metricas
covid
Buscar en
Revista Colombiana de Psiquiatría (English Edition)
Toda la web
Inicio Revista Colombiana de Psiquiatría (English Edition) Confirmatory factor analysis of the family APGAR questionnaire
Información de la revista
Vol. 50. Núm. 4.
Páginas 234-237 (octubre - diciembre 2021)
Visitas
1273
Vol. 50. Núm. 4.
Páginas 234-237 (octubre - diciembre 2021)
Original article
Acceso a texto completo
Confirmatory factor analysis of the family APGAR questionnaire
Análisis factorial confirmatorio del cuestionario de APGAR familiar
Visitas
1273
Adalberto Campo-Ariasa,
Autor para correspondencia
acampoa@unimagdalena.edu.co

Corresponding author.
, Carmen Cecilia Caballero-Domínguezb
a Programa de Medicina, Facultad de Ciencias de la Salud, Universidad del Magdalena, Santa Marta, Colombia
b Programa de Psicología, Facultad de Ciencias de la Salud, Universidad del Magdalena, Santa Marta, Colombia
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Tablas (1)
Table 1. Coefficients, communalities and Cronbach’s alpha.
Abstract
Introduction

In Colombia, the family APGAR questionnaire is often used to evaluate family function. However, there is no confirmatory factor analysis (CFA) to corroborate the proposed one-dimensional structure in Colombian adolescent students.

Objective

To perform CFA on the APGAR family questionnaire in high-school students of Santa Marta, Colombia.

Method

A total of 1462 students of tenth and eleventh grade of official and private schools completed the family APGAR questionnaire. Students between 13 and 17 years old (M = 16.0, SD = 0.8) were included, of which 60.3% were female, and 55.3% were tenth grade students. The χ2, RMSEA, CFI, TLI and SMSR were estimated in the CFA. The internal consistency of the dimension was calculated with Cronbach alpha and McDonald omega coefficients.

Results

In the CFA the indexes were χ2 = 9.11, df = 5, P = 0.105; RMSEA = 0.024 (CI90%, 0.000–0.048), CFI = 0.998, TLI = 0.996, and SMSR = 0.009. Cronbach alpha coefficient was 0.819 and McDonald omega, 0.820.

Conclusions

The one-dimensional structure of the APGAR family scale is confirmed in high-school students of Santa Marta, Colombia. This questionnaire is reliable and valid for the measurement of family function in school-aged adolescents.

Keywords:
Family relations
Adolescent
Students
Reliability and validity
Validation studies
Resumen
Introducción

En el contexto colombiano, la escala APGAR familiar es de uso frecuente para evaluar la función familiar. Sin embargo, no se cuenta con un análisis factorial confirmatorio (AFC) que corrobore en estudiantes adolescentes colombianos la estructura unidimensional propuesta.

Objetivo

Realizar un AFC a la escala APGAR familiar en estudiantes de media vocacional de Santa Marta, Colombia.

Método

Un total de 1462 estudiantes de décimo y undécimo grado de colegios oficiales y privados diligenció la escala APGAR familiar. Se incluyó a los estudiantes de 13 a 17 años (media, 16.0 ± 0.8); el 60.3% eran mujeres y el 55.3%, estudiantes de décimo grado. En el AFC se estimaron los estadísticos χ2, RMSEA, CFI, TLI y SMSR. Se calculó la consistencia interna de la dimensión con los coeficientes alfa de Cronbach y omega de McDonald.

Resultados

En el AFC los estadísticos fueron: χ2 = 9.11; gl = 5; p = 0.105; RMSEA = 0.024 (IC90%, 0.000–0.048); CFI = 0.998; TLI = 0.996 y SMRS = 0.009. El coeficiente alfa de Cronbach fue 0.819 y el omega de McDonald, 0,820.

Conclusiones

Se confirma la estructura unidimensional de la escala APGAR familiar en estudiantes de media vocacional de Santa Marta, Colombia. Este cuestionario es confiable y válido para la medición de función familiar en adolescentes escolarizados.

Palabras clave:
Relaciones familiares
Adolescente
Estudiantes
Confiabilidad y validez
Estudios de validación
Texto completo
Introduction

Since the introduction of the Family APGAR questionnaire in 1978, the dynamics or relationships within families have changed significantly with socio-political transformations, particularly those that affect the lives of women, birth control and their increasing incorporation into the workforce in countries around the world.1 A functional family group plays an important role in the general well-being and mental health of adolescents, as it mitigates the possible negative effects of normative and non-normative stressors.2 However, families with adolescent children frequently have conflictive relationships between members due to the difficulties that appear as adolescents consolidate their personal identity and emotional autonomy.3 Consequently, it is necessary to assess family functioning in the comprehensive assessment of adolescents in the context of mental health, and for this it is necessary to have a valid and reliable measurement tool.2,4

Smilkstein designed the Family APGAR questionnaire to rapidly assess family functioning in the context of family medical care.5 Little is known of the psychometric performance of the Family APGAR questionnaire in adolescents, in particular of findings from confirmatory factor analysis (CFA). In Chile, Maddaleno et al. applied a version of the APGAR questionnaire with three response options in a sample of 469 adolescents, with an average age of 17 years, and found that the instrument showed acceptable nomological validity, correlating the scores with various mental health indicators. However, they omitted to report on its reliability in terms of internal consistency, and dimensionality.6 In Colombia, in a group of 91 students aged 11–17, Forero et al. observed in an exploratory factor analysis (EFA) that the questionnaire showed a single factor that explained 55.6% of the total variance.7 Likewise, in 656 adult patients from Granada, Spain, Bellón et al. found that the EFA showed a single factor for 61.9% of the variance.8 In 1321 patients aged 15–96 years from a health centre in Mexico City, Gómez et al. observed a questionnaire factor for 52.9% of the variance.9 More recently, in a Colombian study of 227 adults aged 22–94 years from a dental service in Cartagena, Díaz-Cárdenas et al. reported that the APGAR questionnaire showed two goodness-of-fit indicators that contradicted the expected one-dimensional structure.10

In adolescents, the systematic evaluation of family functioning is essential in primary care and family health, given the relationship between family dysfunction and important outcomes, such as academic performance, depressive symptoms or substance use.11 However, it is necessary to be certain about the validity of the measurement with instruments such as the Family APGAR questionnaire, given the significant variations in the performance of these scales according to the social and cultural characteristics of the participants.12–14

The objective of this research was to confirm the one-dimensional structure of the Family APGAR questionnaire in year 10 and 11 secondary school students in Santa Marta, Colombia.

Methods

The present study was reviewed and approved by a research ethics committee. The parents or guardians signed the informed consent and the students gave their voluntary consent to complete the research booklet, in accordance with the Colombian standards for research involving humans.15

A sample of 1462 year 10 and 11 students participated. Students aged 13–17 (16.0 ± 0.8) were included in the research, 60.3% women, 55.3% were year 10 students, 49.6% were from low income families, and 76.1% with family dysfunction (scores <16).

The participants filled in the Family APGAR questionnaire in the classroom. The version used was the one adapted for Colombia by Arias et al.16 and previously analysed psychometrically in a study with adolescents from Bucaramanga.7 This questionnaire is made up of five items that explore adaptability, partnership, growth, affection and resolve. Each item offers five response options (never, almost never, sometimes, almost always and always) that are scored from 0 to 4; consequently, total scores are between 0 and 20.5

In the CFA, five indicators of goodness of fit were determined: χ2, RMSEA (root mean square error of approximation), CFI (comparative fit index), TLI (Tucker-Lewis index), and SMSR (standardised mean square residual). The five indicators were expected to show acceptable values to accept the one-dimensional questionnaire structure: χ2 with p < 0.05, RMSEA around 0.06, CFI and TLI > 0.90 and SMSR <0.05.17 In addition, the internal consistency of the factor identified was calculated with Cronbach's alpha18 and McDonald's omega19 coefficients. Values between 0.70 and 0.95 were expected for these coefficients.12–14,20 The calculations were performed with STATA 13.0.21

Results

The Family APGAR questionnaire scores found were between 0 and 20 (mean, 12.4 ± 4.2; median, 13 [interquartile range, 10–15]). In the CFA, the coefficients observed were between 0.561 and 0.770, and the communalities were between 0.437 and 0.592. All the coefficients and communalities are presented in Table 1. The goodness-of-fit statistics for the questionnaire were χ2 = 9.11; gl = 5; p = 0.105; RMSEA = 0.024 (90% confidence interval [90% CI], 0.000−0.048); CFI = 0.998; TLI = 0.996 and SRMR = 0.009.

Table 1.

Coefficients, communalities and Cronbach’s alpha.

Item  Coefficients  Communalities  Cronbach’s alpha* 
1. Adaptability  0.678  0.459  0.787 
2. Partnership  0.770  0.592  0.765 
3. Growth  0.659  0.434  0.789 
4. Affection  0.680  0.463  0.786 
5. Resolve  0.561  0.437  0.790 
*

If the item was omitted.

Regarding the internal consistency of the questionnaire, Cronbach's alpha coefficient was 0.819 and McDonald's omega coefficient was 0.820. Table 1 shows Cronbach's alpha with the omission of the item.

Discussion

The CFA of the APGAR questionnaire in the present study shows that it is a scale with a single dimension, with excellent internal consistency, in year 10 and 11 students from Santa Marta, Colombia.

In this study, the CFA demonstrated the one-dimensional structure of the APGAR questionnaire in adolescent students aged 13–17 years. However, the finding cannot be compared with previous studies due to the lack of research in populations in the same age groups and the application of CFA as a statistical approximation to the structure of the questionnaire. Only Díaz-Cárdenas et al. performed CFA on the response pattern of 227 adults in a dental service, and failed to demonstrate the one-dimensional structure, observing a χ2 value with <5% probability (p = 0.001) and RMSEA > 0.06 (0.155; 90% CI, 0.107−0.209).10 In CFA and other tests of psychometric performance, these divergences in the findings are common, according to the demographic characteristics of the population, for complex constructs such as family functionality, and greater if they are explored with a small number of items.22

The internal consistency of the Family APGAR questionnaire in the present study was observed to be >0.80, measured with two coefficients - Cronbach's alpha and McDonald's omega. This data is consistent with previous studies that reported Cronbach's alpha coefficient values between 0.77 and 0.90.7–11 However, they highlight the need to use more robust tests, such as CFA, to guarantee the dimensionality of an evaluation instrument.22,23 The practical difficulty of making the empirical data fit a previously theorised factor structure is evident.22,24,25

It is important to have an instrument with excellent validity indicators to quantify family functioning in adolescents. Family functionality is a variable to consider in studies in adolescent-age populations, since family functioning is associated in this population with general outcomes such as academic performance and others related to emotional well-being and mental health, such as legal and illegal substance use, the presence of depressive symptoms and self-harming behaviours.11,26–29

This study shows the one-dimensional structure of the Family APGAR questionnaire in adolescent students after 40 years of use in the clinical context, which corroborates the validity of the instrument and its usefulness in measuring family functioning in some contexts. Unidimensionality is a highly appreciated characteristic because it implies that the measurement is valid and focused on a single feature or a high percentage of its variance, without the distortion that can be generated by the presence of minor accessory features that make the measurement inaccurate.30,31 However, the CFA findings have internal validity only and can never be generalised to other samples or populations. Periodic verification is necessary of the performance of mental health measurement instruments.24,32

It is concluded that the Family APGAR questionnaire is an instrument with a clear one-dimensional structure, with high internal consistency, in year 10 and 11 adolescent students from Santa Marta, Colombia. These findings should be corroborated in future research.

Funding

This study was financed by the Vicerrectoría de Investigación [Directorate of Research] of the Universidad del Magdalena through Resolution 0347 of 2018 (Fonciencias 2017 call for proposals).

Conflicts of interest

The authors have no conflicts of interest to declare.

References
[1]
S. Torrado.
Hogares y familias en América Latina.
Rev Latinoam Pobl, 1 (2015), pp. 57-65
[2]
K.S. Balistreri, M. Alvira-Hammond.
Adverse childhood experiences, family functioning and adolescent health and emotional well-being.
Public Health, 132 (2016), pp. 72-78
[3]
L. De la Revilla.
Disfunción familiar o crisis de desarrollo en la adolescencia.
Aten Primaria, 41 (2009), pp. 485-486
[4]
E.F. Galán.
Funcionalidad en familias con adolescentes escolarizados en Paipa.
Av Enferm, 28 (2010), pp. 72-82
[5]
G. Smilkstein.
The family APGAR: a proposal for a family function test and its uses by physicians.
J Fam Pract, 6 (1978), pp. 12-31
[6]
M. Maddaleno, N. Horwitz, C. Jara, R. Florenzano, D. Salazar.
Aplicación de un instrumento para calificar el funcionamiento familiar en la atención de adolescentes.
Rev Chil Pediatr, 58 (1987), pp. 246-249
[7]
L.M. Forero, M.C. Avendaño, Z.J. Duarte, A. Campo-Arias.
Consistencia interna y análisis de factores de la escala APGAR para evaluar el funcionamiento familiar en estudiantes de básica secundaria.
Rev Colomb Psiquiatr, 35 (2006), pp. 23-29
[8]
J.A. Bellón, A. Delgado, J.D. Luna, P. Lardelli.
Validez y fiabilidad del cuestionario de función familiar Apgar familiar.
Aten Primaria, 18 (1996), pp. 289-296
[9]
F.J. Gómez, E.R. Ponce.
Una nueva propuesta para la interpretación de Family APGAR.
Aten Fam, 17 (2010), pp. 102-106
[10]
S. Díaz-Cárdenas, L. Tirado-Amador, M. Simancas-Pallares.
Validez de constructo y confiabilidad de la APGAR familiar en pacientes odontológicos adultos de Cartagena, Colombia.
Salud UIS, 49 (2017), pp. 541-548
[11]
E.M. Gómez-Bustamante, I. Castillo-Ávila, Z. Cogollo.
Predictores de disfunción familiar en adolescentes escolarizados.
Rev Colomb Psiquiatr, 42 (2013), pp. 72-80
[12]
R. Sánchez, C. Gómez.
Conceptos básicos sobre la validación de escalas.
Rev Colomb Psiquiatr, 27 (1998), pp. 121-130
[13]
R. Sánchez, J. Echeverry.
Validación de escalas de medición en salud.
Rev Salud Pública, 6 (2004), pp. 302-318
[14]
A.P. Keszei, M. Novak, D.L. Streiner.
Introduction to health measurement scales.
J Psychosom Res, 68 (2010), pp. 319-323
[15]
Resolución 008430 por la cual se establecen las normas científicas, técnicas y administrativas para la investigación en salud, Ministerio de Salud, (1993),
[16]
L. Arias, J.A. Herrera.
El APGAR familiar en el cuidado primario de la salud.
Colomb Med, 25 (1994), pp. 26-28
[17]
L.T. Hu, P.M. Bentler.
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.
Struct Equat Model, 6 (1999), pp. 1-55
[18]
L.J. Cronbach.
Coefficient alpha and the internal structure of test.
Psychometrika, 16 (1951), pp. 297-334
[19]
R.P. McDonald.
Theoretical foundations of principal factor analysis and alpha factor analysis.
Br J Math Stat Psychol, 23 (1970), pp. 1-21
[20]
H.C. Oviedo, A. Campo-Arias.
Aproximación al uso del coeficiente alfa de Cronbach.
Rev Colomb Psiquiatr, 34 (2005), pp. 572-580
[21]
STATA 13.0, STATA, (2013),
[22]
D.L. Jackson, J.A. Gillaspy Jr, R. Purc-Stephenson.
Reporting practices in confirmatory factor analysis: an overview and some recommendations.
Psychol Method, 14 (2009), pp. 6-23
[23]
J.M. Batista-Foguet, G. Coenders, J. Alonso.
Análisis factorial confirmatorio. Su utilidad en la validación de cuestionarios relacionados con la salud.
Med Clin (Barc), 122 (2004), pp. 21-27
[24]
E. García-Cueto, P. Gallo, R. Miranda.
Bondad de ajuste en el análisis factorial confirmatorio.
Psicothema, 10 (1998), pp. 717-724
[25]
C.B. Terwee, S.D. Bot, M.R. de Boer, et al.
Quality criteria were proposed for measurement properties of health status questionnaires.
J Clin Epidemiol, 60 (2007), pp. 34-42
[26]
Z. Cogollo, E. Gómez, A. Campo.
Consumo de cigarrillo entre estudiantes de Cartagena, Colombia: factores familiares asociados.
Rev Fac Nac Salud Publica, 27 (2009), pp. 259-263
[27]
D.C. Toro, R.E. Paniagua, C.M. González, B. Montoya.
Caracterización de adolescentes escolarizados con riesgo de suicidio, Medellín, 2006.
Rev Fac Nac Salud Publica, 27 (2009), pp. 302-308
[28]
Z. Cogollo, E. Gómez, O. De Arco, I. Ruiz, A. Campo-Arias.
Asociación entre disfuncionalidad familiar y síntomas depresivos con importancia clínica en estudiantes de Cartagena, Colombia.
Rev Colomb Psiquiatr, 38 (2009), pp. 637-644
[29]
K. Espinosa, M. Hernández, C.A. Cassiani, A.M. Cubides, M.C. Martínez.
Factores relacionados con el consumo de sustancias psicoactivas en una institución educativa de Jamundí Valle, Colombia.
Rev Colomb Psiquiatr, 45 (2016), pp. 2-7
[30]
A. Burga.
La unidimensionalidad de un instrumento de medición: perspectiva factorial.
Rev Psicol PUCP, 24 (2006), pp. 53-80
[31]
J. Muñiz.
Las teorías de los test: teoría clásica y teoría de respuesta a los ítems.
Papel Psicol, 31 (2010), pp. 57-66
[32]
D.L. Streiner.
Figuring out factors: the use and misuse of factor analysis.
Can J Psychiatry, 39 (1994), pp. 135-140

Please cite this article as: Campo-Arias A, Caballero-Domínguez CC. Análisis factorial confirmatorio del cuestionario de APGAR familiar. Rev Colomb Psiquiat. 2021;50:234–237.

Copyright © 2020. Asociación Colombiana de Psiquiatría
Descargar PDF
Opciones de artículo