The present study investigated the psychometric properties of the Raven’s Colored Progressive Matrices (CPM) test in a sample of preschoolers from Brazil (n = 582; age: mean = 57 months, SD = 7 months; 46% female). We investigated the plausibility of unidimensionality of the items (confirmatory factor analysis) and differential item functioning (DIF) for sex and age (multiple indicators multiple causes method). We tested four unidimensional models and the one with the best-fit index was a reduced form of the Raven’s CPM. The DIF analysis was carried out with the reduced form of the test. A few items presented DIF (two for sex and one for age), confirming that the Raven’s CPM items are mostly measurement invariant. There was no effect of sex on the general factor, but increasing age was associated with higher values of the g factor. Future research should indicate if the reduced form is suitable for evaluating the general ability of preschoolers.
AbadF. J.ColomR.RebolloI.EscorialS. (2004). Sex differential item functioning in the Raven’s Advanced Progressive Matrices: Evidence for bias. Personality and Individual Differences, 36, 1459-1470. doi:10.1016/S0191-8869(03)00241-1
2.
AngeliniA. L.AlvesI. C. B.CustódioE. M.DuarteW. F.DuarteJ. L. M. (1999). Matrizes progressivas coloridas de Raven: Escala especial [Raven Coloured Progressive Matrices: Special scale]. São Paulo, Brazil: Centro Editor de Testes e Pesquisas em Psicologia.
3.
ArthurW.DayD. (1994). Development of a short form for the Raven Advanced Progressive Matrices test. Educational and Psychological Measurement, 54, 394-403. doi:10.1177/0013164494054002013
4.
ArthurW.WoehrD. J. (1993). A confirmatory factor analytic study examining the dimensionality of the Raven’s Advanced Progressive Matrices. Educational and Psychological Measurement, 53, 471-478. doi:10.1177/0013164493053002016
5.
AsparouhovT. (2005). Sampling weights in latent variable modeling. Structural Equation Modeling: A Multidisciplinary Journal, 12, 411-434. doi:10.1207/s15328007sem1203_4
6.
AsparouhovT. (2006). General multi-level modeling with sampling weights. Communications in Statistics: Theory and Methods, 35, 439-460. doi:10.1080/03610920500476598
7.
BandalosD. L.FinneyS. J. (2001). Item parceling issues in structural equation modeling. MarcoulidesG. A.SchumackerR. E. (Eds.), New developments and techniques in structural equation modeling (pp. 269-296). Hillsdale, NJ: Lawrence Erlbaum.
8.
BeauducelA.HerzbergP. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling: A Multidisciplinary Journal, 13, 186-203. doi:10.1207/s15328007sem1302_2
9.
BilkerW. B.HansenJ. A.BrensingerC. M.RichardJ.GurR. E.GurR. C. (2012). Development of abbreviated nine-item forms of the Raven’s Standard Progressive Matrices Test. Assessment, 19, 354-369. doi:10.1177/1073191112446655
10.
BollenK. A. (1998). Structural equations with latent variables. New York, NY: John Wiley.
11.
BorsD. A.StokesT. L. (1998). Raven’s Advanced Progressive Matrices: Norms for first-year university students and the development of a short form. Educational and Psychological Measurement, 58, 382-398. doi:10.1177/0013164498058003002
12.
BrownT. (2015). CFA with equality constraints, multiple groups, and mean structures. In BrownT. (Ed.), Confirmatory factor analysis for applied research (2nd ed., pp. 236-319). New York, NY: Guilford Press.
13.
BurkeH. R. (1958). Raven’s Progressive Matrices: A review and critical evaluation. Journal of Genetic Psychology, 93, 199-228. doi:10.1080/00221325.1958.10532420
14.
CaffarraP.VezzadiniG.ZonatoF.CopelliS.VenneriA. (2003). A normative study of a shorter version of Raven’s Progressive Matrices 1938. Neurological Sciences, 24, 336-339. doi:10.1007/s10072-003-0185-0
15.
CarlsonJ. S.JensenC. M. (1980). The factorial structure of the Raven Coloured Progressive Matrices Test: A reanalysis. Educational and Psychological Measurement, 40, 1111-1116. doi:10.1177/001316448004000440
16.
CarpenterP. A.JustM. A.ShellP. (1990). What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97, 404-431.
17.
ChiesiF.CiancaleoniM.GalliS.MorsanyiK.PrimiC. (2012). Item response theory analysis and differential item functioning across age, gender and country of a short form of the advanced progressive matrices. Learning and Individual Differences, 22, 390-396.
18.
ChiesiF.CiancaleoniM.GalliS.PrimiC. (2012). Using the Advanced Progressive Matrices (Set I) to assess fluid ability in a short time frame: An item response theory-based analysis. Psychological Assessment, 24, 892-900. doi:10.1037/a0027830
19.
ColomR.AbadF. J. (2007). Advanced progressive matrices and sex differences: Comment to Mackintosh and Bennett (2005). Intelligence, 35, 183-185. doi:10.1016/j.intell.2006.06.003
20.
ColomR.EscorialS.RebolloI. (2004). Sex differences on the Progressive Matrices are influenced by sex differences on spatial ability. Personality and Individual Differences, 37, 1289-1293. doi:10.1016/j.paid.2003.12.014
21.
ColomR.Garcı́a-LópezO. (2002). Sex differences in fluid intelligence among high school graduates. Personality and Individual Differences, 32, 445-451. doi:10.1016/S0191-8869(01)00040-X
22.
DillonR. F.PohlmannJ. T.LohmanD. F. (1981). A factor analysis of Raven’s Advanced Progressive Matrices freed of difficulty factors. Educational and Psychological Measurement, 41, 1295-1302. doi:10.1177/001316448104100438
23.
FaconB.MagisD.NuchadeeM. L.De BoeckP. (2011). Do Raven’s Colored Progressive Matrices function in the same way in typical and clinical populations? Insights from the intellectual disability field. Intelligence, 39, 281-291. doi:10.1016/j.intell.2011.04.002
24.
FaconB.NuchadeeM. L. (2010). An item analysis of Raven’s Colored Progressive Matrices among participants with Down syndrome. Research in Developmental Disabilities, 31, 243-249. doi:10.1016/j.ridd.2009.09.011
25.
HauK. T.MarshH. W. (2004). The use of item parcels in structural equation modelling: Non-normal data and small sample sizes. British Journal of Mathematical and Statistical Psychology, 57, 327-351. doi:10.1111/j.2044-8317.2004.tb00142.x
26.
IrwingP.LynnR. (2005). Sex differences in means and variability on the progressive matrices in university students: A meta-analysis. British Journal of Psychology, 96, 505-524. doi:10.1348/000712605X53542
27.
JensenA. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.
28.
KaufmanS. B. (2007). Sex differences in mental rotation and spatial visualization ability: Can they be accounted for by differences in working memory capacity?Intelligence, 35, 211-223. doi:10.1016/j.intell.2006.07.009
29.
KennyD. A.McCoachD. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 10, 333-351. doi:10.1207/S15328007SEM1003_1
30.
LawtonC. A. (2010). Gender, spatial abilities, and wayfinding. In ChrislerJ. C.McCrearyD. R. (Eds.), Handbook of gender research in psychology (pp. 317-341). New York, NY: Springer.
31.
LittleT. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
32.
LittleT. D.CunninghamW. A.ShaharG.WidamanK. F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9, 151-173. doi:10.1207/S15328007SEM0902_1
33.
LynnR. (1999). Sex differences in intelligence and brain size: A developmental theory. Intelligence, 27, 1-12. doi:10.1016/S0160-2896(99)00009-4
34.
LynnR.IrwingP. (2004). Sex differences on the progressive matrices: A meta-analysis. Intelligence, 32, 481-498. doi:10.1016/j.intell.2004.06.008
35.
MackintoshN. J. (1996). Sex differences and IQ. Journal of Biosocial Science, 28, 559-572.
36.
MackintoshN. J.BennettE. S. (2005). What do Raven’s Matrices measure? An analysis in terms of sex differences. Intelligence, 33, 663-674. doi:10.1016/j.intell.2005.03.004
MunizM.GomesC. M. A.PasianS. R. (2016). Factor structure of Raven’s Coloured Progressive Matrices. Psico-USF, 21, 259-272. doi:10.1590/1413-82712016210204
39.
MuthénL. K.MuthénB. O. (2012). Mplus: The comprehensive modelling program for applied researchers: User’s guide (5th ed.). Los Angeles, CA: Muthén & Muthén.
40.
PasqualiL.WechslerS.BensusanE. (2002). Matrizes Progressivas do Raven Infantil: Um estudo de validação para o Brasil [Raven’s Colored Progressive Matrices for children: A validation study for Brazil]. Avaliação Psicológica, 1, 95-110.
41.
RavenJ. (2000). The Raven’s Progressive Matrices: Change and stability over culture and time. Cognitive Psychology, 41, 1-48.
42.
RavenJ. (2008). The Raven Progressive Matrices tests: Their theoretical basis and measurement model. In RavenJ.RavenC. J. (Eds.), Uses and abuses of intelligence: Studies advancing Spearman and Raven’s quest for non-arbitrary metrics (pp. 17-68). Unionville, NY: Royal Fireworks Press.
43.
RodriguezA.ReiseS. P.HavilandM. G. (2016a). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98, 223-237. doi:10.1080/00223891.2015.1089249
44.
RodriguezA.ReiseS. P.HavilandM. G. (2016b). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21, 137-150. doi:10.1037/met0000045
45.
SatorraA. (2000). Scaled and adjusted restricted tests in multi-sample analysis of moment structures. In HeijmansR. D. H.PollockD. S. G.SatorraA. (Eds.), Innovations in multivariate statistical analysis: A Festschrift for Heinz Neudecker (pp. 233-247). London, England: Kluwer Academic.
46.
SistoF. F.Marín RuedaF. J.BartholomeuD. (2006). Estudo sobre a unidimensionalidade do teste Matrizes Progressivas Coloridas de Raven [Unidimensionality study about Raven’s Coloured Standard Progressive Matrices]. Psicologia: Reflexão e Crítica, 19(1), 66-73. doi:10.1590/S0102-79722006000100010
47.
Van der ElstW.OuwehandC.van RijnP.LeeN.Van BoxtelM.JollesJ. (2013). The shortened Raven Standard Progressive Matrices: Item response theory-based psychometric analyses and normative data. Assessment, 20, 48-59. doi:10.1177/1073191111415999
48.
van der VenA. H. G. S.EllisJ. L. (2000). A Rasch analysis of Raven’s standard progressive matrices. Personality and Individual Differences, 29, 45-64. doi:10.1016/s0191-8869(99)00177-4
49.
WaschlN. A.NettelbeckT.JacksonS. A.BurnsN. R. (2016). Dimensionality of the Raven’s Advanced Progressive Matrices: Sex differences and visuospatial ability. Personality and Individual Differences, 100, 157-166. doi:10.1016/j.paid.2015.12.008
50.
WiedlK. H.CarlsonJ. S. (1976). The factorial structure of the Raven Coloured Progressive Matrices test. Educational and Psychological Measurement, 36, 409-413.
