The Role of Personal Commitment in Association Between Aerospace Education and Service Experience Through Quality Design: A Moderated Mediation Model

S. No	Variables	Mean	SD	1	2	3	4
1	Aerospace education	3.39	0.562	1	0.610**	0.674**	0.526**
2	Service experience	3.41	0.531	0.610**	1	0.817**	0.582**
3	Personal commitment	3.46	0.447	0.674**	0.817**	1	0.652**
4	Quality design	3.33	0.626	0.526**	0.582**	0.652**	1
5	Gender	0.64	0.482
6	Year of study	1.49	1.100

1 Notes: Female is represented by 0 and male is represented by 1; year of study refers to year 1, year 2, year 3 and year 4.

1** Correlation is significant at the 0.01 level (2-tailed).

1 SD – standard deviation.

Table 2.

Total effect of aerospace education and service experience.

Effect	SE	T	p	LLCI	ULCI
0.5858	0.0722	8.1186	0.0000	0.4434	0.7283
Direct effect of aerospace education on service experience
0.3969	0.0620	6.4023	0.0000	0.2746	0.5193
Indirect effect of aerospace education on service experience
Effect	BootSE	BootLLCI	BootULCI
0.1789	0.0380	0.1079	0.2558

1 Notes: Level of confidence for all CIs in output: 95.0000.

The number of bootstrap samples for percentile bootstrap CIs is 5,000.

CIs – confidence intervals; SE – standard error.

Table 3.

Results of moderating role of personal commitment.

R	R-sq	MSE	F	df1	df2	P
0.6722	0.4519	0.2185	46.7235	3.0000	170.0000	0.0000
Model
	Coefficient	SE	t	P	LLCI	ULCI
Constant	3.2872	0.0414	79.4923	0.0000	3.2055	3.3688
Aerospace education	0.1562	0.0862	1.8122	0.0717	−0.0139	0.03264
Personal commitment	0.7918	0.1086	7.2924	0.0000	0.5774	1.0061
Int_1	0.2552	0.1264	2.0193	0.0450	0.0057	0.5047

1 SE – standard error; Df – degrees of freedon; MSE – mean squared error.

Moderation effect of personal commitment.

Table 4.

Unstandardised ordinary least squares (OLS) regression coefficients testing for conditional indirect effect of aerospace education on service performance.

Consequent
		M (quality designs)		Y (service experience)
Antecedent		Coeff. (SE)	95% CI		Coeff. (SE)	95% CI
Aerospace education (X)	α₁ →	0.1562	−0.0139, 0.3264	c′→	0.3969	0.2746, 0.5193
Quality design (M)				b	0.3055	0.1955, 0.4154
Personal commitment (W)	α₂ →	0.7918
AE*PC	α₃ →	0.2552	0.0057, 0.5047
Constant		3.2872	3.2055, 3.3688		2.3945	2.0237, 2.7653
Constant		R² = 0.4519 F(3, 170) = 46.7235, p < 0.001			R² = 0.4663 F(2, 171) = 74.7026, p < 0.001
Conditional indirect effect
Moderator	Eff.		SE (boot)		Boot 95% CI
Personal commitment	0.0121		0.0363		−0.0640, 0.0806
	0.0511		0.0259		−0.0016, 0.1025
	0.0901		0.0277		0.0375, 0.1473
	Index		SE (boot)		Boot 95% CI
Index of moderated mediation	0.0780		0.0385		0.0089, 0.1613

1 Note: Level of confidence for all CIs in output: 95.0000. The number of bootstrap samples for percentile bootstrap CIs is 5,000. W values in conditional tables are the 16th, 50th and 84th percentiles. The following variables were mean centered prior to analysis: personal commitment and aerospace education.

1 *p < 0.05; **p < 0.01; ***p < 0.001.

1 CIs – confidence intervals; Coeff. – coefficient; SE – standard error.

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DOI: https://doi.org/10.2478/tar-2023-0013 | Journal eISSN: 2545-2835

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Language: English

Page range: 1 - 15

Submitted on: Oct 21, 2022

Accepted on: May 18, 2023

Published on: Sep 13, 2023

Published by: ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION

In partnership with: Paradigm Publishing Services

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Related subjects:

Introductions and overviews,

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© 2023 Diane Uyoga, Ronald Bonuke, published by ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 2023 (2023): Issue 3 (September 2023)

The Role of Personal Commitment in Association Between Aerospace Education and Service Experience Through Quality Design: A Moderated Mediation Model

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Table 1.

Table 2.

Table 3.

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Table 4.

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