Structural Equations and Path Analysis for Discrete Data

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.

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An Input–Process–Output Model of Pilot Core Competencies

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000120 ◽

2017 ◽

Vol 7 (2) ◽

pp. 78-85 ◽

Cited By ~ 5

Author(s):

Heikki Mansikka ◽

Don Harris ◽

Kai Virtanen

Keyword(s):

Path Analysis ◽

Team Performance ◽

Core Competencies ◽

Core Competency ◽

Principal Component ◽

Analysis Model ◽

Input Process ◽

The Core ◽

Performance Framework ◽

Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

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Challenge Demands, Hindrance Demands, and Psychological Need Satisfaction

Journal of Personnel Psychology ◽

10.1027/1866-5888/a000122 ◽

2015 ◽

Vol 14 (2) ◽

pp. 70-79 ◽

Cited By ~ 24

Author(s):

Simon L. Albrecht

Keyword(s):

Work Engagement ◽

Job Demands ◽

Self Determination Theory ◽

Structural Equations ◽

Need Satisfaction ◽

Self Determination ◽

Job Resources ◽

Mediating Effects ◽

Psychological Need ◽

Practical Implications

The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees’ need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.

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