Assessing the Quality of Longitudinal Surveys

Boruch, Robert F.; Pearson, R. W.

doi:10.1177/0193841x8801200101

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…Inadequate follow-up rates can result in biased data with spurious associa-tions or missed relationships [2]. Every lost subject increases the risk of bias and the threat to both internal and external validity of the research [3,4].…”

Section: Introductionmentioning

confidence: 99%

Longitudinal research: methods for maximizing subject follow‐up

Wutzke

Conigrave

Kogler

et al. 2000

Drug and Alcohol Review

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Early intervention for hazardous alcohol use has been shown repeatedly to be effective in reducing alcohol consumption, limiting alcohol‐related problems and improving biochemical parameters. However, in most studies the follow‐up period has been 2 years or less. The current paper presents progress on a 10‐year follow‐up of a randomized controlled trial of early intervention. Methods used for tracing subjects and ensuring minimal refusals are detailed. The intensity of effort required to locate subjects is documented and recommendations for ensuring good follow‐up rates are made. At completion of follow‐up, 72.5% of the sample reviewed here and 78.2% of the total cohort had been traced. Our experiences demonstrate that long‐term follow‐up is feasible, given sufficient planning and persistence.

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Section: Introductionmentioning

confidence: 99%

Longitudinal research: methods for maximizing subject follow‐up

Wutzke

Conigrave

Kogler

et al. 2000

Drug and Alcohol Review

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“…Subjects of panel surveys have included, for example, human growth and development, juvenile delinquency, druguse, victimizations from crime, voting behaviour, marketing studies of consumer expenditures, education and career choices, retirement, health, and medical care expenditures. (See Wall and Williams (1970) for a review of early panel studies on human growth and development, Boruch and Pearson (1988) for descriptions of some US panel surveys, and the Subcommittee on Federal Longitudinal Surveys (1986) for descriptions of US federal panel surveys.) In recent years, there has been a major upsurge in interest in panel surveys in many subject-matter areas, and especially in household economics.…”

Section: Panel Surveysmentioning

confidence: 99%

Panel surveys: Adding the fourth dimension

Kalton

Citro

1995

Innovation: The European Journal of Social Science Research

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Practitioners and academics are often faced with the problem that some time series of interest are not available at high frequencies. When related series exist, the Chow and Lin (1971) methodology can be used to disaggregate a low frequency series into its high frequency counterpart using the available related series. The aim of this paper is to increase accuracy of the Chow and Lin (1971) methodology by exploiting information from the cross-sectional dimension. Contribution We suggest jointly estimating multiple Chow and Lin (1971) equations, one for each cross-sectional unit, restricting the coefficients to be the same across units in order to interpolate unit-specific data. In contrast to the estimation of single equations, unobservable time-varying characteristics (e.g. structural breaks) that are common across units can be taken into account. The proposed approach is straightforward to implement and can readily be applied to various settings. Results We provide empirical evidence that the panel-based approach can improve accuracy compared to single equation models, in particular when the time dimension of available data is short. Furthermore, the results suggest that controlling for unobservable time-varying characteristics can improve accuracy of the resulting interpolated series. Nichttechnische Zusammenfassung Fragestellung Forscher werden häufig mit dem Problem konfrontiert, dass betrachtete Zeitreihen nicht in hoher Frequenz verfügbar sind. Liegen jedoch verwandte, hochfrequente Zeitreihen vor, kann eine niederfrequente Zeitreihe nach Chow und Lin (1971) disaggregiert werden. Ziel des vorliegenden Papiers ist es, die Genauigkeit des Chow und Lin (1971)-Ansatzes durch Einbeziehung von Querschnittsinformationen zu verbessern. Beitrag Mehrere Chow und Lin (1971)-Gleichungen werden (bei Annahme identischer Regressi-onskoeffizienten für die einzelnen Querschnittseinheiten) simultan geschätzt. Auf Basis dieser Schätzungen können einheitenspezifische Zeitreihen interpoliert werden. Im Ge-gensatz zu einer Schätzung von Einzelgleichungen können unbeobachtbare, zeitvariable Charakteristika (z.B. Strukturbrüche), die allen Querschnittseinheiten gemeinsam sind, berkücksichtigt werden. Der vorgeschlagene Ansatz ist einfach zu implementieren und kann leicht an verschiedene Anwendungen angepasst werden. Ergebnisse Die empirische Evidenz zeigt, dass der Panel-basierte Ansatz inbesondere dann zu ge-naueren interpolierten Zeitreihen führen kann, wenn die verfügbaren Daten eine gerin-ge Zeitdimension aufweisen. Darüber hinaus deuten die Ergebnisse darauf hin, dass die Berücksichtigung unbeobachtbarer, zeitvariabler Charakteristika die Genauigkeit der in-terpolierten Reihen verbessern kann. Abstract Single equation models are well established among academics and practitioners to perform temporal disaggregation of low frequency time series using available related series. In this paper, we propose an extension that exploits information from the cross-sectional dimension. More specifically, we suggest jointly estimating mult...

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“…Moreover, the department does not suggest that it expects and wants bidders to offer alternatives, so the department is signaling to bidders that only those designs that conform to the initial design will win. As a result, nonsterotypical designs such as those that might couple longitudinal designs with experiments or case studies are rarely applied (Boruch and Pearson, 1988).…”

Section: Defining the Me1'huuulugymentioning

confidence: 99%

“…Thus Congress gains an overview of the projects purchased with federal funds, and derives knowledge of the best practices from the more detailed examination of exemplary projects. More sophisticated coupling designs that would join randomized field experiments with ongoing longitudinal surveys (Boruch and Pearson, 1988) are also under consideration.…”

Section: Desi(ln Approachesmentioning

confidence: 99%

Revitalizing Program Evaluation

Ginsburg

1989

Eval Rev

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This study explores reform strategies which the Department of Education has introduced to improve the quality and use of its evaluations. These reforms respond to concerns identified in major reports that were extremely critical of the department's methodological and managerial approach to conducting evaluation studies. Four types of reforms are examined: (1) organizational changes to improve operations, (2) expanded design approaches to strengthen methodological practices, (3) new standards to ensure evaluation quality, and (4) shifts in fiscal support to promote underfunded evaluation activities. The article also discusses the importance of developing a mutually supportive relationship between evaluators and policymakers.

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Assessing the Quality of Longitudinal Surveys

Cited by 9 publications

References 36 publications

Longitudinal research: methods for maximizing subject follow‐up

Longitudinal research: methods for maximizing subject follow‐up

Panel surveys: Adding the fourth dimension

Revitalizing Program Evaluation

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