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Thompson, L., & Walker, A. J. (1989). Gender in families: Women and men in marriage, work, and parenthood. Journal of Marriage and the Family, 51, 845 871. Toner, B. B. (1994). Cognitive-behavioral treatment of functional somatic syndromes: Integrating gender issues. Cognitive and Behavioral Practice, 1, 157 178. Ursin, G., Spicer, D. V., & Bernstein, L. (2000). Breast cancer epidemiology, treatment, and prevention. In M. B. Goldman & M. C. Hatch (Eds.), Women and health (pp. 871 883). San Diego, CA: Academic Press. U.S. Bureau of the Census. (1995). Income, poverty and valuation of noncash bene ts: 1993. Current population reports (Series P-60, 198). Washington, DC: U.S. Government Printing Of ce. U.S. Bureau of the Census. (1997). Poverty in the United States: 1996. Current population reports (Series P-60, 198). Washington, DC: U.S. Government Printing Of ce. U.S. Bureau of the Census. (1999). United States population estimates, by age, sex, race, and Hispanic origin, 1990 to 1997. Available from www.census.gov/population/estimates/nation U.S. Bureau of Labor Statistics. (1991, January). Employment and earnings. Washington, DC: U.S. Government Printing Of ce. U.S. Bureau of Labor Statistics. (1997a). Employment and earnings. Washington, DC: U.S Government Printing Of ce. U.S. Bureau of Labor Statistics. (1997b). Employment characteristics of families: 1996. Washington, DC: U.S. Government Printing Of ce. U.S. Bureau of Labor Statistics. (1998). Occupational injuries and illnesses: Counts, rates, and characteristics, 1995 [Bulletin 2493]. Washington, DC: U.S. Government Printing Of ce. Ventura, S. J., Peters, K. D., Martin, J. A., & Maurer, J. D. (1997). Births and deaths: United States, 1996. Monthly Vital Statistics Report, 46(1), 1 40. Waldron, I., & Jacobs, J. A. (1989). Effects of multiple roles on women s health: Evidence from a national longitudinal study. Women and Health, 15, 3 19.

Reagents and Materials Non-sterile Fixative (See Section 2.7) PBS Agar, 2% Isopropanol in graded concentrations Paraf n-isopropanol 1:1 Melted paraf n wax Embedding oven Microtome Stains: hematoxylin and eosin (H&E), Masson Goldner trichrome, or Sirius red Protocol (a) For paraf n embedding x (See Section 2.7) EHTs overnight at 4 C. (b) Wash and soak overnight in PBS. (c) Embed EHTs in 2% agar blocks. (d) Dehydrate in graded concentrations of isopropanol, paraf n-isopropanol, and embed in paraf n according to standard procedures. (e) Stain horizontal and cross sections (4 m) of EHTs with hematoxylin and eosin (H&E), Masson Goldner trichrome, or Sirius red to evaluate cell-matrix composition of EHTs.

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and the other loading ( x = 84) was estimated and required to be invariant over all times of measurement The results quickly showed a single common factor model does not produce a good t ( 2 = 473, df = 34) even though most of the parameter estimates seem reasonable ( x = 139; f = 06; s f = 53) In subsequent analyses, the items in each scale (SB & WAIS) were separated on a theoretical basis some were considered as verbal items, and these were separated from the items that were considered as nonverbal items in each scale (memory and number items were separated; see Hamagami, 1998; McArdle et al, 2002) The single-factor model was re tted to each new scale, and these models t much better than before ( 2 = 63, df = 32).

At least two separate constructs were needed to re ect the timesequence information in the interbattery data Next we followed the early work of Bayley (1956; see Figure 184), and we created longitudinal scores with equal intervals by using some new forms of item response theory (IRT) and latent trait models (Embretson, 1996; Fisher, 1995; McDonald, 1999) From these analyses, we formed a scoring system or translation table for each construct from the SB and WAIS measures by using IRT calibration (using the MSTEPS program) based on the data from the testing at age 30, in which both the SB & WAIS were administered These analyses resulted in new and (we hope) age-comparable scales for the verbal and nonverbal items from all occasions (as displayed in Table 181 and Figure 186).

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Several alternative verbal-nonverbal bivariate coupling models were tted to the data (for details, see McArdle, Hamagami, et al, in press) A rst model included all the bivariate change parameters described previously (Equation 1844) This includes six dynamic coef cients (two each for , , ), four latent means ( ), six latent deviations ( ), and six latent correlations ( ) This model was tted with N = 111 individuals with at least one point of data and 498 individual data observations, and it yields an overall t (L = 7118) that was different from that of a random baseline ( 2 = 379 on df = 16) The group {and individual} trajectories of the best- tting model can be written for the verbal (V[t]) and nonverbal (N[t]) scores in the following way V [t]n = 154 { 13} +.

which is within one bit of the length of the two-stage description above. Thus, we have a similar bound on the codeword length l(x1 , x2 , . . . , xn ) H k n + 1 1 k (n k) log n log 2 2 n n + 2 (13.40)

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THREADID 10187696869432e6 STARRED Not Starred SENDER Ben, me (3) LABEL No Label SUBJECT This is the third message DATE: Jan 18

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