Exploring Bayesian analyses of a small-sample-size factorial design in human systems integration: the effects of pilot incapacitation

Schmid, Daniela; Stanton, Neville A.

doi:10.1007/s42454-020-00012-0

Cited by 13 publications

(8 citation statements)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Bayesian Cronbach's α and McDonald's ω as measures for internal consistency of the scale were calculated by using JASP (JASP Team, 2020). JASP was also used to calculate the paired-samples Bayesian t-test which is reported as abridged version here with reference to the related article (Schmid & Stanton, 2019a Note: The MCMC samplings were calculated with a burn-in period of 5,000 and 50,000 iterations by JASP version 0.13.1 (JASP Team, 2020) and uninformative priors.…”

Section: Discussionmentioning

confidence: 99%

“…It is beyond the scope of the present article to focus on all details of SPO. The procedure and method are described here whereas the theoretical and application-specific (SPO) details were published in Schmid and Stanton (2019a).…”

Section: Methodsmentioning

confidence: 99%

“…T A B L E 4 Demographics of N = 10 commercial pilots (9 males, 1 female) single-pilot operating on his own in the GECO flight simulator. The pilots were connected to the air traffic controller via push-to-talk whereas the communication was freely available between them in SPO (Schmid & Stanton, 2019a). Details of the simulation, affiliated software and architecture are described in Lenz and Schmid (2019).…”

Section: Flight Simulation Setupmentioning

confidence: 99%

“…In this sense, the scale value was used to compare the technology acceptance that the participating pilots showed regarding both crewing conditions and their corresponding technology. The detailed analysis is reported by Schmid and Stanton (2019a). The BF 10 = 3.848 of a Bayesian directional paired-samples t-test showed moderate to substantial evidence for the acceptance by pilots to be higher for the Airbus two-pilot A320 cockpit than for the ground-based workstation (labelling according to: JASP Team, 2020; Jeffreys, 1961;Wetzels & Wagenmakers, 2012).…”

Section: Bayesian Paired-samples T-testmentioning

confidence: 99%

See 3 more Smart Citations

The technology acceptance scale: Its Bayesian psychometrics assessed in a factor analysis via Markov chain Monte Carlo models

Schmid¹

2021

Hum Ftrs & Erg Mfg Svc

Self Cite

View full text Add to dashboard Cite

The technology acceptance scale (TAS) by van der Laan, Heino, and De Waard (1997) measures the psychological construct of the same term as a sum of attitudes of an operator toward a specific complex sociotechnical system. The TAS has been claimed to comprise two subscales, usefulness and satisfaction. However, recent empirical work has found evidence for only one underlying factor. To provide further insight into the factor structure of the TAS, this study adopts a Bayesian exploratory factor analysis (BEFA) to analyse the data of a flight simulation study regarding single pilot operations. A series of Markov chain Monte Carlo (MCMC) models is used to assess the latent factor structure of the TAS for the two different crewing conditions and their corresponding workstation and cockpit setups of the copilot. A reliable step-by-step data analysis of the MCMC models provides evidence for a one-factor solution of the scale. The divergence to the previous studies which claim two factors can be due to the different applications as well as due to different statistical paradigms and methodological issues in exploratory factor analysis.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Flight Simulation Setupmentioning

confidence: 99%

Section: Bayesian Paired-samples T-testmentioning

confidence: 99%

See 2 more Smart Citations

The technology acceptance scale: Its Bayesian psychometrics assessed in a factor analysis via Markov chain Monte Carlo models

Schmid¹

2021

Hum Ftrs & Erg Mfg Svc

Self Cite

View full text Add to dashboard Cite

show abstract

“…Prior to evaluating the fitness of the conceptual model described in Table 4, it is important to compare the scale value of the technology acceptance model that the participating SME owners showed regarding the adoption of crowd logistics platforms and its corresponding technology. The data was analyzed using a Bayesian repeated-measure ANOVA (Schmid & Stanton, 2019). In terms of their prior odds, all hypotheses are considered to be equally likely.…”

Section: The Bayesian Repeated-measures Anovamentioning

confidence: 99%

A Bayesian Inference Model for Sustainable Crowd Source Logistics for Small and Medium Scale Enterprises (SME) in Africa

Agyemang¹

2022

AJIBM

View full text Add to dashboard Cite

Single Pilot Operations Along the Human-Centered Design Lifecycle: Reviewing the Dedicated Support Concept

Schmid¹

2021

Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)

View full text Add to dashboard Cite

Exploring Bayesian analyses of a small-sample-size factorial design in human systems integration: the effects of pilot incapacitation

Cited by 13 publications

References 93 publications

The technology acceptance scale: Its Bayesian psychometrics assessed in a factor analysis via Markov chain Monte Carlo models

The technology acceptance scale: Its Bayesian psychometrics assessed in a factor analysis via Markov chain Monte Carlo models

A Bayesian Inference Model for Sustainable Crowd Source Logistics for Small and Medium Scale Enterprises (SME) in Africa

Single Pilot Operations Along the Human-Centered Design Lifecycle: Reviewing the Dedicated Support Concept

Contact Info

Product

Resources

About