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In many respects, the contact task in longitudinal surveys is little different from that in cross-sectional surveys and, as discussed in Groves and Couper (1998, chapter 4), will be affected by such factors as the accessibility of the dwelling (in the case of face-to-face interviews), the use of answering machines (in the case of telephone surveys) and the availability of the sample member. Survey design features that can influence the rate of successful contact include the number of calls attempted, the timing of those calls (over the day, week or year) and the duration of the fieldwork period. Cross-sectional surveys, however, are often not well placed to assess how important some of these influences are because of both lack of information about nonrespondents, though this problem can be overcome if survey samples can be matched to some external data source such as Census records (e.g. Foster, 1998; Groves and Couper, 1998), and the potential endogeneity of some design features (e.g. number of calls made). In contrast, longitudinal surveys typically contain a lot of information about nonrespondents after the initial wave, and the panel nature of the data permits stronger inferences about causality. Nevertheless, empirical studies that both employ longitudinal data and distinguish the contact stage from the cooperation stage remain relatively scarce. The major studies that we have identified are: Gray et al. (1996), who analysed response to the two waves of a health and lifestyle survey conducted in Britain in 1984 1985 and 1991 1992; Thomas et al. (2001), who reported on attrition in the four-year follow-up to the 1993 Indonesian Family Life Survey; Lepkowski and Couper (2002), who examined response in two separate two-wave longitudinal surveys conducted in the USA; Nicoletti and Buck

(4.5)

All edges of the diffracting structures were parallel to the x-axis to avoid canceling the y-polarized electric eld A 1-D FZP is the same as the FZP discussed in Section 1510 with the x-variable dropped The mode m is de ned as the number of even or odd zones which are opaque An example with three opaque zones (m 3) is shown in Figure 204 Using XFDTD, a 1-D FZP with a thickness of 0:1l and focal length 3l was simulated Its output was analyzed for the rst three modes The intensity along the z-axis passing through the center of the FZP is plotted as a function of distance from the FZP in Figure 205 The plot shows that the intensity peaks near 3l behind the plate, and gets higher and narrower as the mode increases.

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BHPS, the same data used by Laurie et al (1999), distinguished between regions with and without interviewer attrition and reported that nonrandom interviewer attrition explained all of the interviewer continuity effect reported by Laurie et al (1999) In contrast, Nicoletti and Buck (2004), also using BHPS data (as well as data from the GSOEP), reported that interviewer continuity remained an important and valid predictor of response even after controlling for the presence of a random component linked to interviewers Very differently, Olsen (2005) dealt with the endogeneity issue by including, in his analysis of response to the NLSY, two variables that measured the ability of the fieldwork company to exploit interviewer continuity in the current round, and not whether interviewer continuity actually held.

The peak also gets closer to the desired focal length of 3l for higher modes The plot of the intensity along the y-axis at the focal line is shown in Figure 206 The plot shows that the spot size decreases with increasing mode and side lobe intensity is reduced for higher modes These experiments show that the FDTD method provides considerable freedom in generating the desired geometry and specifying material parameters It is especially useful when the scalar diffraction theory cannot be used with suf cient accuracy due to reasons such as dif cult geometries and/or diffracting apertures considerably smaller than the wavelength..

public class SkiReport extends HttpServlet { /** * Build the table of ski hill reports. */ protected void doGet( HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException { List reports = getReports(); HttpSession session = req.getSession(); session.setAttribute( ski_reports , reports); session .getServletContext() .getRequestDispatcher( /chap08/SkiReport.jsp ) .forward(req, resp); } /** * Get the list of reports. In a real-world application you d * go get the information from a Web Service offered by the * ski hills. */ public List getReports() { List reports = new ArrayList(); reports.add(new Report( Breckenridge , 4\ 3 , 9\ 2 )); reports.add(new Report( Copper Mountain , 3\ 9 , 8\ 1 )); reports.add(new Report( Vail , 7\ 9 , 12\ 2 ));

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