量化社会科学导论

- 书名:量化社会科学导论
- 作者: 今井耕介
- 格式:PDF
- 时间:2024-07-31
- 评分:
- ISBN:9787564236106
内容简介:
《量化社会科学导论》开篇使用种族歧视和呼吁投票运动作为例子,从实验和观察性研究角度讨论了因果性,接着讲解了度量和预测这社会科学研究数据分析中的主要目标。《量化社会科学导论》对数据分析和统计学理论进行了实践性介绍,主要针对的读者群体是本科生以及对社会科学和相关领域开展系统深入研究的研究生。《量化社会科学导论》涵盖领域包括经济学、社会学、公共政策以及数据科学,通过直接明了的实证分析,帮助读者学习用R项目语言分析数据,并阐释相关成果。
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七月四日2023-05-04看了评论,我很疑惑,这书究竟好在哪里?既不能作为实证指南,也不能作为理论书,定位尴尬。不过里面讲的画图可能还有点价值
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朗姆与可口可乐2022-01-111.前面读得很流畅,后面概率和假设检验的部分看不太明白了。2.swirl里有配套的例题这点挺好的,例题也都不难,看完书可以敲一敲加强印象。3.举例基本举的都是美国选举或者别的什么选举的例子(包括预测选举结果)。有在思考除了选举,这些方法可以应用在哪些地方,尤其是研究中国社会时……
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蒲公英2024-05-13作为导论,主线清晰,章节次序也与传统量化教材不同,有新意
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Graciosa2023-09-14Step 1: Choose the initial centroids of k clusters.Step 2: Given the centroids, assign each observation to a cluster whose centroid is the closest (in terms of Euclidean distance) to that observation.Step 3: Choose the new centroid of each cluster whose coordinate equals the within-cluster mean of the corresponding variable.Step 4: Repeat Step 2 and 3 until cluster assignments no longer change.
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Graciosa2023-09-14The k-means algorithm is an iterative algorithm in which a set of operations are repeatedly performed until a noticeable difference in results is no longer produced. The goal of the algorithm is to split the data into k similar groups where each group is associated with its centroid, which is equal to the within-group mean.
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Graciosa2023-09-14The natural logarithm transformation is often used to correct the skewness of variables such as income and population that have a small number of observations with extremely large or small positive values.
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