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FSS - Selected Quantitative Methods

FSS - Selected Quantitative Methods

This course trains PhD candidates in analytical skills pertaining to specific quantitative research methods. Participants will receive intensive training in data analysis methods related to multilevel modeling, structural equation modeling, and longitudinal models.

dr. Mauricio Garnier Villarreal

Course Description

Participants will be trained in some of the most commonly used quantitative analytical methods in the social sciences. Focused in methods related to multilevel modeling, structural equation modeling, and longitudinal models. Prior to the course (in advance of and during the pre-course meeting) participants are required to indicate in which methods of analysis they are familiar with, so the instructor is able to prepare leveling materials. The data analysis methods will be taught in R, so basic knowledge is preferable, and the instructor will provide basic tutorials as well for students that require more practice. 

Study Characteristics

  • Discipline: Social Sciences
  • Language: English
  • ECTS: 3
  • Type of education: In class
  • Academic skill: Quantitative Methods
  • Graduate School: Graduate School of Social Sciences
  • Start date: 4 November 2024
  • End date: 21 November2024
  • Registration deadline: 4 weeks before the start of the course
  • Minimum number of students: 5
  • Maximum number of students: 12
  • Admission criteria: A background in simple statistics is needed.
  • Assessment type: Data analysis small projects, for each method the students will be ask to apply the analysis method, and write up the results.
  • Schedule

4 November, 10:00 - 13:00

7 November, 10:00 - 13:00

11 November, 10:00 - 13:00

14 November, 10:00 - 13:00

18 November, 10:00 - 13:00

21 November, 10:00 - 13:00

  • Course Description & Study Characteristics

    Course Description

    Participants will be trained in some of the most commonly used quantitative analytical methods in the social sciences. Focused in methods related to multilevel modeling, structural equation modeling, and longitudinal models. Prior to the course (in advance of and during the pre-course meeting) participants are required to indicate in which methods of analysis they are familiar with, so the instructor is able to prepare leveling materials. The data analysis methods will be taught in R, so basic knowledge is preferable, and the instructor will provide basic tutorials as well for students that require more practice. 

    Study Characteristics

    • Discipline: Social Sciences
    • Language: English
    • ECTS: 3
    • Type of education: In class
    • Academic skill: Quantitative Methods
    • Graduate School: Graduate School of Social Sciences
    • Start date: 4 November 2024
    • End date: 21 November2024
    • Registration deadline: 4 weeks before the start of the course
    • Minimum number of students: 5
    • Maximum number of students: 12
    • Admission criteria: A background in simple statistics is needed.
    • Assessment type: Data analysis small projects, for each method the students will be ask to apply the analysis method, and write up the results.
    • Schedule

    4 November, 10:00 - 13:00

    7 November, 10:00 - 13:00

    11 November, 10:00 - 13:00

    14 November, 10:00 - 13:00

    18 November, 10:00 - 13:00

    21 November, 10:00 - 13:00

Graduate School of Social Sciences

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