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Describes ARIMA or Box Tiao models, widely used in the analysis of interupted time series quasi-experiments, assuming no statistical background beyond simple correlation. The principles and concepts of ARIMA time series analyses are developed and applied where a discrete intervention has impacted a social system.
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Subjects
Statistical methods, Time-series analysis, Social sciences, Applied mathematics, Science/Mathematics, Statistical Methods In The Social Sciences, Social Science, Mathematics, Sociology, Probability & Statistics - General, Research, Mathematics / Statistics, Social Science / Research, Social Science-Research, Statistics, Experimental design, Social sciences, statistical methods, Interrupted Time Series Analysis, Statistics as Topic, MethodsEdition | Availability |
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Interrupted Time Series Analysis
2019, Oxford University Press, Incorporated
in English
0190943947 9780190943943
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Interrupted Time Series Analysis
2019, Oxford University Press, Incorporated
in English
0190943955 9780190943950
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4 |
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5
Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)
August 1, 1980, Sage Publications, Inc
Paperback
in English
0803914938 9780803914933
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Book Details
First Sentence
"The time series quasi-experiment was proposed initially by Campbell (1963; Campbell and Stanley, 1966) as a means of assessing the impact of a discrete intervention on a social process."
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- Created April 29, 2008
- 9 revisions
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July 31, 2019 | Edited by MARC Bot | associate edition with work OL17976831W |
August 6, 2010 | Edited by IdentifierBot | added LibraryThing ID |
April 24, 2010 | Edited by Open Library Bot | Fixed duplicate goodreads IDs. |
April 16, 2010 | Edited by bgimpertBot | Added goodreads ID. |
April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |