The Home Observation for Measurement of the Environment (HOME) Inventory is designed to assess the quality and quantity of support, stimulation, and structure provided to children in the home environment. HOME has been widely used for research and applied purposes. We focused on an abbreviated version of the Early Adolescent HOME (EA-HOME-A) that was administered to 15-year-old adolescents and their parents (N = 958) as part of the NICHD (National Institute of Child Health and Human Development) Study of Early Child Care and Youth Development. Our study had two objectives. First, we hypothesized and tested a bifactor model that specified a general factor in support of the use of the HOME total score and group factors for subsets of items in support of the content domain scores. Second, we applied structural equation modeling to relate the EA-HOME-A factors to outcome factors assessing maladaptive behaviors, autonomy, self-control, and cognitive–academic performance. The results supported the construct validity of the EA-HOME-A with respect to its internal structure as well as its correlates.
AchenbachT. (1991). Manual for the youth self-report and 1991 profile. Burlington: University of Vermont, Department of Psychiatry.
2.
BainterS.BollenK. A. (2015). Moving forward the debate on causal indicators: Rejoinder to comments. Measurement, 13, 63-74.
3.
BentlerP. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246.
4.
BradleyR. H. (2012). The HOME Inventory. In MayesL. C.LewisM. (Eds.), A developmental environment measurement handbook (pp. 568-589). New York, NY: Cambridge University Press.
5.
BradleyR. H.CaldwellB. M. (1979). Home Observation for Measurement of the Environment: A revision of the preschool scale. American Journal of Mental Deficiency, 84, 235-244.
6.
BradleyR. H.CaldwellB. M. (1984). The relation of infants’ home environments to achievement test performance in first grade: A follow-up study. Child Development, 55, 803-809.
7.
BradleyR. H.CorwynR. F. (2004). Life satisfaction among European American, African American, Chinese American, Mexican American, and Dominican American adolescents. International Journal of Behavioral Development, 28, 385-400.
8.
BradleyR. H.CorwynR. F. (2005). Caring for children around the world: A view from HOME. International Journal of Behavioral Development, 29, 468-478. doi:10.1080/01650250500146925
9.
BradleyR. H.CorwynR. F. (2007). Externalizing problems in 5th grade: Relations with productive activity, maternal sensitivity, and harsh parenting from infancy through middle childhood. Developmental Psychology, 43, 1390-1401.
10.
BradleyR. H.CorwynR. F.CaldwellB. M.Whiteside-MansellL.WassermanG. A.MinkI. T. (2000). Measuring the home environments of children in early adolescence. Journal of Research on Adolescence, 10, 247-288.
11.
BrowneM. W.CudeckR. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258.
12.
CaldwellB. M.BradleyR. H. (2003). Home Observation for Measurement of the Environment: Administration manual. Tempe: Arizona State University, Family & Human Dynamics Research Institute.
13.
CauffmanE.WoolardJ. (1999). Future Outlook Inventory. Unpublished manuscript.
14.
ChenF. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464-504.
15.
CheungG. W.RensvoldR. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233-255.
16.
CollinsW. A.SteinbergL. (2006). Adolescent development in interpersonal context. In DamonW.LernerR. M. (Series Eds.), & EisenbergN. (Vol. Ed.), The handbook of child psychology: Vol. 3. Social, emotional, and personality development (6th ed., pp. 1003-1067). New York, NY: Wiley.
17.
CongerR. D.ElderG. H. (1994). Families in troubled times: Adapting to change in rural America. New York, NY: Aldine de Gruyter.
18.
CookT. D.ChurchM. B.AjanakuS.Jr.ShadishW. R.Jeong-RanK.CohenR. (1996). The development of occupational aspirations and expectations among inner-city boys. Child Development, 67, 3368-3385.
19.
ElardoR.BradleyR. H.CaldwellB. M. (1977). A longitudinal study of the relation of infants’ home environments to language development at age three. Child Development, 48, 595-603.
20.
FabrigarL. R.WegenerD. T.MacCallumR. C.StrahanE. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
21.
FanX.ThompsonB.WangL. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling, 6, 56-83.
22.
FinneyS. J.DiStefanoC. (2013). Nonnormal and categorical data in structural equation modeling. In HancockG. R.MuellerR. O. (Eds.), A second course in structural equation modeling (2nd ed., pp. 439-492). Charlotte, NC: Information Age.
23.
FloraD. B.CurranP. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9, 466-491.
24.
GraberJ. A.Brooks-GunnJ. (1996). Transitions and turning points: Navigating the passage from childhood through adolescence. Developmental Psychology, 32, 768-776.
25.
GreenS. B.YangY. (2009). Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha. Psychometrika, 74, 155-167.
26.
GreenS. B.YangY. (2015). Evaluation of dimensionality in the assessment of internal consistency reliability: Coefficient alpha and omega coefficient. Educational Measurement: Issues and Practice, 34(4), 14-29.
27.
GreenS. B.YangY. (2018, April). Structural equation modeling estimates of reliability for ordered categorical items: Omega versus nonlinear reliability coefficients. Poster presented at the annual meeting of the American Educational Research Association, New York, NY.
28.
GreenbergerE.JosselsonR.KnerrC.KnerrB. (1975). The measurement and structure of psychosocial maturity. Journal of Youth and Adolescence, 4, 127-143.
29.
GreshamF. M.ElliottS. N. (1990). Social skills rating system: Manual. Circle Pines, MN: American Guidance Service.
30.
Halpern-FelsherB. L.BiehlM.KroppR. Y.RubinsteinM. L. (2004). Perceived risks and benefits of smoking: Differences between adolescents with different smoking experiences and intentions. Preventive Medicine, 39, 559-567.
31.
Halpern-FelsherB. L.CornellJ.KroppR. Y.TschannJ. (2005). Oral versus vaginal sex among adolescents: Perceptions, attitudes and behavior. Pediatrics, 115, 845-851.
32.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
33.
JacobsJ. E.LanzaS.OsgoodD. W.EcclesJ. S.WigfieldA. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73, 509-527.
34.
JacobsonJ. L.JacobsonS. W. (2003). Prenatal exposure to polychlorinated biphenyls and attention at school age. Journal of Pediatrics, 143, 780-788.
35.
JoussemetM.LandryR.KoestnerR. (2008). A self-determination theory perspective on parenting. Canadian Psychology, 49, 194-200.
36.
KitzmanH.OldsD. L.HendersonC. R.HanksC.ColeR.TatelbaumR.. . . BarnardK. (1997). Effect of prenatal and infancy home visitation by nurses on pregnancy outcomes, childhood injuries, and reported childbearing. A randomized controlled trial. JAMA Journal of the American Medical Association, 278, 644-652.
37.
KlineR. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press.
38.
KoepkeS.DenissenJ. J. (2012). Dynamics of identity development and separation-individuation in parent-child relationships during adolescence and emerging adulthood: A conceptual integration. Developmental Review, 32, 67-88.
LernerR. M.JohnsonS. K.BuckinghamM. H. (2015). Relational developmental systems-based theories and the study of children and families: Lerner and Spanier (1978) revisited. Journal of Family Theory and Review, 7, 83-94.
41.
LesterB. M.LaGasseL. L.ShanaranS.BadaH. S.BauerC. R.LinR.DasA.. . . HigginsR. (2010). Prenatal cocaine exposure related to cortisol stress reactivity in 11-year-old children. Journal of Pediatrics, 157, 288-295.
42.
LoveJ.KiskerE.RossC.SchochetP.Brooks-GunnJ.PaulsellD.. . . Brady-SmithC. (2002). Making a difference in the lives of infants and toddlers and their families: The impacts of Early Head Start, Vol. 1: Final technical report. Washington, DC: U.S. Department of Health and Human Services, Administration on Children and Families, Office of Planning Research and Evaluation.
43.
MarshH. W.HauK. T.WenZ. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11, 320-341.
44.
MeadeA. W.JohnsonE. C.BraddyP. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93, 568-592.
45.
MundfromD. J.BradleyR. H.WhitesideL. (1993). A factor analytic study of the Infant–Toddler and Early Childhood versions of the HOME Inventory. Educational and Psychological Measurement, 53, 479-489.
46.
MuthénL. K.MuthénB. O. (1998-2012). Mplus user’s guide: Statistical analysis with latent variables: User’s guide. Los Angeles, CA: Muthén & Muthén.
47.
National Research Council. (1993). Losing generations: Adolescents in high-risk settings. Washington, DC: National Academies Press.
48.
NICHD Early Child Care Research Network. (2001). Nonmaternal care and family factors in early development: An overview of the NICHD Study of Early Child Care. Journal of Applied Developmental Psychology, 22, 457-492.
49.
NICHD Early Child Care Research Network. (2002). Early child care and children’s development prior to school entry. American Educational Research Journal, 39, 133-164.
50.
NICHD Early Child Care Research Network. (2005). Duration and developmental timing of poverty and children’s cognitive and social development from birth through third grade. Child Development, 76, 795-810.
51.
PlominR.LoehlinJ.DeFriesJ. (1985). Genetic and environmental components of “environmental” influences. Developmental Psychology, 21, 391-402.
52.
ReiseS. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667-696.
53.
RindskopfD.RoseT. (1988). Some theory and applications of confirmatory second-order factor analysis. Multivariate Behavioral Research, 23, 51-67.
54.
SameroffA. J.MacKenzieM. J. (2003). Research strategies for capturing transactional models of development: The limits of the possible. Development and Psychopathology, 15, 613-640.
55.
SantosD. N.AssisA. M.BastosA. C.SantosL. T.SantosC. A.StrinaA.. . . BerretoM. L. (2008). Determinants of cognitive function in childhood: A cohort study in a middle income context. BMC Public Health, 8, 202.
56.
ScarrS.McCartneyK. (1983). How people make their own environments: A theory of genotype → environment effects. Child Development, 54, 424-435.
57.
SchmittT. A. (2011). Current methodological considerations in exploratory and confirmatory factor analysis. Journal of Psychoeducational Assessment, 29, 304-321.
58.
ShalliceT. (1982). Specific impairments of planning. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 298(1089), 199-209.
59.
SteinbergL. (2001). We know some things: Parent-adolescent relationships in retrospect and prospect. Journal of Research on Adolescence, 11, 1-19.
60.
SteinbergL.MonahanK. (2007). Age differences in resistance to peer influence. Developmental Psychology, 43, 1531-1543.
61.
TotsikaV.SylvaK. (2004). The Home Observation for Measurement of the Environment revisited. Child and Adolescent Mental Health, 9, 25-35.
62.
TryonG. S.SofferA.WinogradG. (2001, August). Relationship of social skills, depression, and anxiety in adolescents. Paper presented at the American Psychological Association, San Francisco, CA.
63.
TurnerM. L.EngleR. W. (1989). Is working memory capacity task dependent?Journal of Memory and Language, 28, 127-154.
64.
WatkinsM. W.BeaujeanA. A. (2014). Bifactor structure of the Wechsler Preschool and Primary Scale of Intelligence: Fourth edition. School Psychology Quarterly, 29, 52-63.
65.
WidamanK. F. (1993). Common factor analysis versus principal component analysis: Differential bias in representing model parameters?Multivariate Behavioral Research, 28, 263-311.
