This study aimed to develop and validate the Ethics of Care Scale for Parents of Musically Gifted Children (ECS-MGC), grounded in Tronto's ethics of care, to assess caregiving behaviors of parents of musically gifted students enrolled in Turkey’s Science and Art Centers (BİLSEM). Data were collected from 493 parents using a 5-point Likert-type questionnaire. Exploratory factor analysis based on a polychoric correlation matrix supported a five-factor structure, which was confirmed through confirmatory factor analysis using the WLSMV estimator. Item refinement yielded a 22-item scale comprising Caring About, Caring For, Care Giving, Care Receiving, and Caring With. Model comparisons indicated that the five-factor structure fit the data better than one-factor and higher-order alternatives. Reliability was supported by internal consistency, composite reliability, and test–retest coefficients. While four dimensions demonstrated strong reliability, Caring About showed lower yet acceptable reliability. Use of the ECS-MGC should be limited to similar BİLSEM parent populations.
AbramoJ.Natale-AbramoM. (2020). Reexamining gifted and talented in music education. Music Educators Journal, 106(3), 38–46. https://doi.org/10.1177/0027432119895304
2.
BoatengG. O.NeilandsT. B.FrongilloE. A.Melgar-QuiñonezH. R.YoungS. L. (2018). Best practices for developing and validating scales for health, social, and behavioral research: A primer. Frontiers in Public Health, 6, Article 149. https://doi.org/10.3389/fpubh.2018.00149
3.
BrownT. A. (2015). Confirmatory factor analysis for applied research. Guilford Publications.
4.
BurenV.MüllensiefenD.DegéF. (2025). Screening musicality in children: Development and initial validation of a new tool for rapid assessment of musical profiles. PLoS One, 20(3), Article e0317962. https://doi.org/10.1371/journal.pone.0317962
5.
BüyüköztürkŞ. (2011). The data analysis handbook for social sciences. Pegem Academy Publishing.
6.
BüyüköztürkŞ.Kılıç ÇakmakE.AkgünÖ. E.KaradenizŞ.DemirelF. (2022). Scientific research methods (30th ed.). Pegem Academy Publishing.
CreechA.HallamS. (2011). Learning a musical instrument: The influence of interpersonal interaction on outcomes for school-aged pupils. Psychology of Music, 39(1), 102–122. https://doi.org/10.1177/030573561037022
11.
DansereauD. R. (2023). Compassion during musical engagement with young children. In HendricksK. S. (Ed.), The Oxford handbook of care in music education (pp. 56–68). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197611654.013.8
12.
DavidsonJ. W.HoweM. J.MooreD. G.SlobodaJ. A. (1996). The role of parental influences in the development of musical performance. British Journal of Developmental Psychology, 14(4), 399–412. https://doi.org/10.1111/j.2044-835X.1996.tb00714.x
13.
DeVellisR. F.ThorpeC. T. (2021). Scale development: Theory and applications (5th ed.). Sage Publications.
DunnT. J.BaguleyT.BrunsdenV. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. https://doi.org/10.1111/bjop.12046
16.
ElmgrenH. (2021). Hindrances to recognition in Finnish music schools. International Journal of Music Education, 39(2), 202–217. https://doi.org/10.1177/0255761420986223
17.
FieldA. (2024). Discovering statistics using IBM SPSS statistics (6th ed.). Sage Publications Limited.
18.
FornellC.LarckerD. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
19.
FraenkelJ. R.WallenN. E. (2009). How to design and evaluate research in education (7th ed.). McGraw-Hill.
20.
FraenkelJ. R.WallenN. E.HyunH. H. (2012). How to design and evaluate research in education (8th ed.). McGraw-Hill.
21.
GarnA. C.MatthewsM. S.JollyJ. L. (2010). Parental influences on the academic motivation of gifted students: A self-determination theory perspective. Gifted Child Quarterly, 54(4), 263–272. https://doi.org/10.1177/0016986210377657
22.
HairJ. F.BlackW. C.BabinB. J.AndersonR. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
23.
HairJ. F.HultG. T. M.RingleC. M.SarstedtM.DanksN. P.RayS. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
24.
HaryonoS.GanapV.SumaryantoT.RohidiT. R. (2018). Integrating parents’ contribution into music class to achieve learning purpose of musical expression. Harmonia: Journal of Arts Research and Education, 18(1), 28–38. https://doi.org/10.15294/harmonia.v18i1.12288
25.
HendricksK. S.EinarsonK. M.MantieR. (2021). Empathy, values, and parental involvement in children’s musical development. Frontiers in Education, 6, Article 648776. https://doi.org/10.3389/feduc.2021.648776
26.
HenselerJ.RingleC. M.SarstedtM. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
27.
Holgado–TelloF. P.Chacón–MoscosoS.Barbero–GarciaI.Vila–AbadE. (2010). Polychoric versus pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Quality and Quantity, 44(1), 153–166. https://doi.org/10.1007/s11135-008-9190-y
28.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
29.
HurleyA. E.ScanduraT. A.SchriesheimC. A.BrannickM. T.SeersA.VandenbergR. J.WilliamsL. J. (2022). Exploring measurement validity: A comprehensive review of scale development practices in the organizational sciences. Journal of Business Research, 139, 1218–1236. https://doi.org/10.1016/j.jbusres.2021.10.058
30.
JacobsenS. L.KillenK. (2015). Clinical application of music therapy assessment within the field of child protection. Nordic Journal of Music Therapy, 24(4), 148–166. https://doi.org/10.1080/08098131.2014.908943
KlineR. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.
33.
KongS. (2020). A study of students’ perceptions of parental influence on students’ musical instrument learning in beijing, China. Music Education Research, 23(3), 287–299. https://doi.org/10.1080/14613808.2020.1832978
34.
KuisE.HesselinkG.GoossensenA. (2014). Can quality from a care ethical perspective be assessed? A review. Nursing Ethics, 21(7), 774–793. https://doi.org/10.1177/0969733013500163
35.
LedesmaR. D.Valero-MoraP. (2007). Determining the number of factors to retain in EFA: An easy-to-use computer program for carrying out parallel analysis. Practical Assessment, Research and Evaluation, 12(1). Article 2. https://doi.org/10.7275/wjnc-nm63
36.
López-IniguezG.McPhersonG. (2023). Caring approaches to young, gifted music learners’ education: A PRISMA scoping review. Frontiers in Psychology, 14, Article 1167292. https://doi.org/10.3389/fpsyg.2023.1167292
37.
López-IniguezG.McPhersonG. E. (2025). Issues and approaches to gifted education in specialist music programs globally: Insights from institutional leaders. Gifted Education International. Advance online publication. https://doi.org/10.1177/02614294251360614
38.
López-IniguezG.WesterlundH. (2023). The politics of care in the education of children gifted for music: A systems view. In HendricksK. S. (Ed.), Oxford handbook of care in music education (pp. 115–129). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197611654.013.13
39.
Marek‐SchroerM.SchroerN. (1993). Identifying and providing for musically gifted young children. Roeper Review, 16(1), 33–36. https://doi.org/10.1080/02783199309553531
40.
McPhersonG. E. (2005). From child to musician: Skill development during the beginning stages of learning an instrument. Psychology of Music, 33(1), 5–35. https://doi.org/10.1177/0305735605048012
McPhersonG. E. (Ed.), (2015). The child as musician: A handbook of musical development (2nd ed.). Oxford University Press.
43.
McPhersonG. E.DavidsonJ. W. (2002). Musical practice: Mother and child interactions during the first year of learning an instrument. Music Education Research, 4(1), 141–156. https://doi.org/10.1080/14613800220119822
44.
McPhersonG. E.HallamS. (2009). Musical potential: Nature and nurture. In HallamS.CrossI.ThautM. (Eds.), The Oxford handbook of music psychology (pp. 255–264). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199298457.013.0024
MorawskaA.SandersM. R. (2008). Parenting gifted and talented children: What are the key child behaviour and parenting issues?Australian and New Zealand Journal of Psychiatry, 42(9), 819–827. https://doi.org/10.1080/00048670802277271
48.
NielsenS.Jordhus-LierA.KarlsenS. (2023). Classed approaches to musical parenting in Norwegian schools of music and arts: Findings from interviews with parents of music students. Scandinavian Journal of Educational Research, 69(1), 179–193. https://doi.org/10.1080/00313831.2023.2275803
49.
OliveiraA.McPhersonG.RibeiroL.Oliveira-SilvaP. (2021). Musical achievement during a lockdown: The parental support miracle. Research Studies in Music Education, 45(1), 211–226. https://doi.org/10.1177/1321103X211033794
50.
O’NeillS. A. (2012). Becoming a music learner: Toward a theory of transformative music engagement. In McPhersonG. E.WelchG. F. (Eds.), The Oxford handbook of music education (pp. 163–186). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199730810.013.0010
51.
PenneyS.WilgoshL. (2000). Fostering parent-teacher relationships when children are Gifted1. Gifted Education International, 14(3), 217–229. https://doi.org/10.1177/026142940001400303
52.
PolitD. F.BeckC. T.OwenS. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199
53.
PolitimouN.StewartL.MüllensiefenD.FrancoF. (2018). Music@Home: A novel instrument to assess the home musical environment in the early years. PLoS One, 13(4), Article e0193819. https://doi.org/10.1371/journal.pone.0193819
54.
RaoofK.ShokriO.FathabadiJ.PanaghiL. (2024). Unpacking the underachievement of gifted students: A systematic review of internal and external factors. Heliyon, 10(17), Article e36908. https://doi.org/10.1016/j.heliyon.2024.e36908
55.
RenatiR.BonfiglioN. S.PfeifferS. (2017). Challenges raising a gifted child: Stress and resilience factors within the family. Gifted Education International, 33(2), 145–162. https://doi.org/10.1177/0261429416650948
56.
SlobodaJ.HoweM. (1991). Biographical precursors of musical excellence: An interview study. Psychology of Music, 19(1), 3–21. https://doi.org/10.1177/0305735691191001
57.
TaherdoostH. (2016). Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management, 5(3), 28–36.
58.
TrontoJ. C. (2013). Caring democracy: Markets, equality, and justice. New York University Press.
59.
UpitisR.AbramiP.BrookJ.KingM. (2017). Parental involvement in children’s independent music lessons. Music Education Research, 19(1), 74–98. https://doi.org/10.1080/14613808.2016.1202220
60.
VialleW. (2017). Supporting giftedness in families: A resources perspective. Journal for the Education of the Gifted, 40(4), 372–393. https://doi.org/10.1177/0162353217734375
61.
VoitovaT.BernhofsV.MüllensiefenD. (2025). The influence of psychosocial skills on the development of musical abilities: Cross-sectional results from secondary school pupils in Latvia. Gifted Child Quarterly, 69(2), 184–201. https://doi.org/10.1177/00169862241307660
62.
WangW.YiY.LiJ.SunG.ZhangM. (2022). Lighting up the dark: How the scarcity of childhood resources leads to preferences for bright stimuli. Journal of Business Research, 139, 1155–1164. https://doi.org/10.1016/j.jbusres.2021.10.058
63.
WeatherlyK.LiuV. (2024). Exploring the perspectives of Asian American parents on their musically talented children in instrumental education. Music Education Research, 26(2), 140–154. https://doi.org/10.1080/14613808.2023.2294320
64.
WorthingtonR. L.WhittakerT. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127
65.
YapalıG.Özal GöncüE. (2025). The influence of families on gifted students’ choice of the music domain in science and art centers. Online Journal of Music Sciences, 10(1), 1–18. https://doi.org/10.31811/ojomus.1583262
66.
YıldırımerE.AksoyY. (2025). Students’ and parents’ perspectives on music education experiences in science and art centers (BİLSEM). Journal of Education for Life, 39(2), 411–428. https://doi.org/10.33308/26674874.2025392833
67.
ZamanzadehV.GhahramanianA.RassouliM.AbbaszadehA.Alavi-MajdH.NikanfarA. R. (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 4(2), 165–178. https://doi.org/10.15171/jcs.2015.017
68.
ZumboB. D. (2007). Three generations of DIF analyses: Considering where it has been, where it is now, and where it is going. Language Assessment Quarterly, 4(2), 223–233. https://doi.org/10.1080/15434300701375832
