模筛查。此外, 该系统运行所依赖的软件可以在公共开放平台获得。     

An unobtrusive measurement method of the horizontal gaze angle

A horizontal gaze angle measurement device is introduced. By combining a photoelectric viewing device to measure the horizontal eye angle with a similar head angle measurement device, it is possible to measure the horizontal gaze angle without using a headrest. After discussion of circuit diagrams and measurement principles, it is shown that the measurements made with the device yield a reasonable precision. The mean absolute measurement error is below 1°. This inexpensive and unobtrusive device covers a visual field of about 20° and can be used in parallel with many tasks. Further, data on the successful application of the device in a driving simulation setting are discussed.     

The Rhythm Method: A New Method for Measuring Cognitive Load—An Experimental Dual‐Task Study

The present study joins a series of studies that used the dual‐task paradigm to measure cognitive load while learning with multimedia instruction. The goal of the current work was to develop a secondary task, to measure cognitive load in a direct and continuous way using intra‐individual, behavioral measures. The new task is achieved by utilizing internalized cues. More specifically, a previously practiced rhythm is executed continuously by foot tapping (secondary task) while learning (primary task). Precision of the executed rhythm was used as indicator for cognitive load—the higher the precision, the lower cognitive load. The suitability of this method was examined by two multimedia experiments (n₁ = 30; n₂ = 50). Cognitive load was manipulated by seductive details (Experiment 1: with vs. without) and modality (Experiment 2: on‐screen text vs. narration). Learners who learned under low cognitive load conditions (Experiment 1: without seductive details; Experiment 2: narration) showed significantly higher rhythm precision. These results provide evidence that rhythm precision allows for a precise and continuous measurement of cognitive load during learning. Copyright © 2014 John Wiley & Sons, Ltd.     

Phenomenological Argumentative Structure

The nontechnical ability to identify or match argumentative structure seems to be an important reasoning skill. Instruments that have questions designed to measure this skill include major standardized tests for graduate school admission, for example, the United States-Canadian Law School Admission Test (LSAT), the Graduate Record Examinations (GRE), and the Graduate Management Admission Test (GMAT). Writers and reviewers of such tests need an appropriate foundation for developing such questions – they need a proper representation of phenomenological argumentative structure – for legitimacy, and because these tests affect people's lives. This paper attempts to construct an adequate and appropriate representation of such structure, that is, the logical structure that an argument is perceived to have by mature reasoners, albeit ones who are untrained in logic.     

Syntactic complexity does not necessarily make sentences harder to understand

Researchers studying language comprehension have assumed that, all else being equal, more complex sentence constructions will take longer to process. However, results from experiments, such as the one presented in this paper, which use reading rates as the dependent measure suggest that it is the interaction of specific types of deep structure representations with their surface structure forms that accounts for fluctuations in readers' on-line processing of various sentence types. In particular, those sentences in which the deep structure direct object immediately precedes the verb in the surface structure sequence are easier for comprehenders to process. These data support a dual, parallel processing model of sentence comprehension in which lexical and morphological/relational information are processed independently.Johns Hopkins University.     

Inpatient adolescent group therapy as a social system

This paper describes a method of group therapy that 1) utilizes open systems theory to describe the social structure of group therapy, and 2)presents interventions drawn from Masterson's ideas for treating borderline personality disorders. Illustrations from a group therapy program for chemically dependent adolescents in a short-term, inpatient treatment unit of a general hospital are offered. It is proposed that under constrained conditions of treatment, such as those described, group therapy can be effective if there is precision about the system boundaries of task, role, time and place, and if group interventions are based upon a theoretically and clinically consistent model such as Masterson's.     

Encoding differences affect the number and precision of own-race versus other-race faces stored in visual working memory

Other-race faces are discriminated and recognized less accurately than own-race faces. Despite a wealth of research characterizing this other-race effect (ORE), little is known about the nature of the representations of own-race versus other-race faces. This is because traditional measures of this ORE provide a binary measure of discrimination or recognition (correct/incorrect), failing to capture potential variation in the quality of face representations. We applied a novel continuous-response paradigm to independently measure the number of own-race and other-race face representations stored in visual working memory (VWM) and the precision with which they are stored. Participants reported target own-race or other-race faces on a circular face space that smoothly varied along the dimension of identity. Using probabilistic mixture modeling, we found that following ample encoding time, the ORE is attributable to differences in the probability of a face being maintained in VWM. Reducing encoding time, a manipulation that is more sensitive to encoding limitations, caused a loss of precision or an increase in variability of VWM for other-race but not own-race faces. These results suggest that the ORE is driven by the inefficiency with which other-race faces are rapidly encoded in VWM and provide novel insights about how perceptual experience influences the representation of own-race and other-race faces in VWM.

     

Self-Stigma in Substance Abuse: Development of a New Measure

Little attention has been paid to the examination and measurement of self-stigma in substance misuse. This paper aims to fill this gap by reporting on the development of a new scale to measure self-stigma experienced by people who are misusing substances, the Substance Abuse Self-Stigma Scale. Content validity and item refinement occurred through an iterative process involving a literature search, focus groups, and expert judges. Psychometric properties were examined in a cross-sectional study of individuals (n?=?352) receiving treatment for substance misuse. Factor analyses resulted in a 40-item measure with self devaluation, fear of enacted stigma, stigma avoidance, and values disengagement subscales. The measure showed a strong factor structure and good reliability and validity overall, though the values disengagement subscale showed a mixed pattern. Results are discussed in terms of their implications for studies of stigma impact and intervention.