Homepage
02/08
Conor V. Dolan,
Psychology, FMG,
University
of Amsterdam.
Roetersstraat 15,
1018WB AMSTERDAM
c.v.dolan at
uva dot nl
Below
the upshot of my work in terms of a few computer programs, and papers (in
print, in press, or submitted).
The
papers concerns structural equation modeling (go),
finite mixture modeling (go), group
differences in IQ test scores (go),
and behavior genetics (go).
Computer programs are next...
FORTRAN 77 Programs
FITDIS: distributional RT analysis based on ML
estimation. See paper 5.1, 5.2 (below).
Program (exe and src) + documentation: DISFIT (zipfile, about 631Kb), and an unpblished report
on accommodating outliers using a censored mixture distributions (outlier5)
MKFM6: multi-group, multi-subject stationary
timeseries modeling based on the Kalman Filter. See paper 2.12 (below). Program
(exe and src) + documentation: MKFM6 (zipfile, about
382 Kb). VERSION:4/feb/05. Previous version contained a bug in the multi-group option.
VERSION:09/juli/07. Some small errors in error trapping fixed. MKFM6(RdeSh) (This is a version with specs: max nm=25
nt=1000 ns= 200 ny=30 nx= 5 ne=30 npar=400). MKFM6p
& MKFM6p2(Versions for simulation).
MDXGEN3m:
RZX2: Calculates expected pi-hat given sibpair
selection according to the method of Risch & Zhang (Science, 268,
1584-1589). See paper 1.3 below. Program + documentation: rzx2
(zipfile, about 51 Kb).
SEM related misc.
2.17 Conor V. Dolan, Frans J. Oort,
Reinoud D. Stoel,, and Jelte Wicherts. (2007). Testing measurement
invariance in the target rotated multi-group exploratory factor model.
Structural Equation Modeling. In press.
2.16 David Hessen & Conor Dolan
(2005). A heteroscedastic one-factor model and marginal maximum likelihood
estimation of the parameters. British Journal of Mathematical and
Statistical Psychology. In press.
2.15 Peter van Rijn, Conor Dolan, and
Peter Molenaar (2004). Fitting autoregressive models to
multivariate categorical time series.
Submitted. See http://users.fmg.uva.nl/pvanrijn/.
2.14 Reinoud D. Stoel, Francisca Galindo Garre, Conor Dolan,
Godfried van den Wittenboer (2006). On the Likelihood Ratio test in structural equation
modeling when parameters are subject to boundary constraints. Psychological
Methods. See: http://home.medewerker.uva.nl/r.d.stoel/
2.13
David J.
Hessen, Conor V. Dolan, and Jelte M. Wicherts (2006). Multi-group exploratory
factor analysis and the power to detect uniform bias. Applied Psychological
Research, 30(3), 233-246 (pdf, about 150Kb).
2.12
Sophie van der Sluis,
2.11 Dolan, C.V., van der Sluis, S., & Grasman, R. (2005). A
note on normal theory power calculation in structural equation modeling with
data missing completely at random. Structural Equation Modeling, 12(2),
245-262 (PDF,
about 260 Kb; appendices 1 & 2 as wordfile: app1&2.doc).
2.10 Lubke, G.H., Dolan, C.V., Kelderman, H., & Mellenbergh, G.J.
(2003). Weak measurement invariance with respect to
unmeasured variables: An implication of strict factorial invariance. British
Journal of Mathematical and Statistical Psychology, 56, 231-248.
2.9 Ellen L. Hamaker,
Conor V. Dolan, and Peter C.M. Molenaar (2005). Statistical
modeling of the individual: rationale and application of multivariate time
series analysis. Multivariate Behavior Research, 40(2), 207-233. FORTRAN PROG. MKFM6 – see above. See http://users.fmg.uva.nl/ehamaker/
2.8 Conor V. Dolan, Jelte M. Wicherts, and Peter
C.M. Molenaar (2004). A note on the relationship between the
number of indicators and their reliability in detecting regression coefficients
in latent regression analysis. Structural Equation Modeling, 11, 210-216
(PDF, about 57 Kb).
2.7 Jelte M. Wicherts &
Conor V. Dolan (2004). A cautionary note on the use of information fit indices
in covariance structure modeling with means. Structural Equation Modeling,
11, 45-50. See http://users.fmg.uva.nl/jwicherts/
2.6 Hamaker, E.L., Dolan, C.V., and Molenaar,
P.C.M. (2003). ARMA based SEM when the number of timepoints T exceeds the
number of cases N: Raw data Maximum Likelihood. Structural Equation Modeling,
10(3), p. 352-379. See http://users.fmg.uva.nl/ehamaker/
2.5 Lubke, G.H. &
Dolan, C.V. (2003). Can Unequal Residual Variances Across Groups
Mask Differences in Residual Means in the Common Factor Model? Structural
Equation Modeling,
10(2), 175–192 (PDF, about 92
Kb).
2.4 Dolan, C.V. and Molenaar, P.C.M. (1994). Testing
specific hypotheses concerning latent group differences in multi-group covariance structure analysis
with structured means. Multivariate Behavioral Research, 29(3),
203-222 (PDF, about 737 Kb).
2.3 Dolan, C.V. (1996). Principal component analysis
using LISREL 8. Structural Equation Modeling, 3, 307-322.
2.2 Hamaker, E.L., Dolan,
C.V., and Molenaar, P.C.M. (2002). On the nature of SEM estimates of ARMA
parameters. Structural Equation Modeling, 9(3), p. 347-368. See http://users.fmg.uva.nl/ehamaker/
2.1 Dolan, C.V., Bechger, T. & Molenaar, P.C.M (1999). Using structural equation modeling to fit models
incorporating principal components. Structural Equation Modeling, 6(3),
233-261 (PDF, about 950 Kb) LISREL
& Mx Input files (zipped text file, about 10 Kb).
Finite mixture modeling
4.5 Verena D. Schmittmann, Conor V. Dolan, Han van der Maas, & Michael C. Neale (2006). Discrete
latent Markov models for normally distributed response data. Multivariate
Behavioral Research , 40(4), 461-484. See http://users.fmg.uva.nl/vschmittmann/
4.4
Conor V. Dolan, Verena D. Schmittmann,
Michael C. Neale, & Gitta H. Lubke
(2005). Regime
switching in the latent growth curve mixture model. Structural Equation
Modeling, 12(1), 94-119 (PDF, about 243 Kb; Mx
input files and raw data, mm.zip).
4.3 Dolan, C.V., Jansen, B.R.J., & van der Maas, H.L.J. (2004). Constrained and unconstrained normal finite mixture
modeling of multivariate conservation data. Multivariate Behavioral Research,
39(1), 69-98 (PDF, about 295 Kb). FORTRAN PROG.
MDXGEN – see above
4.2 Dolan, C.V., van der Maas, H. & Molenaar, P.C.M. (2002). A framework for ML estimation of parameters of
(mixtures of) common reaction time distributions given optional truncation or
censoring. Behavioral Research Methods, Instruments, and Computers, 34(3),
304-323, (PDF, about 365 Kb). FORTRAN PROG. FITDIS – see above.
4.1 Dolan, C.V. and van
der Maas, H.J.L. (1998). Fitting
multivariate normal mixtures subject to structural equation modeling. Psychometrika,
63, 227-253 (PDF, about 1.56 Mb)
Papers relating to group
difference in (IQ) test scores
3.14.
Sophie van der Sluis, Catherine Derom, Evert Thiery, Meike Bartels, Tinca
J.C. Polderman, F.C. Verhulst, Nele Jacobs, Sofie van Gestel, Eco J.C. de Geus,
Conor V. Dolan, Dorret I. Boomsma, Danielle Posthuma (2007). Sex differences on
the WISC-R in Belgium and the Netherlands. Intelligence, in press.
3.13. Wicherts, J.M., Dolan, C.V., &
Hessen, D.J. (2005). Measurement invariance and group differences in intercepts
in confirmatory factor analysis. Submitted.
See http://users.fmg.uva.nl/jwicherts/
3.12. M. Huizinga, Dolan, C.V., and van der
Molen, M.W. (2006). Age-realted change in executive function: Developmental
trends and a latent variable analysis. Neuropsychologia, 44,
2017-2036. http://users.fmg.uva.nl/mhuizinga/
3.11. Sophie van der Sluis, Danielle Posthuma, Conor V. Dolan, Eco J.C. de
Geus, Roberto Colom, & Dorret I. Boomsma. (2005). Sex differences on the Dutch
WAIS-IIIR. Intelligence, 34, 273-289 (http://www.psy.vu.nl/fpp.php/departments/biologicalpsychology/people/details.html?id=505.
Documentation of Mx specification: dep.pdf (pdf), dep.doc (word).
3.10. Wicherts, J.M., Dolan, C.V., & Hessen,
D.J.(2005). Stereotype threat and group differences in test performance: A
question of measurement invariance. Journal of Personality and Social
Psychology, 89(5), 696-716.
See http://users.fmg.uva.nl/jwicherts/
3.9 Conor V. Dolan, Roberto Colom, Francisco J. Abad,
Jelte Wicherts, David J. Hessen, &
Sophie van der Sluis (2006). Multi-group covariance and mean
structure modeling of the relationship between WAIS-III common factors and
gender and educational attainment in
3.8 Jelte M. Wicherts, Conor V. Dolan, David J. Hessen, Paul Oosterveld,
G.Caroline M. van Baal, Dorret I. Boomsma, & Mark M. Span (2004). Are intelligence tests measurement invariant over
time? Investigating the nature of the Flynn effect. Intelligence, 32,
509-537.
See http://users.fmg.uva.nl/jwicherts/
3.7 Dolan, C.V.
(2000). A model-based approach to Spearman's hypothesis. Multivariate
Behavioral Research, 35, 21-50 (PDF, about
134 Kb). LISREL Input files (zipped text file, about
3Kb).
3.6
Dolan, C.V. Roorda, W., and Wicherts, J. M. (2004). Two failures of Spearman's
hypothesis: The GATB in
3.5 Dolan, C.V. and Hamaker, E.L. (2001). Investigating
black-white differences in psychometric IQ: Multi-group confirmatory factor
analyses of the WISC-R and K-ABC, and a critique of the method of correlated
vectors. In: Frank Columbus, Editor, Advances in Psychological Research vol.
VI, pp. 31-60.
3.4 Dolan,
C.V. and Lubke, G.H. (2001). Viewing Spearman's hypothesis from the perspective
of multi-group PCA: A comment on Schonemann's criticism. Intelligence, 29,
231-245 (PDF, about 176 Kb).
3.3 Dolan, C.V.
(1997). A note on Schönemann's refutation of Spearman's hypothesis. Multivariate
Behavioral Research, 32, 319-325 (PDF about
359 Kb).
3.2 Lubke,
G.H., Dolan, C.V. and Kelderman, H. (2001). Investigating black-white
differences on cognitive tests using Spearman’s hypothesis: an evaluation of
Jensen’s method. Multivariate Behavioral Research, 36(3), 299-324 (PDF, about 201 Kb).
3.1 Lubke,
G.H., Dolan, C.V., Kelderman, H., and Mellenbergh, G.J. (2003). On
the relationship between sources of within- and between-group differences and
measurement invariance in the common factor model. Intelligence 31(6),
543-566 (PDF, about 260 Kb).
Papers related to behavioral genetic research
http://www.tweelingenregister.org/
Best things in life are free
