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Learning and Individual Differences McArdle, J J, Hamagami, F, Horn, J L, & Bradway, K P (2002) A 70-year follow-up study on dynamic of growth and change in intellectual abilities Unpublished manuscript, University of Virginia McArdle, J J, & Nesselroade, J R (1994) Structuring data to study development and change In S H Cohen & H W Reese (Eds), Life-span developmental psychology: Methodological innovations (pp 223 267) Hillsdale, NJ: Erlbaum McArdle, J J, & Prescott, C A (1992) Age-based construct validation using structural equation models Experimental Aging Research, 18(3), 87 115 McArdle, J J, Prescott, C A, Hamagami, F, & Horn, J L (1998) A contemporary method for developmental-genetic analyses of age changes in intellectual abilities Developmental Neuropsychology, 14(1), 69 114 McArdle, J J, & Woodcock, J R (1997) Expanding test-rest designs to include developmental time-lag components.

Psychological Methods, 2(4), 403 435..

Private Sub Workbook_Open() If Weekday(Now) = vbFriday Then Msg = Today is Friday. Make sure that you Msg = Msg & do your weekly backup! MsgBox Msg, vbInformation End If End Sub

payments. The explosive growth of alternative payments can be attributed to consumer and regional preferences. As every sale counts in these economic times, it is now more critical than ever that e-merchants understand and offer payment choices based on consumer and regional preferences.

5 0.02 0.014 0.120 0.144 0.327 0.058 0.017 0.037

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subscriber can get in each direction (to/from home). These include the size of the spectrum (frequency band); the signal coding technique used, which determines the number of bits packed per hertz of the uplink and downlink (to home) channels; the user multiplexing method implemented at the base station; and the capabilities of the antennae. As mentioned earlier, to deliver voice over IP to residential and corporate users, the WLL-based service providers must nd cost-e ective solutions to the challenges of designing and operating super-high-frequency (i.e., gigahertz and terahertz bands) wireless networks that can o er access services to both lineof-sight and non-line-of-sight receivers. The challenges consist of ensuring (a) availability, reliability, and security of transmission, (b) proper strength of the signal even in the presence of interference, fading, failure of the electric power supply, and adverse atmospheric conditions, and (c) appropriate utilization of the frequency spectrum for optimizing cost and channel capacity constraints without a ecting the QoS [7,9]. A handful of companies, including Beamreach (www.beamreachnetworks. com, 2001) and Terabeam (www.terabeam.com, 2001), have developed elddeployable base stations, antennae, and receiver devices for WLL-based highbit-rate data services and real-time services such as video on demand, voice over IP, and so on. Some corporations and service providers are either eldtesting or have deployed these technologies in prototype networks.

These linearly independent vectors can be arranged in a matrix called the generator matrix G: G= g0 g1 . . . gk 1 = g00 g10 . . . gk 1,0 g01 g11 . . . gk 1,1 g0,n 1 g1,n 1 . . . gk 1,n 1 (18)

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from the k the coef cients of the same focus variables in the full model after the other variables (the Z 1 , Z 2 , , Z q ) have been included Therefore, we wish to test whether the coef cient differences, k = k , for k = 1, 2, , p, are k different from zero Under the assumption that the full model is k the true model that generated the data, the statistic ddk (where dk = bk bk is the sample difference in the kth coef cient and dk is the estimated standard error of the difference) is distributed asymptotically as standard normal (ie, it is a z test) under H0: k = 0 (Clogg et al, 1995) Unfortunately, the standard errors of the dk are not a standard feature of logistic regression software.

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