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The former has poor small sample Type I error performance and the latter has the bothersome property that results are often declared to be \u201cinconclusive.\u201d The test proposed in this article is simple to compute (special software is not required), there is no inconclusive region, an exact p-value is provided, and it has good Type I error and power properties relative to competing procedures. It is shown that these desirable properties hold when design matrices of a specified form are used to model the response variable. A Monte Carlo evaluation of the method, including comparisons with other tests ( viz., runs, D-W bounds, and D-W beta), and examples of application are provided.<\/jats:p>","DOI":"10.2466\/pr0.2000.87.1.3","type":"journal-article","created":{"date-parts":[[2011,8,31]],"date-time":"2011-08-31T14:16:09Z","timestamp":1314800169000},"page":"3-20","source":"Crossref","is-referenced-by-count":20,"title":["A Simple and Powerful Test for Autocorrelated Errors in OLS Intervention Models"],"prefix":"10.1177","volume":"87","author":[{"given":"Bradley E.","family":"Huitema","sequence":"first","affiliation":[{"name":"Department of Psychology, Western Michigan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph W.","family":"McKean","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Western Michigan University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2000,8,1]]},"reference":[{"key":"bibr1-pr0.2000.87.1.3","doi-asserted-by":"publisher","DOI":"10.1111\/j.2044-8317.1978.tb00581.x"},{"key":"bibr2-pr0.2000.87.1.3","volume-title":"Regression analysis by example","author":"Chatterjee S.","year":"2000","edition":"3"},{"key":"bibr3-pr0.2000.87.1.3","doi-asserted-by":"publisher","DOI":"10.1002\/9781118625590"},{"key":"bibr4-pr0.2000.87.1.3","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/37.3-4.409"},{"key":"bibr5-pr0.2000.87.1.3","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/38.1-2.159"},{"key":"bibr6-pr0.2000.87.1.3","doi-asserted-by":"publisher","DOI":"10.1901\/jaba.1984.17-249"},{"key":"bibr7-pr0.2000.87.1.3","volume-title":"Regression analysis: Statistical modeling of a response variable","author":"Freund R. 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