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Automatic and Controlled Processing The Dissociation Model As noted earlier in discussing ambivalence approaches to prejudice, some prejudice researchers (e.g., Crosby et al., 1980; Dovidio & Gaertner, 1986) have suggested that most White Americans are prejudiced toward Black people and that subtle behaviors that individuals can less readily monitor and censor (e.g., helping, nonverbal behavior, reaction times to brie y presented stimuli) are better gauges of White Americans true racial attitudes. In an in uential contribution to the prejudice literature, Devine (1989) strongly challenged and countered this view. She claimed that it implied that

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Hsiao, C (1986) Analysis of panel data Cambridge, UK: Cambridge University Press Huitema, B E (1985) Autocorrelation in applied behavior analysis: A myth Behavioral Assessment, 7, 107 118 Huitema, B E, & McKean, J W (2000) Design speci cation issues in time-series intervention models Educational and Psychological Measurement, 60, 38 58 Hunter, J E, & Schmidt, F L (1990) Methods for meta-analysis Newbury Park, CA: Sage Jarvik, M E (1973) Further observations on nicotine as the reinforcing agent in smoking In W L Dunn, Jr (Ed), Smoking behavior: Motives and incentives (pp 33 49) Washington, DC: V H Winston Jones, R H (1980) Maximum likelihood tting of ARMA models to time series missing observations Technometrics, 22, 389 396 Kashyap, R L (1977) A Bayesian comparison of different classes of dynamic models using empirical data IEEE Transactions on Automatic Control, 22, 715 727 Leventhal, H.

planning dimensions, which included clarifying roles and preparing information Members in teams that were rated as having engaged in higher quality planning processes performed better, where performance was measured as the number of errors (eg, errors in helicopter navigation) committed during the task They were also better able to anticipate other members information requirements during performance and communicated that information in advance of its being requested It is likely that planning enabled team members to develop shared knowledge relating to other members information requirements, which in turn afforded better anticipation of these requirements during performance Planning is a key component of preprocess coordination and involves deciding on, and subsequently specifying, the intended courses of team operations Plans can specify operations at different levels of organization based on the level of plan abstraction, ranging from specific to general (cf Hayes-Roth & Hayes-Roth, 1979).

, & Cleary, P D (1980) The smoking problem: A review of the research and theory in behavioral risk modi cation Psychological Bulletin, 88, 370 405 Little, R J A, & Rubin, D B (1987) Statistical analysis with missing data New York: Wiley Ljung, G M, & Box, G E P (1978) On a measure of lack of t in time series models Biometrika, 65, 297 303 McCleary, R, & Hay, R A, Jr (1980) Applied time series analysis for the social sciences Beverly Hills, CA: Sage McFall, R M (1978) Smoking cessation research Journal of Consulting and Clinical Psychology, 76, 703 712 Molenaar, P C M (1985) A dynamic factor model for the analysis of multivariate time series Psychometrika, 50, 181 202 Molenaar, P C M (1987) Dynamic factor analysis in the frequency domain: Causal modeling of multivariate psychophysiological time series.

Plans at the general end of this continuum specify macrolevel rather than microlevel operations, such as overall team plans and strategies Thus, general plans are useful in the coordination of sports that are continuous and in which the environment is dynamic, open, and difficult to predict This is because general plans help achieve a relative degree of operational structure by specifying operations, in terms of their nature and timing, only at a macrolevel while allowing flexibility and adaptation in the nature and timing of operations at a microlevel An example of such a sport is soccer, and an example of a general plan is to attack down the wings in the first half of the game.

Multivariate Behavioral Research, 22, 329 353 Molenaar, P C M, De Gooijer, J G, & Schmitz, B (1992) Dynamic factor analysis of nonstationary multivariate time series Psychometrika, 57, 333 349 Morrison, D F (1983) Applied linear statistical methods Englewood Cliffs, NJ: Prentice-Hall Nesselroade, J R, & Molenaar, P C M (1999) Pooling lagged covariance structures based on short, multivariate time series for dynamic factor analysis In R H Hoyle (Ed), Statistical strategies for small sample research (pp 223 250) Thousand Oaks, CA: Sage O Rourke, K, & Detsky, A S (1989) Meta-analysis in medical research: Strong encouragement for higher quality in individual research efforts Journal of Clinical Epidemiology, 42, 1021 1024 Parsonson, B S, & Baer, D M (1992) The visual analysis of data and current research into the stimuli controlling it In T R Kratochwill & J R Levin (Eds.

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