舞者英文-笔迹
蔡力博士
2008
年毕业于北卡罗来纳大学教堂
山分校定量心理学专业,现任美国加利福
尼亚大学洛杉矶分校心理系定量心理学方向、<
/p>
教育和信息研究研究生院高级定量方法方向副
教授,
以及评价、
标准和学生测试研究中心联合主任。
因其
在测量和统计分析领域的杰出成
果,
2011
< br>年被美国心理协会授予
Anne Anastasi
青年
奖,
2012
年获美国青年学家总统奖。
蔡力教授在统计与定量方法、
教育与心理测量等领域发表论
文三十多篇,
担任国际著名
期刊《
Co
mmunication
Methods
and
Measures
》和《
Journal
of
Educational
and
Behavioral
St
atistics
》的编委。另外,蔡力教授还组织开发完成了功能强大的测量软件
p>
IRTPRO
和
flexMIRT
,
主要负责核心算法部分的实现,
其中
IRTPRO
软件已于
2011
年由著名的国际科学
软件公司
(Scientific
Software International, SSI)
出品。
附件:蔡力教授主要学术成果:
Publications on Statistics and
Quantitative Methodology
1.
MacCallum,
R.
C.,
Browne,
M.
W.,
&
Cai,
L.
(2006).
Testing
di
?
erences
between
nested
covariance structure models: Power
analysis and null hypotheses. Psychological
Methods, 11,
19
–
35.
2.
Cai,
L.
(2006).
Multi-
response
permutation
procedure
as
an
alternative
to
the
analysis
of
variance: An SPSS implementation.
Behavior Research Methods, 38,
51
–
59.
3.
Maydeu-
Olivares, A., & Cai, L. (2006). A cautionary note
on using G2(dif) to assess relative
model ?t in categorical data analysis.
Multivariate Behavioral Research, 41,
55
–
64.
4.
December 29,
2012 1Hayes, A. F., & Cai, L. (2007). Further
evaluating the validity of the
conditional
decision
rule
for
comparing
two
independent
means.
British
Journal
of
Mathematical and
Statistical Psychology, 60,
217
–
244.
5.
Cai,
L.,
&
Hayes,
A.
F.
(2008).
A
new
test
of
linear
hypotheses
in
OLS
regression
under
heteroscedasticity
of
unknown
form.
Journal
of
Educational
and
Behavioral
Statistics,
33,
21
–
40.
6.
Hayes, A . F.,
& Cai, L. (2008). Using heteroscedasticity-
consistent standard error estimators
in
OLS
regression:
An
introduction
and
software
implementation.
Behavior
Research
Methods, 39,
709
–
722.
7.
Cai,
L.
(2008).
SEM
of
another
?avour:
Two
new
applications
of
the
supplemented
EM
algorithm. British
Journal of Mathematical and Statistical
Psychology, 61, 309
–
329.
8.
Bauer, D. J.,
& Cai, L. (2009). Consequences of unmodeled
nonlinear e
?
ects in
multilevel
models. Journal of
Educational and Behavioral Statistics, 34,
97
–
114.
9.
Cai,
L.,
&
Lee,
T.
(2009).
Covariance
structure
model
?t
testing
under
missing
data:
An
application
of
the
supplemented
EM
algorithm.
Multivariate
Behavioral
Research,
44,
281
–
304.
10.
Maydeu-
Olivares, A., Cai,
L., & Hernandez, A. (2011). Comparing the ?t of
IRT
and factor
analysis
models. Structural Equation Modeling, 18,
333
–
356.
11.
Cai, L.
(2012). Latent variable modeling. Shanghai
Archives of Psychiatry (Bio-statistics in
Psychiatry Section), 24, 118-120.
12.
MacCallum, R.
C., Edwards, M. C., & Cai, L. (2012). Hopes and
cautions in implementing
Bayesian
structural equation modeling. Psychological
Methods, 17, 340-345.
13.
Lee, T., & Cai, L. (2012). Alternative
multiple imputation inference for mean and
covariance
structure modeling. Journal
of Educational and Behavioral Statistics, 37,
675-702.
14.
Cai,
L.
(in
press).
Review
of
Borkar’s
(2008)
Stochastic
Approx
imation:
A
Dynamical
Systems
Viewpoint.
Journal
of
Educational
and
Behavioral
Statistics.
Publications
on
Educational and
Psychological Measurement
15.
Cai,
L.,
Maydeu-Olivares,
A.,
Co
?
man, D.
L.,
&
Thissen, D.
(2006).
Limited-information
goodness-of-
?t
testin
g of item response theory models
for sparse 2P tables. British Journal of
Mathematical and Statistical
Psychology, 59, 173
–
194.
16.
Curran, P.
J., Hussong, A. M., Cai, L., Huang, W., Chassin,
L., Sher, K. J., & Zucker, R. A.
(2008). Pooling data from multiple
prospective studies: The role of item response
theory in
integrative analysis.
Developmental Psychology, 44,
365
–
380.
17.
Cai, L.
(2010). High-dimensional exploratory item factor
analysis by a Metropolis-Hastings
Robbins-Monro algorithm. Psychometrika,
75, 33-57.
18.
Cai, L. (2010). Metropolis-Hastings
Robbins-
Monro algorithm for con?rmatory
item
factor
analysis.
Journal of Educational and Behavioral Statistics,
35, 307
–
335.
19.
December 29,
2012 2Cai, L. (2010). A two-tier full-information
item factor analysis model
with
applications. Psychometrika, 75, 581-612.
20.
Reise, S.,
Preston, K., Cai, L., & Hays, R. D. (2011). Using
the nominal response model to
evaluate
response
category
discrimination
in
the
PROMIS
emotional
distress
item
pools.
Educational and Psychological
Measurement, 71, 523
–
550.
21.
Cai, L.,
Yang, J. S. & Hansen, M. (2011). Generalized full-
information item bifactor analysis.
Psychological Methods, 16,
221
–
248.
22.
Swartz, R.
J., Schwartz, C., Basch, E., Cai, L., Fairclough,
D. L., McLeod, L., Mendoza, T.,
&
Rapkin, B.
(2011). The King’s
Foot of patient
-reported
outcomes: Current practices and
new
developments for the measurement of change.
Quality of Life Research, 20,
1159
–
1167.
23.
Carle, A. C.,
Cella, D., Cai, L., Choi, S. W., Crane, P. K.,
Curtis, S. M., Gruhl, J., Lai, J.,
Mukherjee,
S.,
Reise,
S.,
Teresi,
J.,
Thissen,
D.,
Wu,
E.
J.,
&
Hays,
R.(2011).
Advancing
PROMIS’s
methodology:
Results
of
the
third
PROMIS
Psychometric
Summit.
Expert
Review of Pharmacoeconomics & Outcomes
Research, 11, 677
–
684.
24.
Yang, J. S.,
Hansen, M., & Cai, L. (2012). Characterizing
sources of uncertainty in IRT scale
scores. Educational and Psychological
Measurement, 72, 264
–
290.
25.
Cai, L., &
Hansen, M. (in press). Limited-information
goodness-of-
?t testing of
hierarchical
item factor models.
British Journal of Mathematical and Statistical
Psychology.
26.
Cai, L. (in press). Potential
applications of latent variable modeling for the
psychometrics of
medical simulation.
Military Medicine.
27.
Woods,
C.
M.,
Cai,
L.,
&
Wang,
M.
(in
press).
The
Langer-improved
Wald
test
for
DIF
testing with multiple groups:
Evaluation and comparison to two-group IRT.
Educational and
Psychological
Measurement.
28.
Tian, W., Cai, L., Thissen, D., & Xin,
T. (in press). Numerical
di
?
erentiation
methods for
computing error
covariance matrices in item response theory
modeling: An evaluation and a
new
proposal. Educational and Psychological
Measurement.
Publications on Substantive Topics
1.
Ennett, S. T.,
Bauman, K. E., Hussong, A., Faris, R., Foshee,
V
. A., DuRant, R., & Cai, L.
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