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Studies in the Natural Environment Several studies have measured the covariation of asthma symptoms and/or measures of air ow with mood states, using daily or more frequent monitoring of patients with asthma Hyland and colleagues have published several case reports and multiple case series that examine the association between mood states and peak ow Among 10 adults with asthma who completed measures of mood state (positive and negative affect) and peak ow in the morning and evening, three showed signi cant correlations of mood state with PEFR over 15 days (rs 50): more positive mood states were associated with higher PEFR (Hyland, 1990) These relationships were more robust in the evening than the morning One study (Browne & Hyland, 1992) examined the association between mood states and peak ow in a single case before and during the initiation of medical treatment They reported robust correlations averaging 55 before treatment, and .

For any pair (u, v) of nodes in a tree network, there is a unique path from u to v in the tree So the RWA problem in a tree network becomes the WA problem It is NP-hard to nd the wopt for the WA problem on both undirected tree Tn [37] and directed tree Tn [20] Given a set P of paths on Tn with load L, an algorithm solves the WA problem using at most 3L/2 colors is known [37] The idea of the algorithm is to reduce the WA problem into the edge-coloring problem of a multigraph For an internal node u of Tn and the set of paths on u, a multigraph Gu can be constructed as follows: For every edge ei incident to node u there is a corresponding vertex ei in Gu .

77 during the initiation of treatment, with more positive mood states being related to higher PEFR Apter and colleagues (1997) had 21 adults with asthma rate mood states and measure PEFR for 21 days, three times a day The data were pooled across subjects and observations and revealed multiple associations between mood states and PEFR, after controlling for symptom ratings Positive mood states (pleasant, active) were concurrently associated with greater PEFR; unpleasant and passive mood states were associated with lower PEFR An examination of lagged associations showed that pleasant mood states predicted subsequent higher PEFR, but PEFR did not predict subsequent mood states In another study by this group (Af eck et al, 2000), 48 adults with moderate to severe asthma collected mood states and PEFR data thrice daily for 21 days Betweensubjects associations of PEFR and mood state revealed no statistically signi cant associations Four percent of.

examples. Here I draw primarily on examples from my own research program, in which I have used a wide variety of multivariate quantitative analyses (CFA, SEM, causal modeling, multilevel analysis, longitudinal data analysis, and multitrait-multimethod designs) to address substantive and theoretical issues from a construct validity perspective. I hope that this strategy will render CFA /SEM less esoteric and technically daunting for applied researchers, and thereby promote its application as a standard statistical methodology for tackling questions in our field. The chapter is divided into three sections. First, I describe the construct validity approach and the multidimensional perspective; these provide substantive bases for CFA /SEM studies in my quantitative research program. Second, I present a general discussion of CFA /SEM as an increasingly important research tool in sport and exercise psychology. Third, I summarize selected studies from my research program that illustrate interesting applications of CFA /SEM. CONSTRUCT VALIDATION: A MULTIPLE PERSPECTIVE APPROACH Much of the research and the methodological approaches described in this chapter are based on a construct validity approach to the design, analysis, and interpretation of the results of multivariate research. More generally, I assess the construct validity of inferences based on a research study the validity of the interpretation of the results. The evidence for construct validity includes the content, response processes by participants, internal structure in terms of consistency and factor structure, and convergent and discriminant validity in relations with other constructs, including,

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Since each path on u can be on at most two edges incident to u, for every path p on u a unique edge in Gu can be de ned To eliminate the self loops, an additional vertex fi is introduced for every ei More precisely, V (Gu ) = {ei , fi |ei is an edge incident to u} and E(Gu ) = {(ei , ej , p)|path p is on edges ei and ej } {(ei , fi , p)|path p is on edge ei only}, where (x, y, p) is an edge between x and y with label p Obviously, an edge coloring of Gu gives a valid coloring for the paths containing node u Notice that (Gu ) L.