-
1
-
-
0002188633
-
Statistical modeling issues in school effectiveness studies
-
Retrieved from
-
Aitkin, M. A., & Longford, N. T. (1986). Statistical modeling issues in school effectiveness studies. Journal of the Royal Statistical Society, 149, 1–26. Retrieved from http://www.jstor.org/stable/2981882.
-
(1986)
Journal of the Royal Statistical Society
, vol.149
, pp. 1-26
-
-
Aitkin, M.A.1
Longford, N.T.2
-
2
-
-
0000254441
-
Maximum likelihood estimates for a multivariate normal distribution when some observations are missing
-
Retrieved from
-
Anderson, T. W. (1957). Maximum likelihood estimates for a multivariate normal distribution when some observations are missing. Journal of the American Statistical Association, 52, 200–203. Retrieved from http://www.jstor.org/stable/2280845.
-
(1957)
Journal of the American Statistical Association
, vol.52
, pp. 200-203
-
-
Anderson, T.W.1
-
3
-
-
77952026461
-
Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures
-
Austin, P. C. (2010). Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures. The International Journal of Biostatistics, 6, 1–18. doi:10.2202/1557-4679.1195.
-
(2010)
The International Journal of Biostatistics
, vol.6
, pp. 1-18
-
-
Austin, P.C.1
-
4
-
-
84941173119
-
Simulation methods in structural equation modeling
-
Hoyle RH, (ed), Guildford Press, New York
-
Bandalos, D. L., & Gagné, P. (2012). Simulation methods in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 92–108). New York: Guildford Press.
-
(2012)
Handbook of structural equation modeling
, pp. 92-108
-
-
Bandalos, D.L.1
Gagné, P.2
-
5
-
-
0142169443
-
Estimating multilevel linear models as structural equation models
-
Bauer, D. J. (2003). Estimating multilevel linear models as structural equation models. Journal of Educational and Behavioral Statistics, 28, 135–167. doi:10.3102/10769986028002135.
-
(2003)
Journal of Educational and Behavioral Statistics
, vol.28
, pp. 135-167
-
-
Bauer, D.J.1
-
6
-
-
83755185645
-
Fitting multilevel models with ordinal outcomes: Performance of alternative specifications and methods of estimation
-
PID: 22040372
-
Bauer, D. J., & Sterba, S. K. (2011). Fitting multilevel models with ordinal outcomes: Performance of alternative specifications and methods of estimation. Psychological Methods, 16, 373–390. doi:10.1037/a0025813.
-
(2011)
Psychological Methods
, vol.16
, pp. 373-390
-
-
Bauer, D.J.1
Sterba, S.K.2
-
7
-
-
0001610297
-
Sample size effects on chi square and other statistics used in evaluating causal models
-
Bearden, W. O., Sharma, S., & Teel, J. E. (1982). Sample size effects on chi square and other statistics used in evaluating causal models. Journal of Marketing Research, 19, 425–430. doi:10.2307/3151716.
-
(1982)
Journal of Marketing Research
, vol.19
, pp. 425-430
-
-
Bearden, W.O.1
Sharma, S.2
Teel, J.E.3
-
8
-
-
0025397298
-
Comparative fit indexes in structural models
-
COI: 1:STN:280:DyaK3c3gslGlsg%3D%3D, PID: 2320703
-
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238.
-
(1990)
Psychological Bulletin
, vol.107
, pp. 238-246
-
-
Bentler, P.M.1
-
9
-
-
0001318303
-
Overall fit in covariance structure models: Two types of sample size effects
-
Bollen, K. A. (1990). Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin, 107, 256–259. doi:10.1037/0033-2909.107.2.256.
-
(1990)
Psychological Bulletin
, vol.107
, pp. 256-259
-
-
Bollen, K.A.1
-
11
-
-
80053144671
-
Structural equation models and the quantification of behavior
-
COI: 1:CAS:528:DC%2BC3MXht1Cisb3N, PID: 21730136
-
Bollen, K. A., & Noble, M. D. (2011). Structural equation models and the quantification of behavior. Proceedings of the National Academy of Sciences of the United States of America, 108, 15639–15646. doi:10.1073/pnas.1010661108.
-
(2011)
Proceedings of the National Academy of Sciences of the United States of America
, vol.108
, pp. 15639-15646
-
-
Bollen, K.A.1
Noble, M.D.2
-
12
-
-
0011241944
-
Approximate inference in generalized linear mixed models
-
Retrieved from
-
Breslow, N. E., & Clayton, D. G. (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistical Association, 88, 9–25. Retrieved from http://www.jstor.org/stable/2290687.
-
(1993)
Journal of the American Statistical Association
, vol.88
, pp. 9-25
-
-
Breslow, N.E.1
Clayton, D.G.2
-
13
-
-
0842285954
-
Have multilevel models been structural equation models all along?
-
Curran, P. J. (2003). Have multilevel models been structural equation models all along? Multivariate Behavioral Research, 38, 529–569. doi:10.1207/s15327906mbr3804_5.
-
(2003)
Multivariate Behavioral Research
, vol.38
, pp. 529-569
-
-
Curran, P.J.1
-
14
-
-
84885330132
-
Disaggregating within-person and between-person effects in multilevel and structural equation growth models
-
Harring JR, Hancock GR, (eds), Information Age Publishing, Charlotte
-
Curran, P. J., Lee, T., Howard, A. L., Lane, S., & MacCallum, R. (2012). Disaggregating within-person and between-person effects in multilevel and structural equation growth models. In J. R. Harring & G. R. Hancock (Eds.), Advances in longitudinal models in the social and behavioral sciences (pp. 217–253). Charlotte: Information Age Publishing.
-
(2012)
Advances in longitudinal models in the social and behavioral sciences
, pp. 217-253
-
-
Curran, P.J.1
Lee, T.2
Howard, A.L.3
Lane, S.4
MacCallum, R.5
-
16
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Retrieved from
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 44, 1–38. Retrieved from http://www.jstor.org/stable/2984875?origin=JSTOR-pdf.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.44
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
17
-
-
0036594674
-
A multilevel analysis of neighborhood context and youth alcohol and drug problems
-
PID: 12088137
-
Duncan, S. C., Duncan, T. E., & Strycker, L. A. (2002). A multilevel analysis of neighborhood context and youth alcohol and drug problems. Prevention Science, 3, 125–133. doi:10.1023/A:1015483317310.
-
(2002)
Prevention Science
, vol.3
, pp. 125-133
-
-
Duncan, S.C.1
Duncan, T.E.2
Strycker, L.A.3
-
18
-
-
22144444619
-
Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes
-
Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling, 6, 56–83. doi:10.1080/10705519909540119.
-
(1999)
Structural Equation Modeling
, vol.6
, pp. 56-83
-
-
Fan, X.1
Thompson, B.2
Wang, L.3
-
19
-
-
33745683380
-
Measurement model quality, sample size, and solution propriety in confirmatory factor models
-
Gagné, P., & Hancock, G. R. (2006). Measurement model quality, sample size, and solution propriety in confirmatory factor models. Multivariate Behavioral Research, 41, 65–83. doi:10.1207/s15327906mbr4101_5.
-
(2006)
Multivariate Behavioral Research
, vol.41
, pp. 65-83
-
-
Gagné, P.1
Hancock, G.R.2
-
20
-
-
0026055008
-
Structure of problem behaviors in preadolescence
-
COI: 1:STN:280:DyaK38%2Fht1Cnug%3D%3D, PID: 1918552
-
Gillmore, M. R., Hawkins, J. D., Catalano, R. F., Jr., Day, L. E., Moore, M., & Abbott, R. (1991). Structure of problem behaviors in preadolescence. Journal of Consulting and Clinical Psychology, 59, 499–506. doi:10.1037/0022-006X.59.4.499.
-
(1991)
Journal of Consulting and Clinical Psychology
, vol.59
, pp. 499-506
-
-
Gillmore, M.R.1
Hawkins, J.D.2
Catalano, R.F.3
Day, L.E.4
Moore, M.5
Abbott, R.6
-
21
-
-
70350471314
-
Multilevel mixed linear model analysis using iterative generalized least squares
-
Goldstein, H. (1986). Multilevel mixed linear model analysis using iterative generalized least squares. Biometrika, 73, 43–56. doi:10.1093/biomet/73.1.43.
-
(1986)
Biometrika
, vol.73
, pp. 43-56
-
-
Goldstein, H.1
-
22
-
-
85018092752
-
Maximizing the yield of small samples in prevention research: A review of general strategies and best practices
-
Hopkin, C. R., Hoyle, R. H., & Gottfredson, N. C. (2013). Maximizing the yield of small samples in prevention research: A review of general strategies and best practices. Manuscript submitted for publication.
-
(2013)
Manuscript submitted for publication
-
-
Hopkin, C.R.1
Hoyle, R.H.2
Gottfredson, N.C.3
-
24
-
-
0001878352
-
Sample size, reliability, and tests of statistical mediation
-
Hoyle RH, (ed), Sage Publications, Thousand Oaks
-
Hoyle, R. H., & Kenny, D. A. (1999). Sample size, reliability, and tests of statistical mediation. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 195–222). Thousand Oaks: Sage Publications.
-
(1999)
Statistical strategies for small sample research
, pp. 195-222
-
-
Hoyle, R.H.1
Kenny, D.A.2
-
25
-
-
67650706330
-
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
-
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118.
-
(1999)
Structural Equation Modeling
, vol.6
, pp. 1-55
-
-
Hu, L.-T.1
Bentler, P.M.2
-
26
-
-
84873386790
-
A note on sample size and solution propriety for confirmatory factor analytic models
-
Jackson, D. L., Voth, J., & Frey, M. P. (2013). A note on sample size and solution propriety for confirmatory factor analytic models. Structural Equation Modeling, 20, 86–97. doi:10.1080/10705511.2013.742388.
-
(2013)
Structural Equation Modeling
, vol.20
, pp. 86-97
-
-
Jackson, D.L.1
Voth, J.2
Frey, M.P.3
-
27
-
-
0002523940
-
Statistical power in structural equation modeling
-
Hoyle RH, (ed), Sage Publications, Newbury Park
-
Kaplan, D. (1995). Statistical power in structural equation modeling. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 100–117). Newbury Park: Sage Publications.
-
(1995)
Structural equation modeling: Concepts, issues, and applications
, pp. 100-117
-
-
Kaplan, D.1
-
28
-
-
24944586514
-
The relation among fit indexes, power, and sample size in structural equation modeling
-
Kim, K. H. (2005). The relation among fit indexes, power, and sample size in structural equation modeling. Structural Equation Modeling, 12, 368–390. doi:10.1207/s15328007sem1203_2.
-
(2005)
Structural Equation Modeling
, vol.12
, pp. 368-390
-
-
Kim, K.H.1
-
29
-
-
84864690386
-
Sample size requirements in single- and multiphase growth mixture models: A Monte Carlo simulation
-
Kim, S.-Y. (2012). Sample size requirements in single- and multiphase growth mixture models: A Monte Carlo simulation. Structural Equation Modeling, 19, 457–476. doi:10.1080/10705511.2012.687672.
-
(2012)
Structural Equation Modeling
, vol.19
, pp. 457-476
-
-
Kim, S.-Y.1
-
31
-
-
84861194072
-
The effect of different forms of centering in hierarchical linear models
-
Kreft, I. G. G., de Leeuw, J., & Aiken, L. S. (1995). The effect of different forms of centering in hierarchical linear models. Multivariate Behavioral Research, 30, 1–21. doi:10.1207/s15327906mbr3001_1.
-
(1995)
Multivariate Behavioral Research
, vol.30
, pp. 1-21
-
-
Kreft, I.G.G.1
de Leeuw, J.2
Aiken, L.S.3
-
32
-
-
48449087653
-
The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies
-
PID: 18778152
-
Lüdtke, O., Marsh, H. W., Robitzsch, A., Trautwein, U., Asparouhov, T., & Muthén, B. (2008). The multilevel latent covariate model: A new, more reliable approach to group-level effects in contextual studies. Psychological Methods, 13, 203–229. doi:10.1037/a0012869.
-
(2008)
Psychological Methods
, vol.13
, pp. 203-229
-
-
Lüdtke, O.1
Marsh, H.W.2
Robitzsch, A.3
Trautwein, U.4
Asparouhov, T.5
Muthén, B.6
-
34
-
-
0013118140
-
Power analysis and determination of sample size for covariance structure modeling
-
Retrieved from
-
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. Retrieved from http://doi.apa.org/journals/met/1/2/130.pdf.
-
(1996)
Psychological Methods
, vol.1
, pp. 130-149
-
-
MacCallum, R.C.1
Browne, M.W.2
Sugawara, H.M.3
-
35
-
-
85043870731
-
On the practice of dichotomization of quantitative variables
-
PID: 11928888
-
MacCallum, R. C., Zhang, S., Preacher, K. J., & Rucker, D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19–40. doi:10.1037/1082-989X.7.1.19.
-
(2002)
Psychological Methods
, vol.7
, pp. 19-40
-
-
MacCallum, R.C.1
Zhang, S.2
Preacher, K.J.3
Rucker, D.D.4
-
36
-
-
0032221781
-
Is more ever too much? The number of indicators per factor in confirmatory factor analysis
-
Marsh, H. W., Hau, K.-T., Balla, J. R., & Grayson, D. (1998). Is more ever too much? The number of indicators per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181–220. doi:10.1207/s15327906mbr3302_1.
-
(1998)
Multivariate Behavioral Research
, vol.33
, pp. 181-220
-
-
Marsh, H.W.1
Hau, K.-T.2
Balla, J.R.3
Grayson, D.4
-
37
-
-
0042938105
-
Growth curve analysis in contemporary psychological research
-
Schinka J, Velicer W, (eds), Wiley, New York
-
McArdle, J. J., & Nesselroade, J. R. (2003). Growth curve analysis in contemporary psychological research. In J. Schinka & W. Velicer (Eds.), Comprehensive handbook of psychology: Research methods in psychology (pp. 447–480). New York: Wiley. doi:10.1002/0471264385.
-
(2003)
Comprehensive handbook of psychology: Research methods in psychology
, pp. 447-480
-
-
McArdle, J.J.1
Nesselroade, J.R.2
-
38
-
-
34249962132
-
Latent curve analysis
-
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107–122. doi:10.1007/BF02294746.
-
(1990)
Psychometrika
, vol.55
, pp. 107-122
-
-
Meredith, W.1
Tisak, J.2
-
39
-
-
33947127673
-
REML estimation for binary data in GLMMs
-
Noh, M., & Lee, Y. (2007). REML estimation for binary data in GLMMs. Journal of Multivariate Analysis, 98, 896–915. doi:10.1016/j.jmva.2006.11.009.
-
(2007)
Journal of Multivariate Analysis
, vol.98
, pp. 896-915
-
-
Noh, M.1
Lee, Y.2
-
40
-
-
0013105470
-
Reliable estimation of generalized linear mixed models using adaptive quadrature
-
Retrieved from
-
Rabe-Hesketh, S., Skrondal, A., & Pickles, A. (2002). Reliable estimation of generalized linear mixed models using adaptive quadrature. The Stata Journal, 2, 1–21. Retrieved from http://www.stata-journal.com/article.html?article=st0005.
-
(2002)
The Stata Journal
, vol.2
, pp. 1-21
-
-
Rabe-Hesketh, S.1
Skrondal, A.2
Pickles, A.3
-
41
-
-
0001408941
-
Statistical analysis and optimal design for cluster randomized trials
-
Raudenbush, S. W. (1997). Statistical analysis and optimal design for cluster randomized trials. Psychological Methods, 2, 173–185. doi:10.1037/1082-989X.2.2.173.
-
(1997)
Psychological Methods
, vol.2
, pp. 173-185
-
-
Raudenbush, S.W.1
-
43
-
-
0034202982
-
Statistical power and optimal design for multisite randomized trials
-
COI: 1:STN:280:DC%2BD3cvislWlsA%3D%3D, PID: 10937329
-
Raudenbush, S. W., & Liu, X. (2000). Statistical power and optimal design for multisite randomized trials. Psychological Methods, 5, 199–213. doi:10.1037//1082-989X.5.2.199.
-
(2000)
Psychological Methods
, vol.5
, pp. 199-213
-
-
Raudenbush, S.W.1
Liu, X.2
-
45
-
-
84912043613
-
Optimal Design Software for multi-level and longitudinal research (version 3.01) [Software]
-
Raudenbush, S. W., Spybrook, J., Congdon, R., Liu, X., & Martinez, A. (2011). Optimal Design Software for multi-level and longitudinal research (version 3.01) [Software]. Available from www.wtgrantfoundation.org.
-
(2011)
Available from
-
-
Raudenbush, S.W.1
Spybrook, J.2
Congdon, R.3
Liu, X.4
Martinez, A.5
-
48
-
-
0000120766
-
Estimating the dimension of a model
-
Retrieved from
-
Schwarz, G. E. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461–464. Retrieved from http://www.jstor.org/stable/2958889.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.E.1
-
49
-
-
84863408574
-
Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self-confidence on smoking urges: Differences between successful quitters and relapsers
-
PID: 22246429
-
Shiyko, M. P., Lanza, S. T., Tan, X., Li, R., & Shiffman, S. (2012). Using the time-varying effect model (TVEM) to examine dynamic associations between negative affect and self-confidence on smoking urges: Differences between successful quitters and relapsers. Prevention Science, 13, 288–299. doi:10.1007/s11121-011-0264-z.
-
(2012)
Prevention Science
, vol.13
, pp. 288-299
-
-
Shiyko, M.P.1
Lanza, S.T.2
Tan, X.3
Li, R.4
Shiffman, S.5
-
50
-
-
55449097536
-
The multisite violence prevention project: Impact of a universal school-based violence prevention program on social-cognitive outcomes
-
Simon, T. R., Ikeda, R. M., Smith, E. P., Reese, L. E., Rabiner, D. L., Miller-Johnson, S., et al. (2008). The multisite violence prevention project: Impact of a universal school-based violence prevention program on social-cognitive outcomes. Prevention Science, 9, 231–244. doi:10.1007/s11121-008-0101-1.
-
(2008)
Prevention Science
, vol.9
, pp. 231-244
-
-
Simon, T.R.1
Ikeda, R.M.2
Smith, E.P.3
Reese, L.E.4
Rabiner, D.L.5
Miller-Johnson, S.6
-
54
-
-
0023279681
-
How big is big enough?”: Sample size and goodness of fit in structural equation models with latent variables
-
Retrieved from
-
Tanaka, J. S. (1987). “How big is big enough?”: Sample size and goodness of fit in structural equation models with latent variables. Child Development, 58, 134–146. Retrieved from http://www.jstor.org/stable/1130296.
-
(1987)
Child Development
, vol.58
, pp. 134-146
-
-
Tanaka, J.S.1
-
55
-
-
33747037790
-
A brief guide to structural equation modeling
-
Weston, R., & Gore, P. A., Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719–751. doi:10.1177/0011000006286345.
-
(2006)
The Counseling Psychologist
, vol.34
, pp. 719-751
-
-
Weston, R.1
Gore, P.A.2
-
56
-
-
0035285442
-
The five factor model and impulsivity: Using a structural model of personality to understand impulsivity
-
Whiteside, S. P., & Lynam, D. R. (2001). The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30, 669–689. doi:10.1016/S0191-8869(00)00064-7.
-
(2001)
Personality and Individual Differences
, vol.30
, pp. 669-689
-
-
Whiteside, S.P.1
Lynam, D.R.2
|