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Satorra, A (1992) Asymptotic robust inferences in the analysis of mean and covariance structures Sociological Methodology, 22, 249 278 Satorra, A (2000) Scaled and adjusted restricted tests in multisample analysis of moment structures In D D H Heijmans, D S G Pollock, & A Satorra (Eds), Innovations in multivariate statistical analysis: A Festschrift for Heinz Neudecker (pp 233 247) Dordrecht, The Netherlands: Kluwer Academic Satorra, A, & Bentler, P M (1988) Scaling corrections for chisquare statistics in covariance structure analysis Proceedings of the American Statistical Association, 36, 308 313 Satorra, A, & Bentler, P M (1994) Corrections to test statistics and standard errors in covariance structure analysis In A von Eye & C C Clogg (Eds), Latent variables analysis: Applications for developmental research (pp 399 419) Thousand Oaks, CA: Sage Satorra, A, & Bentler, P M (in press).

A scaled difference chi-square test statistic for moment structure analysis Psychometrika Schafer, J L (1997) Analysis of incomplete multivariate data London: Chapman & Hall Scheines, R, Hoijtink, H, & Boomsma, A (1999) Bayesian estimation and testing of structural equation models Psychometrika, 64, 37 52 Schumacker, R E, & Marcoulides, G A (Eds) (1998) Interaction and nonlinear effects in structural equation modeling Mahwah, NJ: Erlbaum Shapiro, A, & Browne, M W (1987) Analysis of covariance structures under elliptical distributions Journal of the American Statistical Association, 82, 1092 1097 Snijders, T A B, & Bosker, R J (1999) Multilevel Analysis: An introduction to basic and advanced multilevel modeling London: Sage Sobel, M E (1987) Direct and indirect effects in linear structural equation models Sociological Methods & Research, 16, 155 176 S rbom, D (1974).

A general method for studying differences in factor means and factor structures between groups British Journal of Mathematical and Statistical Psychology, 27, 229 239 Steiger, J H (2001) Driving fast in reverse: The relationship between software development, theory, and education in structural equation modeling (review of 3 texts) Journal of the American Statistical Association, 96, 331 338 Steiger, J H, & Lind, J (1980, May) Statistically based tests for the number of common factors Paper presented at the meeting of the Psychometric Society, Iowa City, IA Strenio, J L F, Weisberg, H I, & Bryk, A S (1983) Empirical Bayes estimation of individual growth curve parameters and their relationship to covariates Biometrics, 39, 71 86 Tang, M-L, & Bentler, P M (1998) Theory and method for constrained estimation in structural equation models with incomplete data Computational Statistics & Data Analysis, 27, 257 270..

and all covariances ( y[i],x[ j] ) are allowed among the common latent variables. A path diagram of this bivariate growth model is presented in Figure 18.15. This set of structural equations has been used to examine a variety of substantive hypotheses. One hypothesis relies on the equality of the basis coef cients (e.g., Ay[t] = Ax[t]) to

y[t]n (

Protect xyzzy , True, False In this case, the workbook is protected with a password (argument 1) Its structure is protected (argument 2), but not its windows (argument 3) If you don t want to assign a password, you can use a statement like this: Workbooks( MyBookxls )Protect , True, False Notice that the first argument is omitted, and that I specified the placeholder using a comma Another approach, which makes your code more readable, is to use named arguments Here s an example of how you use named arguments for the preceding example: Workbooks( MyBookxls )Protect Structure:=True, Windows:=False Using named arguments is a good idea, especially for methods that have lots of optional arguments, and also when you need to use only a few of them When you use named arguments, there is no need to use a placeholder for missing arguments.

PURPOSE INHERITED VALUES Specifies that an object should be hidden in such a way that neither its space nor its content displays. No none, block, inline, list-item, marker, run-in,compact, table, inline-table, table-row-group, table-header-group, table-footer-group, table-row, table-column-group inline

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For properties that use arguments, you must place the arguments in parentheses For example, the Address property of a Range object takes five arguments, all of which are optional The following statement is not valid because the parentheses are omitted: MsgBox Range( A1 )Address False invalid.

Our interest here, of course, is the nominal 4-kHz voice channel sampled 8000 times a second. By simple division, a sample is taken every 125 msec, or 1-second/ 8000.

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