Our children deserve the best : a guide to networking in mental health and human services for children and adolescents /

"June, 1987."

Medicaid : improvements needed in programs to prevent abuse : report the the Secretary of Health and Human Services /

"B-228646"--P. [1].

Occupational safety & health : assuring accuracy in employer injury and illness records : report to the chairman, Subcommittee on Labor, Health and Human Services, and Education, Committee on Appropriations, U.S. Senate /

"B-232872"--P. 1.

Budget issues : effects of the fiscal year 1990 sequester on the Department of Health and Human Services : fact sheet for the Chairman, Committee on Budget, House of Representatives /

"B-240472"--p.1.

Multiple employment training programs : overlap among programs raises questions about efficiency : report to the Chairman, Subcommittee on Labor, Health and Human Services and Education, Committee on Appropriations, U.S. Senate /

"B-257662"--P. 1.

State nondiscrimination enforcement efforts in Nebraska : a review of implementation of Public Law 97-35 obligations in Health and Human Services Programs /

Includes bibliographical references.

The annual report to the State Board of Health and Social Services.

WI docs no.: CHI 2.1:1968-1974

Report on the Department of Health and Human Services--Public Health Service, Health Care Financing Administration /

Also known as: The Grace report.

Interim report of the South Carolina State Health and Human Services Finance Commission

This report summarizes the Commission's activities through June 30, 1984.

Annual report of the State Health and Human Services Finance Commission ... 1984-1985

This report summarizes the Commission's activities during the fiscal year which ended on June 30, 1985.

Polytomous item response theory models

Polytomous Item Response Theory Models provides a unified, comprehensive introduction to the range of polytomous models available within item response theory (IRT). It begins by outlining the primary structural distinction between the two major types of polytomous IRT models. This focuses on the two types of response probability that are unique to polytomous models and their associated response functions, which are modeled differently by the different types of IRT model. It describes, both conceptually and mathematically, the major specific polytomous models, including the Nominal Response Model, the Partial Credit Model, the Rating Scale model, and the Graded Response Model. Important variations, such as the Generalized Partial Credit Model are also described as are less common variations, such as the Rating Scale version of the Graded Response Model. Relationships among the models are also investigated and the operation of measurement information is described for each major model. Practical examples of major models using real data are provided, as is a chapter on choosing an appropriate model. Figures are used throughout to illustrate important elements as they are described.

Constructing internationally comparable real income aggregates by combining sparse benchmark data with annual national accounts data: A state-space approach

The importance of availability of comparable real income aggregates and their components to applied economic research is highlighted by the popularity of the Penn World Tables. Any methodology designed to achieve such a task requires the combination of data from several sources. The first is purchasing power parities (PPP) data available from the International Comparisons Project roughly every five years since the 1970s. The second is national level data on a range of variables that explain the behaviour of the ratio of PPP to market exchange rates. The final source of data is the national accounts publications of different countries which include estimates of gross domestic product and various price deflators. In this paper we present a method to construct a consistent panel of comparable real incomes by specifying the problem in state-space form. We present our completed work as well as briefly indicate our work in progress.