“Show Me the Money!” Construct and Predictive Validation of the Intercultural Business Corruptibility Scale (IBCS)

2009 ◽  
pp. 151-176 ◽  
Author(s):  
Chan-Hoong Leong ◽  
Weirong Lin
2015 ◽  
Vol 56 (11) ◽  
pp. 756 ◽  
Author(s):  
Jae Yoon Kim ◽  
Seung Bin Kim ◽  
Jong Hyun Pyun ◽  
Hyung Keun Kim ◽  
Seok Cho ◽  
...  

2017 ◽  
Vol 81 (10) ◽  
pp. S353 ◽  
Author(s):  
Katalin Szanto ◽  
Hanga Galfalvy ◽  
John Keilp ◽  
Alexandre Dombrovski

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Wagner Mateus Costa Melo ◽  
Renzo Garcia Von Pinho ◽  
Marcio Balestre

The present study aimed to predict the performance of maize hybrids and assess whether the total effects of associated markers (TEAM) method can correctly predict hybrids using cross-validation and regional trials. The training was performed in 7 locations of Southern Brazil during the 2010/11 harvest. The regional assays were conducted in 6 different South Brazilian locations during the 2011/12 harvest. In the training trial, 51 lines from different backgrounds were used to create 58 single cross hybrids. Seventy-nine microsatellite markers were used to genotype these 51 lines. In the cross-validation method the predictive accuracy ranged from 0.10 to 0.96, depending on the sample size. Furthermore, the accuracy was 0.30 when the values of hybrids that were not used in the training population (119) were predicted for the regional assays. Regarding selective loss, the TEAM method correctly predicted 50% of the hybrids selected in the regional assays. There was also loss in only 33% of cases; that is, only 33% of the materials predicted to be good in training trial were considered to be bad in regional assays. Our results show that the predictive validation of different crop conditions is possible, and the cross-validation results strikingly represented the field performance.


1967 ◽  
Vol 20 (2) ◽  
pp. 623-632 ◽  
Author(s):  
Walter V. Clarice ◽  
Kermit R. Hasler

The 81 items on the adjective check list of the Activity Vector Analysis (AVA) were analyzed for discrimination between a sample of 100 male prisoners and 5000 applicants and employees representative of the sex and occupation distributions in business and industry. T-score norms were established for the resulting scoring stencil of 41 items, using a sample of 400 male and 100 female non-prisoner AVAs. Additional samples of AVA forms were drawn randomly from data files for testing sex difference and discriminant cross validation. A significant ( p = .001) sex difference on the experimental measure was found among non-prisoners (102 males vs 99 females) and 113 male and 76 female prisoners. Separate discriminant cross-validities among these subsamples were obtained for males and females. Correlations between the new measure and the Vectors of AVA and the factor scores of the 16 PF Test ( n = 104 male junior college students) provided some evidence of construct validity and meaning. Predictive validation research has been initiated.


2003 ◽  
Vol 7 (4) ◽  
pp. 124-135 ◽  
Author(s):  
Sangphet Hanvanich ◽  
Cornelia Dröge ◽  
Roger Calantone

The knowledge‐based view of the firm suggests that knowledge is the firm’s key resource for creating and sustaining economic rent. This perspective raises an important question for marketers: What is marketing knowledge? We argue first that marketing knowledge resides in three key marketing processes: product development management, customer relationship management, and supply chain management. Second, we argue that marketing knowledge is the extent of understanding of these three marketing processes, an extent which can be measured by evaluating awareness of factors, control of factors, and application of knowledge in new markets. We empirically test this conceptualization of marketing knowledge and, as a predictive validation, examine its relationship with marketing innovation.


2018 ◽  
Author(s):  
Bruce Luber ◽  
David C. Jangraw ◽  
Greg Appelbaum ◽  
Austin Harrison ◽  
Susan Hilbig ◽  
...  

AbstractPrevious research modeling EEG, fMRI and behavioral data has identified three spatially distributed brain networks that activate in temporal sequence, and are thought to enable perceptual decision-making during face-versus-car categorization. These studies have linked late activation (>300ms post stimulus onset) in the lateral occipital cortex (LOC) to object discrimination processes. We applied paired-pulse transcranial magnetic stimulation (ppTMS) to LOC at different temporal latencies with the specific prediction, based on these studies, that ppTMS beginning at 400ms after stimulus onset would slow reaction time (RT) performance. Thirteen healthy adults performed a two-alternative forced choice task selecting whether a car or face was present on each trial amidst visual noise pre-titrated to approximate 79% accuracy. ppTMS, with pulses separated by 50ms, was applied at one of five stimulus onset asynchronies: -200, 200, 400, 450, or 500ms, and a sixth no-stimulation condition. As predicted, TMS at 400ms resulted in significant slowing of RTs, providing causal evidence in support of LOC contribution to perceptual decision processing. In addition, TMS delivered at -200ms resulted in faster RTs, indicating early stimulation may result in performance enhancement. These findings build upon correlational EEG and fMRI observations and demonstrate the use of TMS in predictive validation of psychophysiological models.


2004 ◽  
Author(s):  
Leonard A. White ◽  
Lisa M. Penney ◽  
Valen B. Lee ◽  
Patrick W. Connell ◽  
Walter C. Borman ◽  
...  

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