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Context or order effects refer to biases in responses to attitude items caused by responses to previously presented items (Ajzen, 2002) For example, the presentation of an affective attitude item to which a person responds positively may affect his or her response to an instrumental attitude item presented subsequently In fact, this often occurs in attitude research in physical activity involving the administration of multi-item attitude inventories Problems associated with context and method effects can be overcome by constructing a large set of belief statements that are relevant to physical activity and then asking people to rate these statements on Likert-type scales (Ajzen, 2002) Responses to these belief statements constitute an indirect or belief-based measure because attitudes are inferred from the beliefs themselves (Fishbein & Ajzen, 1975).

Another popular conceptualization of attitudes that has been used in physical activity studies is the expectancy-value model (Fishbein & Ajzen, 1975; Pender & Pender, 1986; Riddle, 1980) This model also constitutes an indirect measure of attitudes It posits that a combination or multiplicative function of beliefs that behavior will lead to certain consequences, known as behavioral beliefs, and evaluations of these consequences, known as outcome evaluations, are indicators of attitudes Expectancy-value measure of attitudes can be formulated by asking respondents to rate available behavioral beliefs on expectancy scales (eg, Engaging in physical activities will make me fitter ) and then multiplying each of the likelihood ratings with ratings of the desirability of behavioral beliefs (eg, Getting fitter is good/ bad ) Such indirect measures of attitude are often used in social cognitive theories to validate the direct measures by correlating the composite.

8 presents self-other agreement correlations in the four dyadic samples described in our earlier discussion of social desirability; in addition, the nal column of the table shows weighted mean correlations (after r to z transformation) computed across all of the individual data sets In many respects, these data closely resemble the stability results in the previous table Once again, the most noteworthy aspect of these data is that with the single exception of Surprise all of the PANAS-X scales show substantial convergent validity, with weighted mean agreement correlations ranging from 25 (Fear) to 42 (Self-Assurance) Moreover, these correlations show clear evidence of the well-established acquaintanceship effect; that is, numerous studies have shown that self-other agreement improves with increasing levels of acquaintance (Funder, 1995; Funder & Colvin, 1988, 1997; Watson et al, 2000) In Table 14.

1.17 How many components should be extracted according to: (a) The eigenvalue criterion (b) The proportion of variance explained criterion (c) The scree plot criterion (d) The communality criterion 1.18 Based on the information from Exercise 1.17, make a decision about how many components you should extract. 1.19 Apply PCA using varimax rotation with your chosen number of components. Write up a short pro le of the rst few components extracted. 1.20 Construct a useful user-de ned composite using the predictors. Describe situations where the composite would be more appropriate or useful than the principal components, and vice versa.

Double-click the My Network Places icon on your desktop. If this icon is not available, do the following: a. Click the Start button in the lower-left corner of Windows. b. Click All Programs. c. Click Accessories. d. Click Windows Explorer. e. In the left window pane, click My Network Places (see Figure 7-12).

8, this effect can be seen in the elevated level of agreement among the married couples; indeed, the convergent correlations generally fall in the 35 to 55 range in this sample As in the stability data, we also see consistent differences across the affect scales At one extreme, Joviality and SelfAssurance (which also showed relatively high stabilities) had weighted mean agreement correlations of 41 and 42, respectively; at the other extreme, Surprise showed an average convergence of only 15 across the four samples, and even failed to display signi cant self-other agreement in the married couples These negative ndings are consistent with other data that challenge the construct validity of trait ratings of Surprise (Watson & Clark, 1994).

, 141 Ong, J M, 131, 141 Onghena, P, 372, 390 Onorato, I M, 556, 560 Ontiveros, J, 550, 564 Oparil, S, 352, 354, 355, 358 Op den Velde, W, 46 Oppedisano, G, 69 Ord-Lawson, S, 65, 72 Ordway, L, 201, 215 Orme-Johnson, D W, 596, 609 Ornish, D, 350, 351, 362, 555, 602, 605, 609, 612 Oro -Beutler, M, 295, 313 Orozco, B, 188 Orpinas, P, 165 Orr, D P, 465, 484 Orr, M D, 189 Orth-Gomer, K, 61, 63, 70, 72, 82, 95, 500, 507, 553, 554, 564, 566 Orvaschel, H, 543 Osborn, M, 176, 189 Osborne, M P, 283, 289 O Shanick, G J, 455, 463 O Shaughnessy, M V, 243 Osipow, S H, 576, 588 Osmond, C, 359 Osowiecki, D M.