Center for Social Research and Data Archives

Quantitative Analysis Seminars

In order to encourage researchers to make the best use of the survey data kept in the SSJ Data Archive, we conduct a short-term training program on the statistical analysis and the basic use of the statistical software package.

2025 Summer

  1. Introduction to Quantitative Analysis Using Stata(Ryota Mugiyama)
  2. Get Started - Welcome to Statistical Research and R(Keisuke Kawata)
  3. From the basic principles of Correspondence Analysis(CA) and Multiple Correspondence Analysis (MCA) to their applications(Kazuo Fujimoto)
  4. Longitudinal Analysis of Textual Data for Social Science Research(Kohei Watanabe)

2024 Spring

  1. Estimating causal effect and group disparity powered by Machine Learning (Keisuke Kawata)
  2. The practice of Panel Data Analysis Using Stata (Ryota Mugiyama)
  3. Bayesian Statistical Modeling: Focusing on Multilevel Analysis (Hiroshi Shimizu)

2024 Summer

  1. Introduction to Quantitative Analysis Using Stata (Ryota Mugiyama)
  2. Introduction to Network Analysis Using R (Tsutomu Suzuki)
  3. Updating OLS: Reinterpretation as BLP and Balancing Weight (Keisuke Kawata)
  4. Quantitative Evaluation of Social Science Phenomena Using Spatial Regression Models (Ryuei Nishii,Shojiro Tanaka)

2023 Spring

  1. The practice of Panel Data Analysis Using Stata(Ryota Mugiyama)
  2. Causality and Disparity with R: Identification and Estimation method(Keisuke Kawata)
  3. From Basic to Advanced Survival Analysis in R(Nobutaka Fukuda)
  4. Machine Learning for Social Science: Supervised Learning/ Causal Inference/Disparity Analysis(Keisuke Kawata)

2023 Summer

  1. Introduction to Quantitative Analysis Using Stata(Ryota Mugiyama)
  2. Principles and Practices of Correspondence Analysis (CA) and Multiple Correspondence Analysis(MCA) (Kazuo Fujimoto)
  3. Causal Inference with R: Control variable and Pannel Data(Keisuke Kawata)
  4. Introduction to Sample Survey Methods(Takahiro Tsuchiya)

2022 Spring

  1. Introduction to Secondary Analysis (Satoshi Miwa, Nobutada Yokouchi, Megumi Ikeda)
  2. Tutorial to Social Analysis on Data with Python (Keisuke Kawata)
  3. The practice of Panel Data Analysis Using Stata (Ryota Mugiyama)
  4. Social Analysis Using Machine Learning: Application to Supervised Learning and Causal Inference (Keisuke Kawata)

2022 Summer

  1. Introduction to Secondary Analysis (Satoshi Miwa, Nobutada Yokouchi, Megumi Ikeda)
  2. Introduction to Quantitative Analysis Using Stata (Ryota Mugiyama)
  3. PCA and EFA with R (Tomoharu Mori)
  4. Introduction to Causal Inference with R: Use of Quarto, Matching, and Multiple-Testing to Improve Reliability (Keisuke Kawata)

2021 Spring

  1. Introduction to Secondary Analysis (Satoshi Miwa, Nobutada Yokouchi, Megumi Ikeda)
  2. Introduction to Quantitative Analysis Using Stata (Ryota Mugiyama)
  3. Introduction to Machine Learning for Social Sciences (Keisuke Kawata)
  4. Introduction to Statistical Causal Inference: Potential Outcomes and regression discontinuity design (Masayoshi Takahashi)

2021 Summer

  1. Introduction to Secondary Analysis with SPSS (Satoshi Miwa, Nobutada Yokouchi, Megumi Ikeda)
  2. Quantitative Analysis in Practice Using Stata (Ryota Mugiyama)
  3. Theory and Practice of Survey Experiments (Masaki Hata)
  4. Causal Analysis Using Regression and Propensity Score Models (Tomohiro Shinozaki)

2020 Spring

  1. Introduction to Secondary Analysis with STATA 　(Satoshi Miwa, Shuhei Naka, Megumi Ikeda)
  2. Introduction to R for Secondary Analysis 　(Sho Fujihara, Shoki Okubo, Sumire Kurokawa)
  3. Academic Freedom and Statistical Analysis 　(Dan Sasaki)
  4. Introduction to Statistical Causal Inference with R 　(Keisuke Kawata)
  5. Introduction to Machine Learning with R 　(Keisuke Kawata)

2019 Spring

    Due to the spread of the new coronavirus infection, these seminars has been canceled.

  1. Introduction to Secondary Analysis with STATA (Satoshi Miwa, Shuai Wang, Naka Shuhei)
  2. Mastering Cross Tabulation Analysis (Satoshi Miwa)
  3. Statistics and Freedom of Expression (Dan Sasaki)
  4. Causal Inference Using Regression Analysis and Propensity Score (Tomohiro Shinozaki)
  5. Introduction to Machine Learning for Social Sciences (Keisuke Kawata)

2019 Special

Methods for Small-Area-Estimation using Non-Representative Samples （Roberto Cerina）

2019 Summer

  1. Introduction to Secondary Analysis (Shuai Wang, Natsuho Tomabechi, Satoshi Miwa )
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Introduction to R for Secondary Analysis (Sho Fujihara, Shoki Okubo)
  4. Introduction to Statistical Causal Inference with R (Keisuke Kawata)

2018 Spring

  1. Introduction to Secondary Analysis (Satoshi Miwa, Natsuho Tomabechi, Shuai Wang)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Pitfall in statistics analysis(Dan Sasaki)
  4. Introduction to Panel Data Analysis Using Stata (Masaaki Mizuochi)

2018 Summer

  1. Introduction to Secondary Analysis with STATA (Satoshi Miwa, Natsuho Tomabechi, Shuhei Naka)
  2. Introduction to R for Secondary Analysis (Sho Fujihara, Shoki Okubo)
  3. Introduction to Statistical Causal Inference with R (Keisuke Kawata)
  4. Introduction to Dyadic Data Analysis(Takayuki Sasaki）

2017 Spring

  1. Introduction to Secondary Analysis (Satoshi Miwa, Natsuho Tomabechi)
  2. Stats Underground(Dan Sasaki)
  3. Introduction to Panel Data Analysis Using Stata (Masaaki Mizuochi)
  4. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)

2017 Summer

  1. Introduction to Secondary Analysis (Satoshi Miwa, Natsuho Tomabechi)
  2. R Introduction to the Secondary Analysis (Toshiyuki Sirakawa, Sho Fujihara)
  3. Introduction to Network Analysis (Tsutomu Suzuki)
  4. The First Step of Econometrics: Stata by Regression Analysis (Ryuichi Tanaka)

2016 Spring

  1. Introduction to Secondary Analysis (Satoshi Miwa, Natsuho Tomabechi)
  2. Pitfalls of Quantitative Analysis (Dan Sasaki)
  3. Introduction to Regression Analysis Using Stata (Masaaki Mizuochi)
  4. Association Models (Raymond Sin-Kwok Wong）

2016 Summer

  1. Introduction to Secondary Analysis (Satoshi Miwa, Izumi Mori)
  2. Introduction to R for Secondary Analysis (Sho Fujihara)
  3. Introduction to Multilevel Analysis（Hiroshi Taromaru）
  4. The First Step of Econometrics: Regression Analysis Using R (Ryuichi Tanaka)
  5. Introduction to Statistical Data Analysis (Hideki Toyota）

2015

  1. Introduction to Secondary Analysis (Satoshi Miwa)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Introduction to Quantitative Text Analysis (Kouichi Higuchi)
  4. R Introduction to the Secondary Analysis (Sho Fujihara, Yuki Yonekura)
  5. The First Step of Econometrics: R by Regression Analysis (Ryuichi Tanaka)
  6. Convenient Use of the "Language" of Statistics (Dan Sasaki)

2014

  1. Introduction to Secondary Analysis (Satoshi Miwa)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Stat Literacy (Dan Sasaki)
  4. Regression Analysis Seminar (Masaaki Mizuochi)
  5. Secondary Analysis Using R (Sho Fujihara)

2013

  1. Introduction to Secondary Analysis (Satoshi Miwa)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Text Analytics for Surveys（IBM）
  4. Secondary Analysis Using R (Keiichi Sato, Yuki Yonekura)
  5. Statistics Underground (Dan Sasaki)

2012

  1. Introduction to Secondary Analysis (Satoshi Miwa)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Regression Analysis Seminar (Masaaki Mizuochi)
  4. Secondary Analysis Using R (Keiichi Sato, Yuki Yonekura)
  5. How to Re-Lie upon Statistics (Dan Sasaki)
  6. Evaluating Counterfactual Impact and Causal Analysis Using Propensity Matching Score Weighting (Kazuo Yamaguchi)
  7. Panel Survey Analysis Using Hierarchical Linear Modeling (HLM)(Yasuo Miyazaki)

2011

  1. Bayesian Versus Non-Bayesian Statistical Thinking (Dan Sasaki)
  2. Introduction to Secondary Analysis (Kaoru Sato)
  3. Secondary Analysis Workshop (Satoshi Miwa, Koji Yamamoto)
  4. Secondary Analysis Using R (Keiichi Sato)
  5. Regression Analysis Seminar (Masaaki Mizuochi)

2010

  1. Introduction to Secondary Analysis (Kaoru Sato)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Regression Analysis Seminar (Masaaki Mizuochi)
  4. Bayesian Versus Non-Bayesian Statistical Thinking
  5. Secondary Analysis using R (Keiichi Sato）
  6. Introduction of Hierarchical Linear Modeling (HLM) and its Application to Panel Survey (Yasuo Miyazaki)

2009

  1. Introduction to Secondary Analysis (Kaoru Sato)
  2. Secondary Analysis Workshop (Hiroshi Ishida, Satoshi Miwa)
  3. Regression Analysis Seminar (Masaaki Mizuochi)
  4. Longitudinal Analysis Methods for Microdata (Nobutaka Fukuda, Masaaki Mizuochi)
  5. Quantitative Data Analysis Using STATA (Junya Tsutsui, Mito Akiyoshi)

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