scholarly journals PCovR2: A flexible principal covariates regression approach to parsimoniously handle multiple criterion variables

Author(s):  
Sopiko Gvaladze ◽  
Marlies Vervloet ◽  
Katrijn Van Deun ◽  
Henk A. L. Kiers ◽  
Eva Ceulemans
2016 ◽  
Vol 32 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Florian Schmitz ◽  
Karsten Manske ◽  
Franzis Preckel ◽  
Oliver Wilhelm

Abstract. The Balloon-Analogue Risk Task (BART; Lejuez et al., 2002 ) is one of the most popular behavioral tasks suggested to assess risk-taking in the laboratory. Previous research has shown that the conventionally computed score is predictive, but neglects available information in the data. We suggest a number of alternative scores that are motivated by theories of risk-taking and that exploit more of the available data. These scores can be grouped around (1) risk-taking, (2) task performance, (3) impulsive decision making, and (4) reinforcement sequence modulation. Their theoretical rationale is detailed and their validity is tested within the nomological network of risk-taking, deviance, and scholastic achievement. Two multivariate studies were conducted with youths (n = 435) and with adolescents/young adults (n = 316). Additionally, we tested formal models suggested for the BART that decompose observed behavior into a set of meaningful parameters. A simulation study with parameter recovery was conducted, and the data from the two studies were reanalyzed using the models. Most scores were reliable and differentially predictive of criterion variables and may be used in basic research. However, task specificity and the generally moderate validity do not warrant use of the experimental paradigm for diagnostic purposes.


1996 ◽  
Vol 8 (3) ◽  
pp. 133-144 ◽  
Author(s):  
María del Mar del Pozo Andrés ◽  
Jacques F A Braster

In this article we propose two research techniques that can bridge the gap between quantitative and qualitative historical research. These are: (1) a multiple regression approach that gives information about general patterns between numerical variables and the selection of outliers for qualitative analysis; (2) a homogeneity analysis with alternating least squares that results in a two-dimensional picture in which the relationships between categorical variables are graphically presented.


Author(s):  
Sangchoong Roh ◽  
Hongsik Jung ◽  
Youngwon Suh

As the world economy is becoming globalized, more domestic businesses are branching to overseas. Thereupon the number of expatriate workers who are getting assigned to overseas are increasing, and needs for systematic selection and training system for overseas expatriate workers are in dire needs. Nevertheless researches in this area are not enough and still inadequate level domestically. Therefore we developed the Global Competency Scale (GCS) with the purpose of the local businesses to use it to predict the possibility of successful overseas job performance and to select and train the right overseas expatriate workers. To develop the scale we conducted researches on documentations and interviews with former overseas expatriate workers and expatriate program managers in human resource department(HRD). Based on these results we developed 14 initial factors with 138 items. Using theses items we conducted both on & offline survey to people who work at global and multinational companies in Korea. With the 381 people's survey results, we implemented the cross validity. After cross validating we generated final 6 factors with 24 items. The GCS score we developed in this research shows that the degree of their goal achievement during past overseas experience and level of their satisfaction was significantly high in those criterion variables proving the criterion-related validity. Especially the GCS we developed in this research shows that after controlling the effect of English skills, still appear to have significant effect on criterion variables. Finally based on research results we discussed academical and operational implication and limitations for the further researches.


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