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6456 - 量化研究方法 Quantitative Research Methods


教育目標 Course Target

統計除了是社會學量化研究之基礎外,亦在市場調查、民意調查等領域有著廣泛的用途。本課程提供社會統計學的基礎知識,主要教授單一變項的描述統計與統計推論。課程將涵蓋變項測量、比較、圖形製作、集中趨勢、離散趨勢,並且涵蓋常態分配、抽樣、抽樣分配、估計與假設檢定、兩變項和多變項的統計推論部分,包含兩樣本假設檢定、卡方檢定、兩變項間之相關(含類別變項、等級變項、等距變項)、線性迴歸、變異數分析、多元迴歸、模型建構、羅吉斯迴歸等。此外本課程亦會教授目前應用程度最廣、取得最便利之統計軟體R,藉此建立修課同學之實作能力。在R教學部分,除了與統計課程配合,說明如何使用R進行統計分析外,本課程注重的是資料整理之方法,這是因為無論統計資料是來自資料庫或是由研究者自行蒐集,再進到統計分析步驟前,都必須要經過一系列的資料整理過程,而這個過程亦是統計分析的核心。In addition to being the basis of quantitative social research, statistics also have wide uses in market surveys, public opinion surveys and other fields. This course provides basic knowledge of social statistical science, mainly teaches describing statistics and statistical recommendations of a single change. The course will cover the measurement, comparison, graphic production, centralized trends, and dispersal trends, and the statistical recommendations of normal allocation, sampling, sampling allocation, estimation and assumption confirmation, two-variable and multiple changes, Including two hypothesis confirmation, chi-square confirmation, and the correlation between the two variations (including category changes, level changes, and equidistance changes), linear regression, variation analysis, multivariate regression, model construction, Rogis regression, etc. . In addition, this course will also teach the most widely used and most convenient statistical software R to establish the practical ability of students in the course. In the R teaching part, in addition to cooperating with the statistical course to explain how to use R for statistical analysis, this course focuses on data sorting methods. This is because regardless of whether the statistical data comes from the database or is collected by the researcher himself, then collected it Before the statistical analysis step, a series of data sorting processes must be passed, and this process is also the core of statistical analysis.


參考書目 Reference Books

Agresti, Alan 2018 Statistical Methods For the Social Sciences. Fifth Edition. Pearson.
A GRE test questions, Alan 2018 statistical methods fort and social sciences. fifth edition. Pearson.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
課堂參與課堂參與
Class Participation
15
每週作業每週作業
Weekly Work
25
第一次小考第一次小考
First small exam
20
第二次小考第二次小考
The second small exam
20
上機考上機考
Take the machine exam
20

授課大綱 Course Plan

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Course Information

Description

學分 Credit:0-3
上課時間 Course Time:Tuesday/2,3,4[SS312-2]
授課教師 Teacher:彭思錦
修課班級 Class:社會碩博1
選課備註 Memo:量化及質性二擇一修習,學生自行選課。隨班附讀請獲得老師同意。
授課大綱 Course Plan: Open

選課狀態 Attendance

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