An evaluation of population projections by age

A number of studies have evaluated the accuracy of projections of the size of the total population, but few have considered the accuracy of projections by age group. For many purposes, however, the relevant variable is the population of a particular age group, rather than the population as a whole. We investigated the precision and bias of a variety of age-group projections at the national and state levels in the United States and for counties in Florida. We also compared the accuracy of state and county projections that were derived from full-blown applications of the cohort-component method with the accuracy of projections that were derived from a simpler, less data-intensive version of the method. We found that age-group error patterns are different for national projections than for subnational projections; that errors are substantially larger for some age groups than for others; that differences in errors among age groups decline as the projection horizon becomes longer; and that differences in methodological complexity have no consistent impact on the precision and bias of age-group projections.     

Best practice in couple relationship education

Relationship education is widely available to couples and is intended to reduce the prevalence of relationship distress, divorce, and the associated personal and social costs. To realize the potential benefits of couple relationship education, it needs to be evidence-based, offered in ways that attract couples at high-risk for relationship problems, and focused on factors that put couples at high-risk for future relationship problems.     

A CRITIQUE OF METHODOLOGICAL REASON

In this essay, we argue that, following their perception of practices in the natural sciences the social sciences have reified methodology, making it the chief imperative of social investigation and using it to ground their knowledge claims. We find this to be the case even in the work of social scientists who try to overcome or reject the dominant positivist paradigm. We argue that this obsession with method has led the social sciences to abandon thinking-beyond-the-given in favor of small, specialized studies whose justification is no longer substantive but methodology driven. After a review of the history of the role of method in traditional philosophies of science, the essay turns to the work of recent critics of social science who have become increasingly dissatisfied with modeling the social sciences after the natural ones. We distinguish between a hermeneutic and phenomenological critique of positivism, both of which, we argue, end up reproducing the scientism they reject. We identify this problem in our careful readings of some of the most influential critics of Popperian scientific philosophy. In the final section, we distinguish between contemporary social science, situated in what we term the epistemological paradigm, and our own critical science, stemming from an alternate, ontohistorical tradition in the history of ideas. Here, we begin to lay out what a critical, nonmethodology-driven, reflective and historical science might look like.     

CMHS/CSAT Collaborative Demonstration Program for Homeless Individuals

The Collaborative Demonstration Program for Homeless Individuals is providing an opportunity for several community agencies in the United States to explore innovative intervention and treatment strategies to address the needs of homeless people with co-occurring (mental illness and substance abuse) disorders. This cooperative agreement, funded jointly by the Center for Mental Health Services (CMHS) and the Center for Substance Abuse Treatment (CSAT), is a $3 million project supporting programs in various community agencies to develop, document, and evaluate programs for persons who are homeless with co-occurring disorders to be used as models in other communities. The program models include: Assertive Community Treatment, Psychosocial Rehabilitation, Therapeutic Community, and an integrated treatment model. The first phase of the two-phase project funded 16 programs in the U.S. to develop manuals within their primary treatment modalities for homeless people with co-occurring disorders. For Phase II of the project, six of the 16 model programs were competitively selected to demonstrate program impact through formal program evaluation efforts. The data derived from the various projects will be compiled into a compendium of information for state agencies and community service providers throughout the U.S.     

IMPLICATION ANALYSIS: A PRAGMATIC PROPOSAL FOR LINKING THEORY AND DATA IN THE SOCIAL SCIENCES

Sociology and other social sciences struggle to emulate a model of scientific evidence that is often inappropriate. Not only do social researchers encounter special limits, but they are also handicapped by a distorted and idealized picture of practices in the "hard sciences." Ironically, while often obliged to use data of lower quality, sociology employs standards for evaluating a theory that are not attained in the hard sciences. After a brief review of these obstacles, we describe a set of procedures for using empirical data to rigorously evaluate theories and hypotheses without resorting to the mimicking of hard science. The interaction between theory and evidence normally involves deriving implications from the theory (usually referred to as hypotheses) and then ascertaining how closely the empirical evidence meets these implications. The appropriateness of the implications is a key factor in the entire operation, linking as they do the data and the theory. The evaluation of a theory is no better than the theory's implications (as generated by the investigator) coupled with the quality and appropriateness of the evidence. It is our impression, however, that because this step is insufficiently addressed, there are unnecessary problems in the evaluation of theories. We use the term "Implication Analysis" to describe our efforts to review and improve current procedures.     

Population Projections by Age for Florida and its Counties: Assessing Accuracy and the Impact of Adjustments

Projections of total population have been evaluated extensively, but few studies have investigated the performance of projections by age. Of those that did, most focused on projections for countries or other large areas. In this article, we evaluate projections by age for Florida and its counties, as produced and published between 1996 and 2010 by the Bureau of Economic and Business Research at the University of Florida. We first compare the precision and bias of projections of total population with the precision and bias of projections by age, at both the state and county levels. This is followed by a more detailed examination of county-level projection errors for individual age groups, first in the aggregate and then disaggregated by sex and population size. The second part of the analysis focuses on a number of adjustments that were implemented in projections published in 2006 and 2009. Intended to improve accuracy, these adjustments involved updates to the base population, fertility rates, and survival rates. We compare the accuracy of projections incorporating these adjustments with the accuracy of projections excluding them. We believe this study offers a unique opportunity to examine a variety of characteristics regarding the forecast accuracy of small-area population projections by age.