Learn to use Cochran's Q test in SPSS with data from the College Scorecard (2009-2013) / The Odum Institute
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | London : SAGE Publications Ltd. |
| 出版年 | 2018 |
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| 書誌ID | OB00842202 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | License restrictions may limit access 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 College Scorecard Data from the U.S. Department of Education. It examines any change over time in the number of U.S. public colleges whose two-year default rates are 0 (i.e., no borrower of federal student loans defaulted within the first two years since entering repayment). Results from an analysis like this could provide useful information on the debt burden of college students, and help students make knowledgeable decisions when borrowing for college.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://collegescorecard.ed.gov/data/) Description based on XML content |
| 著者標目 | *Odum Institute |
| 件 名 | LCSH:Statistical decision LCSH:Universities and colleges -- Admission 全ての件名で検索 |
| 分 類 | LCC:QA279.4 DC:519.542 |
| 巻冊次 | online resource ; ISBN:9781526437785 ; PRICE:No price RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
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※2020年8月16日以降