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Titlebook: Higher Education Policy Analysis Using Quantitative Techniques; Data, Methods and Pr Marvin Titus Textbook 2021 Springer Nature Switzerland

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樓主: 傳家寶
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發(fā)表于 2025-3-28 17:20:10 | 只看該作者
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發(fā)表于 2025-3-28 22:05:33 | 只看該作者
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發(fā)表于 2025-3-29 01:03:20 | 只看該作者
Identifying Data Sources,s. These data are provided by international organizations, the federal government, regional compacts, and independent organizations. Most of these data are available to the public without restrictions. Many higher education analysts and researchers have used these data to examine numerous topics.
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發(fā)表于 2025-3-29 03:08:39 | 只看該作者
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發(fā)表于 2025-3-29 10:48:55 | 只看該作者
Using Descriptive Statistics and Graphs,e statistics, that include measures of central tendency and dispersion, are discussed and demonstrated using real data. The utilization of graphs, which includes histograms, box charts, and scatter plots, are also presented.
46#
發(fā)表于 2025-3-29 11:33:03 | 只看該作者
Introduction to Intermediate Statistical Techniques,ession. This chapter demonstrates how we can use these statistical techniques to analyze panel data. It shows how various tests can be conducted to determine the appropriate method that should be employed in correlational studies. The chapter also introduces how multivariate regression can be modifi
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發(fā)表于 2025-3-29 17:58:54 | 只看該作者
48#
發(fā)表于 2025-3-29 21:52:26 | 只看該作者
Advanced Statistical Techniques:II,ced statistical techniques that enable higher education policy analysts to exploit the use of emerging macro panel data. These statistical techniques include heterogeneous coefficient regression (HCR) with dynamic coefficient common correlated estimation (DCCE) and mean group (MG) estimators. Using
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