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Multilevel statistical models (2nd ed) New York: Oxford University Press Hamagami, F (1998) A developmental-based item factor analysis In J J McArdle & R W Woodcock (Eds), Human abilities in theory and practice (pp 231 246) Mahwah, NJ: Erlbaum Hamagami, F, & McArdle, J J (2000) Advanced studies of individual differences linear dynamic models for longitudinal data analysis In G Marcoulides & R Schumacker (Eds), Advanced structural equation modeling: Issues and techniques (pp 203 246) Mahwah, NJ: Erlbaum Harris, C W (Ed) (1963) Problems in measuring change Madison: University of Wisconsin Press Hauspie, R C, Lindgren, G W, Tanner, J M, & ChrzastekSpruch, H (1991) Modeling individual and average growth data from childhood to adulthood In D Magnusson, L R Bergman, G Rudinger, & B T restad (Eds), Problems and methods in longitudinal research: Stability and change.

Mojtabai, R., 558 Molenaar, I., 439, 470, 476 Molenaar, I. W., 681 Molenaar, P. C. M., 599, 629 Molenberghs, G., 95, 453, 471, 476 Moller, H., 299 Monahan, J., 192, 196, 197, 198, 199, 201, 202, 204 Monahan, J. L., 303 Monchi, O., 310 Monfort, A., 585 Monks, A. P., 182 Monroe, S. M., 561 Mooijart, A., 629 Moore, L., 203 Moray, N., 300, 301 Morey, L. C., 180, 380, 381, 382, 386, 393, 394, 397 Morgan, S. L., 130, 133, 333 Morganstern, H., 559 Morgenthaler, S., 34 Moring, J., 196 Morley, L., 562 Morrell, M. J., 300 Morrell, W., 555 Morris, G. L., 300 Morris, J. D., 256 Morris, J. S., 310 Morris, R. G. M., 273 Morrison, D. F., 591 Morse, B. J., 525 Moscovitch, M., 291 Moss, H. E., 293 Mossholder, K. W., 358 Mossman, D., 198 Mosteller, F., 34, 42, 50, 52, 281, 551, 628, 648 Mountz, J. M., 309 Moussa, M. A. A., 564 Moustaki, I., 679 Mowbray, C. T., 329 Muchinsky, P. M., 548 Mueller, T. I., 560 Mueller, W. M., 300 Muenchow, S., 323, 339, 344 Mukherjee, B. N., 413 Mull, B., 298 Mullooly, J. P., 246 Mulloy, J. M., 401 Mulvey, E. P., 196, 197, 198, 199, 201, 202 Mulvihill, J. J., 487 Munn, N. L., 273 Munsterberg, H., 189 Munz, D. C., 358 Munzel, U., 74 Muraki, E., 440 Murdoch, L. L., 195, 196, 197, 198, 199, 200, 202 Murnane, R. J., 569 Murphy, G. E., 564 Murphy, L. L., 430 Murphy, M., 562 Murphy, S. T., 303 Murray, D. M., 250 Murray, H. A., 383 Murray, J., 452 Murro, A. M., 300 Murtagh, F., 165 Musselman, D. L., 259

Cambridge, UK: Cambridge University Press Hedecker, D, & Gibbons, R (1996) MIXOR: A computer program for mixed-effects ordinal regression analysis Computer Methods and Programs in Biomedicine, 49, 157 176 Hedecker, D, & Gibbons, R (1997) Application of random-effects pattern-mixture models for missing data in longitudinal studies Psychological Methods, 2, 64 78 Horn, J L (1972) The state, trait, and change dimensions of intelligence British Journal of Educational Psychology, 2, 159 185 Horn, J L, & McArdle, J J (1980) Perspectives on Mathematical and Statistical Model Building (MASMOB) in research on aging In L Poon (Ed), Aging in the 1980s: Psychological issues (pp 503 541) Washington, DC: American Psychological Association Horn, J L, & McArdle, J J (1992) A practical guide to measurement invariance in research on aging Experimental Aging Research, 18(3), 117 144..

In this section we consider molecular motion from the surrounding gas to an isolated particle. The concentration of these molecules in the gas a long way from the particle is regarded as given, and any direct effect of other aerosol particles is ignored. This is an excellent approximation as long as the aerosol is dilute, as is the case for practically all environmental aerosols.

service:bankingdemo:iiop service:bankingdemo:rmi banking is the abstract-type name and bankingdemo:iiop and banking demo:rmi are concrete-type names demo (stands for demonstration) is the naming authority A UA could issue a request for the abstract type of service banking and would receive replies with the aforementioned two names Both services perform the same function but through different protocols, ie either Internet Inter-ORB Protocol (IIOP) or Remote Method Invocation (RMI) It is also possible to request by full name, both abstract type and concrete type Organization of services in a two-level hierarchy is interesting because it makes possible the grouping of services that are of the same kind, but accessible through different protocols If this flexibility is not required, a flat organization is possible as well In that case, types of services are said to be simple.