Time Series Analysis: Concepts and Techniques for Community Practitioners

This paper introduces community practitioners to important concepts and issues related to time series analysis. The basic components of a time series-trend, cycle, seasonal variation, and stochastic-are described, together with the related issues of sampling rate, autocorrelation, length, and missin...

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Bibliographic Details
Published in:Journal of community practice 1998-09, Vol.5 (4), p.67-85
Main Author: Dattalo, Patrick
Format: Article
Language:English
Subjects:
Community Development
Concepts
Methodology (Data Analysis)
Social Work
Social Workers
Time Series Analysis
Citations: Items that this one cites
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Description
Summary:This paper introduces community practitioners to important concepts and issues related to time series analysis. The basic components of a time series-trend, cycle, seasonal variation, and stochastic-are described, together with the related issues of sampling rate, autocorrelation, length, and missing observations. Then, a community practice example demonstrates the use of a basic two-step analytical technique. An understanding of these concepts and techniques can encourage practitioners to conduct preliminary analyses of time series, and help them evaluate the need for additional, more complex procedures.
ISSN:1070-5422
1543-3706
DOI:10.1300/J125v05n04_05