Using New Models to Analyze Complex Regularities of the World

Nokelainen, Petri

doi:10.14786/flr.v2i1.107

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The qualitative content analyses provided more descriptive examination of the data (Krippendorff, 2004;Schreier, 2014. ) In addition to theoretical concept analysis, Bayesian methods (Bernardo and Smith, 2000) were applied in this study as they work robustly with small samples and allow the use of nominal indicators (textual or numerical data) and prediction with the model derived from the empirical evidence (Nokelainen, 2008;Nokelainen and Silander, 2014). A specific technique, Bayesian Classification Modeling (BCM, see Nokelainen, 2008), was used to select the most probable predictors of vocational The input data matrix for BCM contained the following variables: 12 characteristics (such as "intrinsic goal orientation", "volition" and "control beliefs"; see Table II), "job performance", "entrance examination success" and "study success".…”

Section: Analysesmentioning

confidence: 99%

The role of natural abilities, intrinsic characteristics, and extrinsic conditions in air traffic controllers’ vocational development

Pylväs

Nokelainen

Roisko

2015

Journal of Workplace Learning

Self Cite

View full text Add to dashboard Cite

Purpose – The purpose of this paper is to apply the Developmental Model of Vocational Excellence (DMVE) in the domain of air traffic control and to describe the characteristics and predictors related to air traffic controllers’ (ATCO) vocational expertise and excellence. Based on DMVE, the study analyses the role of natural abilities (gifts), intrinsic characteristics (self-regulatory abilities) and extrinsic conditions (domain and non-domain specific factors) in ATCOs’ vocational development. Design/methodology/approach – The target population of the multiple case study consisted of ATCOs in Finland (N = 300), of which 28 were interviewed. The interviewees represented four different airports. Initially, three key personnel interviews were conducted to validate the structured theme interview instrument that was subsequently used for the 28 interviews. The data set also included the ATCOs’ aptitude test scores and training records. Employee assessments were used to determine their on-the-job performance level (expertise vs excellence). The research questions were examined using theoretical concept analysis. The qualitative data analysis was conducted with content analysis and Bayesian classification modelling. Findings – The findings indicate that cognitive skills, self-reflection, volition and goal-orientation are considered to be ATCOs’ most important vocational characteristics in addition to interpersonal, intrapersonal and spatial skills. The main differences between the ATCOs representing vocational expertise and those representing vocational excellence were related to self-regulation; motivation and volition in particular proved to be somewhat stronger in the latter group. Research limitations/implications – It was acknowledged that there are limitations in the present study. First, the four airports were not selected randomly. Although they represent different types of airports (and ATCO job profiles) in Finland quite well, future studies should include comparative aspect to airports in other countries. Second, the number of participants (N = 28) in the study was quite small, limiting generalization of the results to the target population (N = 300). Future research on this domain should be extended to include also quantitative measurements, allowing more generalizable results. Third, although the analysis for the research question 3 was based on a technique that is not sensitive to missing values (BCM), missing data in ATCOs’ aptitude test scores, training records and employee assessments added uncertainty to the results. Practical implications – ATCOs’ highly controlled and pre-defined work presents a challenge to work motivation, which is seen as one of the determining factors in safety in air traffic controlling (ATC). In the future, more emphasis should be placed on the prerequisites of professional development such as leadership (human resource management, feedback, employees’ opportunity to influence), working environment (physical and social environment), educational possibilities and career progression, as well as professional benefits (salary and working hours). Originality/value – Although ATC is a fairly studied topic since 1970s, most studies related to ATCOs have concentrated on training, learning on the job, cognitive capacity and processing and stress tolerance. This study extends the emerging research in the field on self-regulation by adopting DMVE to investigate its role, alongside natural abilities and domain and non-domain specific factors, to vocational talent development in different skill acquisition stages.

show abstract

Section: Analysesmentioning

confidence: 99%