| 書目名稱 | Quality Research in Literacy and Science Education |
| 副標題 | International Perspe |
| 編輯 | Mack C. Shelley,Larry D. Yore,Brian Hand |
| 視頻video | http://file.papertrans.cn/781/780298/780298.mp4 |
| 概述 | Provides uniquely international perspectives on modern applications of research methods in education.Demonstrates how researchers and educators in science education and literacy can strengthen their f |
| 圖書封面 |  |
| 描述 | Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Evaluation; PISA; education; education research; educational research; evidence-based practice; gold stand |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4020-8427-0 |
| isbn_softcover | 978-90-481-7877-3 |
| isbn_ebook | 978-1-4020-8427-0 |
| copyright | Springer Science+Business Media B.V. 2009 |
|Archiver|手機版|小黑屋|
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