rdlc data matrix

rdlc data matrix

rdlc data matrix

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Lamb, M. E., & Sutton-Smith, B. (Eds.). (1982). Sibling relationships: Their nature and significance across the lifespan. Hillsdale, NJ: Erlbaum. Landers, D. (1970). Sibling-sex-status and ordinal position effects on females sport participation and interests. Journal of Social Psychology, 80, 247 248. Leaper, C. (2000). Gender, affiliation, assertion, and the interactive context of parent-child play. Developmental Psychology, 36, 281 393. Leaper, C., Anderson, K. J., & Sanders, P. (1998). Moderators of gender effects on parents talk to their children: A metaanalysis. Developmental Psychology, 34, 3 27. Leff, S., & Hoyle, R. H. (1995). Young athletes perceptions of parental support and pressure. Journal of Youth and Adolescence, 24, 187 203. Levy, D. M. (1937). Studies in sibling rivalry. American Journal of Orthopsychiatry: Research Monograph, 2. Liben, L. S., & Bigler, R. S. (2002). The developmental course of gender differentiation. Monographs of the Societ y for Research in Child Development, 67(2, Serial No. 269), 1 145. Longstreth, L. E. (1970). Birth order and avoidance of dangerous activities. Developmental Psychology, 2, 154. Lytton, H., & Romney, D. M. (1991). Parents differential socialization of boys and girls: A meta-analysis. Psychological Bulletin, 109, 267 296. Martin, K., & Hall, C. R. (1997). Situational and intrapersonal moderators of sport competitive state anxiety. Journal of Sport Behavior, 20, 435 446. McHale, S. M., Crouter, A. C., & Tucker, C. J. (1999). Family context and gender role socialization in middle childhood: Comparing girls to boys and sisters to brothers. Child Development, 70, 990 1004. McHale, S. M., Shanahan, L., Updegraff, K. A., Crouter, A. C., & Booth, A. (2004). Developmental and individual differences in

The image shown in Figure 13.1 can be found on this book s Web site as Figure 13-1.psd. You can open it in Photoshop and try adjusting the brightness and contrast. n

What Are Some of the Ethical Problems with Treatment Outcome Research 97 How and When Is Treatment Outcome Measured 98 Statistical versus Clinical Significance 99 How Can Treatment Outcome Decisions Be Made When Studies Reach Different Conclusions 100 What Is a Program of Research and How Is It Conducted 101

psychological functioning can be viewed as encompassing the gamut of component psychological processes as they impact one s ability to cope with life s pleasures and demands and uniquely combine to define personality.

Designers are fond of using bitmaps in their work. Bitmaps liven up your design, but you must use them judiciously to avoid bloating the file size of the published movie. If you create a document with bitmaps and decide a bitmap in your production isn t quite right, you can easily swap it for another bitmap in the document Library. The ability to swap bitmaps is new to Flash MX.

This chapter provided an introduction to PowerPoint. You learned about PowerPoint 2010 s new features and how to control the view of the PowerPoint window. In the next chapter, you ll learn about creating a presentation.

Figure 8.9 Three-dimensional depiction of a cusp catastrophe. Variables x and z are predictors, and y is the system s behavior, the dependent variable. The catastrophe shows sensitive dependence on initial conditions. Where z is low, points 1 and 2 are nearly the same on x. If these points are projected forward on the surface (with increases in z), they move in parallel until the cusp begins to emerge. The lines are then separated by the formation of the cusp and project to completely different regions of the surface. Source: From C. S. Carver and M. F. Scheier, On the Self-Regulation of Behavior, copyright 1998, Cambridge University Press. Reprinted with permission.

We may now compute the simple regressions of intention on bene ts at different levels of risk. By convention (Aiken & West, 1991), we explore how bene ts impacts intention one standard deviation above and one standard deviation below the mean of centered risk, which we term RISKCHIGH and RISKCLOW, or in general ZHIGH and ZLOW, respectively. The standard deviation of RISKC = .7501. We substitute this value of RISKCHIGH = .7501 into Equation 19.29 and nd Y = [.334 + .175(.7501)] BENEFITC + [.170(.7501) + 3.569] Y = .466 BENEFITC + 3.696, one standard deviation above the mean of risk.

FI GURE 16-10