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Learn to use Cochran's Q test in SPSS with data from the Health Insurance Marketplace (2014-2016)

Author: Odum Institute,
Publisher: London : SAGE Publications Ltd., 2018.
Edition/Format:   eBook : Document : English
Summary:
This dataset example introduces readers to the Cochran's Q test. This technique allows researchers to test whether there is a difference between three or more related groups of measurements on a binary (i.e., dichotomous) variable. Hence, it is commonly used to study any change in the subjects from one time point to another, or to compare the effects of different treatments/conditions. This example uses a subset of  Read more...
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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Odum Institute,
ISBN: 9781526437969 1526437961
OCLC Number: 1076675518
Description: 1 online resource : illustrations
Responsibility: The Odum Institute.

Abstract:

This dataset example introduces readers to the Cochran's Q test. This technique allows researchers to test whether there is a difference between three or more related groups of measurements on a binary (i.e., dichotomous) variable. Hence, it is commonly used to study any change in the subjects from one time point to another, or to compare the effects of different treatments/conditions. This example uses a subset of data from the Health Insurance Marketplace Public Use Files released by the Centers for Medicare & Medicaid Services (CMS). It examines any change over time in the number of health insurance issuers that cover infusion therapy, a common treatment for cancer and cancer-related pains. Results from an analysis like this could reveal changes in health care systems and inform public health policies.In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of questions this technique can be used to answer, and how to produce and report results. The sample dataset has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://www.cms.gov/cciio/resources/data-resources/marketplace-puf.html).

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