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The strongest of these methods for causal analysis ask not about effects for a single case such as Bob, but about average effects combining over some population or subgroup of individuals (Little & Rubin, 2000; Rubin, 1974) Fortunately, this focus on average effects generally matches the emphasis of policy and program evaluation, in that one cannot usually tailor policies and programs to each individual but must instead offer interventions intended for broader groups Underlying Generative Mechanisms, or Mediators Although the counterfactualist conception of cause has several advantages, including a useful and meaningful de nition of cause and effect, it also has important limits One shortcoming of the standard counterfactualist position is that it does not place suf cient emphasis on addressing why the effects have occurred, that is, on the mechanisms through which a cause in uences an effect Working from the counterfactualist.

, & Greenough, W T (2002) Exercise, experience and the aging brain Neurobiology of Aging, 23, 941 955 Cohen, J (1992) A power primer Psychological Bulletin, 112, 155 159 Colcombe, S, & Kramer, A F (2003) Fitness effects on cognitive function of older adults: A meta-analytic study Psychological Science, 14, 125 130 Corbin, C, & Pangrazi, B (Eds) (1996, July) What you need to know about the Surgeon General s Report on Physical Activity and Health Physical Activity and Fitness Research Digest, 2(6), pp 1 8 Cotman, C W, & Berchtold, N C (1998) Plasticity and growth factors in injury response Mental Retardation and Developmental Disabilities Research Reviews, 4, 223 230 Cotman, C W, & Engesser-Cesar, C (2002) Exercise enhances and protects brain function Exercise and Sport Science Reviews, 30, 75 79..

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ActionScript does not support browser-specific objects such as Document, Window, and Anchor. ActionScript does not completely support all of the JavaScript built-in objects. ActionScript supports syntax constructs that are not permitted in JavaScript (for example, the

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action are concordant when both tap similar capabilities within the domain of interest (e.g., when collective efficacy judgments are based on summative team capabilities, and team performance indicators are indicative of overall team performance). Achieving an acceptable level of con-

Figure 24.1 A framework for classifying theories of physical activity. Adapted from S. J. H. Biddle and C. R. Nigg, 2000, Theories of Exercise Behavior, International Journal of Sport Psychology, 31, pp. 290 304. Adapted with permission.

measurement. As in classical regression analyses, the validity of the interpretations is are limited by the most basic model assumptions for example, linearity, additivity, independence of residuals, independence of other effects, no interactions, and so on. In order to clarify growth models, we can use a path diagram such as the one displayed as Figure 18.7. These kinds of diagrams were originally only used with regression models, but more recently have been used in the context of growth and change (e.g., see McArdle, 1986; McArdle & Aber, 1990; Wright, 1934). In this representation the observed variables are drawn as squares, the unobserved variables are drawn as circles, and the implied unit constant (i.e., scores of 1 before the intercept parameter in Equation 18.1) is included as a triangle. Model parameters representing xed or group coef cients are drawn as one-headed arrows, while random or individual features are drawn as two-headed arrows. The observed variables (Y[t]) are seen to be produced by latent intercepts ( y0 ) with unit weights, by the latent slopes ( ys ) with weights (A[t] = [ [1], [2], . . . [T]]), and by an individual error term (e[t]). Following Equations 18.2 and 18.3, the initial level and slopes are often assumed to be random variables with xed means ( 0 , s ) but random variances ( 2 , 2 ) and covaris 0 ances ( 0,s ). The standard deviations ( 0 , s ) are sometimes drawn in the picture to permit the direct representation of the covariances as scaled correlations ( 0,s ). The error terms are assumed to be distributed with a mean of zero, a single variance ( 2 ), and no correlation with any of the other latent e

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