Factorial Invariance Within Longitudinal Structural Equation Models: Measuring the Same Construct Across Time

Child Development Perspectives - Tập 4 Số 1 - Trang 10-18 - 2010
Keith F. Widaman1, Emilio Ferrer1, Rand D. Conger1
1UNIVERSITY OF CALIFORNIA AT DAVIS

Tóm tắt

Abstract— Charting change in behavior as a function of age and investigating longitudinal relations among constructs are primary goals of developmental research. Traditionally, researchers rely on a single measure (e.g., scale score) for a given construct for each person at each occasion of measurement, assuming that measure reflects the same construct at each occasion. With multiple indicators of a latent construct at each time of measurement, the researcher can evaluate whether factorial invariance holds. If factorial invariance constraints are satisfied, latent variable scores at each time of measurement are on the same metric and stronger conclusions are warranted. This article discusses factorial invariance in longitudinal studies, contrasting analytic approaches and highlighting strengths of the multiple‐indicator approach to modeling developmental processes.

Từ khóa


Tài liệu tham khảo

Anderson J. C., 1987, Structural equation modeling in practice: A review and recommended two‐step approach, Psychological Bulletin, 103, 411, 10.1037/0033-2909.103.3.411

10.1207/S15328007SEM0901_5

Bandalos D. L., 2001, New developments and techniques in structural equation modeling, 269

Bayley N., 1956, Individual patterns of development, Child Development, 27, 45

10.2307/1126345

10.2307/1126058

10.1037/0033-2909.107.2.238

10.1037/0033-2909.88.3.588

Bereiter C., 1963, Problems in the measurement of change, 3

10.1037/1082-989X.9.1.30

10.1002/0471746096

Browne M. W., 1993, Testing structural equation models, 136

10.1037/h0035540

10.1037/h0035845

10.1037/h0076115

10.1037/0033-2909.105.3.456

10.1177/109442819814004

10.1207/s15328007sem1203_7

10.1177/014920639902500101

10.1037/0021-843X.112.4.558

10.1037/h0029382

10.1037/10409-004

Duncan T. E., 2006, An introduction to latent variable growth curve modeling: Concepts, issues, and applications

10.1037/0003-066X.61.1.50

Embretson S. E., 2007, Modeling contextual effects in longitudinal studies, 63

10.1027/1614-2241.4.1.22

10.1207/S15328007SEM0803_7

Horn J. L., 1983, When is invariance not invariant: A practical scientist’s look at the ethereal concept of factorial invariance, Southern Psychologist, 1, 179

10.1007/BF02291366

10.1177/0013164494054003022

10.1080/10705510701575438

10.1207/s15327906mbr3201_3

10.1207/S15328007SEM0902_1

10.1037/1082-989X.12.1.23

10.1177/0013164498058006002

10.1007/978-1-4613-0893-5_17

McArdle J. J., 2001, Structural equation modeling: Present and future, 342

10.1016/B978-0-12-724960-5.50010-X

10.1016/B978-0-12-101280-9.50008-5

10.1207/s15327906mbr2901_3

10.2307/1130295

10.1037/10409-005

10.1037/0033-2909.107.2.247

10.1007/BF02289699

10.1007/BF02289700

10.1007/BF02294825

10.1037/10409-007

Meredith W., 1984, Statistical considerations in Tuckerizing curves with emphasis on growth curves and cohort sequential analysis

10.1007/BF02294746

10.1111/j.1750-8606.2009.00109.x

Millsap R. E., 2007, Factor analysis at 100: Historical developments and new directions, 131

Nesselroade J. R., 1983, Life‐span development and behavior, 59

10.1111/j.1467-8624.2004.00807.x

10.2307/2527726

10.1177/0013164498058006010

10.1037/10409-006

10.1037/h0022371

Schaie K. W., 1977, Handbook of the psychology of aging, 39

Steiger J. H., 1980, Statistically based tests for the number of common factors

10.1007/BF02288975

10.1007/BF02291170

10.1037/10099-013

10.1016/1041-6080(92)90002-V

10.1037/10222-009

10.1037/1082-989X.8.1.16

10.1037/h0028600

Wohlwill J. F., 1973, The study of behavioral development