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Places the changing expectations and experiences of student life in a 1939 Abilene, Kansas, high school within the context of general institutional changes occurring at high schools. Maintains that schools reproduced the existing social structure through a variety of mechanisms. Notes the differences of expectations between male and female students. (MJP)

An exemplary combination of solid primary source-work, elegant readability, and theoretical creativity, William Tuttle's Daddy's Gone to War will be of particular interest to historians of childhood and the life [...]

We discover and document errors in public-use microdata samples (“PUMS files”) of the 2000 Census, the 2003–2006 American Community Survey, and the 2004–2009 Current Population Survey. For women and men age 65 and older, age- and sex-specific population estimates generated from the PUMS files differ by as much as 15 percent from counts in published data tables. Moreover, an analysis of labor-force participation and marriage rates suggests the PUMS samples are not representative of the population at individual ages for those age 65 and over. PUMS files substantially underestimate labor-force participation of those near retirement age and overestimate labor-force participation rates of those at older ages. These problems were an unintentional byproduct of the misapplication of a newer generation of disclosure-avoidance procedures carried out on the data. The resulting errors in the public-use data could significantly impact studies of people age 65 and older, particularly analyses of variables that are expected to change by age. [ABSTRACT FROM PUBLISHER]

This article describes the linkage methods that will be used in the Decennial Census Digitization and Linkage project (DCDL), which is completing the final four decades of a longitudinal census infrastructure covering the past 170 years of United States history. DCDL is digitizing and creating linkages between nearly a billion records across the 1960 through 1990 U.S. censuses, as well as to already-linked records from the censuses of 1940, 2000, 2010, and 2020. Our main goals in this article are to (1) describe the development of the DCDL and the protocol we will follow to build the linkages between the census files, (2) outline the techniques we will use to evaluate the quality of the links, and (3) show how the assignment and evaluation of these linkages leverages the joint use of routinely collected administrative data and non-routine survey data., Competing Interests: Conflict of interest: The authors have no conflicts of interest. Any views expressed are those of the authors and not necessarily those of the U.S. Census Bureau.