The Vocabulary and Overclaiming Test (VOC-T)

2013 ◽  
Vol 34 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Matthias Ziegler ◽  
Christoph Kemper ◽  
Beatrice Rammstedt
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Signal Detection Theory ◽  
Online Survey ◽  
Vocabulary Knowledge ◽  
Online Study ◽  
Accuracy Index ◽  
Bias Index ◽  
Reliability Estimates ◽  
Verbal Knowledge

The present research aimed at constructing a questionnaire measuring overclaiming tendencies (VOC-T-bias) as an indicator of self-enhancement. An approach was used which also allows estimation of a score for vocabulary knowledge, the accuracy index (VOC-T-accuracy), using signal detection theory. For construction purposes, an online study was conducted with N = 1,176 participants. The resulting questionnaire, named Vocabulary and Overclaiming – Test (VOC-T) was investigated with regard to its psychometric properties in two further studies. Study 2 used data from a population representative sample (N = 527), and Study 3 was another online survey (N = 933). Results show that reliability estimates were satisfactory for the VOC-T-bias index and the VOC-T-accuracy index. Overclaiming did not correlate with knowledge, but it was sensitive to self-enhancement supporting the construct validity of the test scores. The VOC-T-accuracy index in turn covaried with general knowledge and even more so with verbal knowledge, which also supports construct validity. Moreover, the VOC-T-accuracy index had a meaningful correlation with age in both validation studies. All in all, the psychometric properties can be regarded as sufficient to recommend the VOC-T for research purposes.

Convex hull of chain-coded blob

1989 ◽  
Vol 136 (6) ◽  
pp. 530
Author(s):  
G.R. Wilson ◽  
B.G. Batchelor
Keyword(s):  
Convex Hull

Forensic science evidence: Naive estimates of false positive error rates and reliability

2020 ◽  
Author(s):  
Kristy Martire ◽  
Agnes Bali ◽  
Kaye Ballantyne ◽  
Gary Edmond ◽  
Richard Kemp ◽  
...  
Keyword(s):  
Forensic Science ◽  
False Positive ◽  
Error Rates ◽  
Forensic Sciences ◽  
Positive Error ◽  
False Positive Error ◽  
Reliability Estimates ◽  
Positive Report ◽  
Science Evidence ◽  
Science Disciplines

We do not know how often false positive reports are made in a range of forensic science disciplines. In the absence of this information it is important to understand the naive beliefs held by potential jurors about forensic science evidence reliability. It is these beliefs that will shape evaluations at trial. This descriptive study adds to our knowledge about naive beliefs by: 1) measuring jury-eligible (lay) perceptions of reliability for the largest range of forensic science disciplines to date, over three waves of data collection between 2011 and 2016 (n = 674); 2) calibrating reliability ratings with false positive report estimates; and 3) comparing lay reliability estimates with those of an opportunity sample of forensic practitioners (n = 53). Overall the data suggest that both jury-eligible participants and practitioners consider forensic evidence highly reliable. When compared to best or plausible estimates of reliability and error in the forensic sciences these views appear to overestimate reliability and underestimate the frequency of false positive errors. This result highlights the importance of collecting and disseminating empirically derived estimates of false positive error rates to ensure that practitioners and potential jurors have a realistic impression of the value of forensic science evidence.

Saliency Detection Based on Improved Manifold Ranking via Convex Hull

2019 ◽  
Vol 31 (5) ◽  
pp. 761
Author(s):  
Xiao Lin ◽  
Zuxiang Liu ◽  
Xiaomei Zheng ◽  
Jifeng Huang ◽  
Lizhuang Ma
Keyword(s):  
Convex Hull ◽  
Saliency Detection ◽  
Manifold Ranking

Addressing Reliability Estimates When the Population is Small: Can Social Cognition Help?

1993 ◽  
Vol 73 (2) ◽  
pp. 499-505 ◽  
Author(s):  
Scott W. Brown ◽  
Mary M. Brown
Keyword(s):  
Social Cognition ◽  
Communication Satisfaction ◽  
Systematic Desensitization ◽  
Internal Reliability ◽  
Satisfaction Scale ◽  
Measurement Framework ◽  
Hospital Intensive Care Unit ◽  
Reliability Estimates ◽  
Critical Feedback ◽  
Gathering Data

One of the issues facing researchers studying very select populations is how to obtain reliability estimates for their instruments. When the populations and resulting samples of studies are very small and select, gathering data for typical reliability estimates becomes very difficult. As a result, many researchers ignore the concern about reliability of their instrumentation and forge ahead collecting data. In response to this concern, Bandura's model of social cognition and Wolpe's model of systematic desensitization were combined and applied to a group of 90 undergraduates completing a Communication Satisfaction Scale designed to assess the attitudes of intubated patients in a hospital Intensive Care Unit. Stimuli (text, auditory and visual) were provided to sensitize the subjects to the intubation procedure and to enable the subjects to imagine what it is like to be an intubated patient. The subjects responded to 10 items focusing on the communication issues of intubated patients on a scale in Likert format. Internal reliability (Cronbach alpha) was 0.83 for the entire scale. The results are discussed within both a social cognition and a measurement framework. While the resulting reliabilities cannot be directly applied to the intubated sample, the procedure may provide critical feedback to researchers and instrument developers prior to the actual administration of the instrument in research.

scholarly journals On the expected diameter, width, and complexity of a stochastic convex hull

2019 ◽  
Vol 82 ◽  
pp. 16-31 ◽  
Author(s):  
Jie Xue ◽  
Yuan Li ◽  
Ravi Janardan
Keyword(s):  
Convex Hull
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