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Growth Models Based on Latent Difference Scores The complexities of tting and extending the previous dynamic models have limited their practical utility. In recent research we have considered some ways to retain the basic dynamic change interpretations but use conventional analytic techniques. This has led us to recast the previous growth models using latent difference scores (see McArdle, 2001). This approach is not identical to that represented by the differential equations considered earlier (e.g., Arminger, 1987; Coleman, 1968), but it offers a practical approximation that can add clear dynamic interpretations to traditional linear growth models. In the latent difference approach, we rst assume we have a pair of observed scores Y[t] and Y[t 1] measured over a de ned interval of time ( t = 1), and we write Y[t]n = y[t]n + e[t]n , Y[t 1]n = y[t 1]n + e[t 1]n (18.30)

7 Windows CE Databases Long before Microsoft commanded the world of personal computing, another large multinational corporation

We recommend using the Fedora Core distribution of Linux, which is proven to work exceedingly well with MythTV. For that reason, this book targets Fedora Core installation procedures alongside KnoppMyth as its primary focus, but that in no way limits your options when it comes to the many other Linux distributions readily available (but you won t have the benefit of the step-by-step details you ll find in this book for those two primary targets). The latest version of Fedora Core is available as a free download at http://fedora .redhat.com/Download/. Briefly summarized, KnoppMyth is the CD-based Knoppix image with MythTV pre-installed but not preconfigured (you will still need to set up backend and frontend parameters). This method trivializes the installation process and dramatically reduces your overall setup time just pop in the disk, boot it up, and MythTV will be delivered to your hard drive in a matter of minutes. You have the option of running the KnoppMyth CD as a frontend client, but KnoppMyth itself must be installed on your hard drive for backend services. For the latest in KnoppMyth releases, check out the developer Web site at http:// mysettopbox.tv/knoppmyth.html. Interested readers are also advised to browse the link to the unofficial KnoppMyth wiki located at www.knoppmythwiki.org/. We assume readers will determine an appropriate means for obtaining and installing a base Linux distribution based on the resources available. Readers who lack high-speed connections may obtain Linux through other means, such as print media, which often contains CD-ROM or DVD-ROM images for current Linux distributions.

1 Daniel Larose, Discovering Knowledge in Data: An Introduction to Data Mining, Wiley, Hoboken, NJ, 2005 2 R Bellman, Adaptive Control Processes: A Guided Tour, Princeton University Press, Princeton, NJ, 1961 3 R Kelley Pace and Ronald Berry, Sparse spatial autoregressions, Statistics and Probability Letters, Vol 33, No 3, pp 291 297 May 5, 1997 Data set available from StatLib: http://libstatcmuedu/datasets/houseszip Also available at the book series Web site 4 Richard A Johnson and Dean Wichern, Applied Multivariate Statistical Analysis, Prentice Hall, Upper Saddle River, NJ, 1998 5 Joseph Hair, Rolph Anderson, Ronald Tatham, and William Black, Multivariate Data Analysis, 4th ed, Prentice Hall, Upper Saddle River, NJ, 1995 6 Adult data set, in C L Blake and C J Merz, UCI Repository of Machine Learning Databases, http://wwwicsuciedu/ mlearn/MLRepository.

html, University of California, Department of Information and Computer Science, Irvine, CA, Adult data set compiled by Ron Kohavi Also available at the book series Web site 7 H F Kaiser, A second-generation Little Jiffy, Psychometrika, Vol 35, pp 401 15, 1970 8 H F Kaiser, Little Jiffy, Mark IV, Educational and Psychological Measurement, Vol 34, pp 111 117, 1974 9 H H Harmon, Modern Factor Analysis, 2nd ed, University of Chicago Press, Chicago 10 J P Robinson, P R Shaver, and L S Wrightsman, Criteria for scale selection and evaluation, in J P Robinson, P R Shaver, and L S Wrightsman, eds Measures of Personality and Social Psychological Attitudes, Academic Press, San Diego, CA, 1991 11 Diane Hope, Corinna Gries, Weixung Zhu, William F Fagan, Charles L Redman, Nancy B Grimm, Amy L.

The month calendar control provides a quick way to include full-featured calendar functionality in your applications. It can display dates over any specified range of dates, and automatically accounts for the day of week variations for dates in different years, as well as for leap years. An example of the month calendar control is shown in Figure 5.1