This course trains PhD candidates in analytical skills pertaining to specific quantitative research methods. Participants will receive intensive training in specified advanced methods of analysis which are as much as possible tailored to participants’ interests and needs.
FSS - Selected Quantitative Methods
dr. Mauricio Garnier Villarreal
Course Description
Participants will be trained in some of the most commonly used quantitative analytical methods in the social sciences. The content of the course will be tailored to the needs of participants and their individual research projects, and the level of training will depend on students’ existing knowledge. Prior to the course (in advance of and during the pre-course meeting) participants are required to indicate in which specific method of analysis they want to receive further training. A focus on a variety of quantitative methods is possible upon request (ranging from general linear models to mixed models and generalized linear models, Multilevel analysis and Structural Equation Modeling). The exact content and set-up of the course is then specified after the number and interests of participating students is known.
Study Characteristics
- Discipline: Quantitative Methods
- Language: English
- ECTS: 3
- Type of education: In class
- Academic skill: Research
- 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: At least a background in simple statistics is needed. E.g. a course of statistics usually done in undergrad psychology course
- Schedule
6 sessions,
4 November, 13.00-16.00
7 November, 13.00-16.00
11 November, 13.00-16.00
14 November, 13.00-16.00
18 November, 13.00-16.00
21 November, 13.00-16.00
- Concluding assessment: Yes
- With Certificate: Yes
- Available to: PhD students VU | employees (if space allows) Fee € 450 VU-GSSS PhD candidates and ZU PhD candidates do not pay a fee. All other VU -PhD candidates do need to pay the fee
- Name of teacher: Dr. Mauricio Garnier Villarreal (m.garniervillarreal@vu.nl)
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Course Description & Study Characteristics
Course Description
Participants will be trained in some of the most commonly used quantitative analytical methods in the social sciences. The content of the course will be tailored to the needs of participants and their individual research projects, and the level of training will depend on students’ existing knowledge. Prior to the course (in advance of and during the pre-course meeting) participants are required to indicate in which specific method of analysis they want to receive further training. A focus on a variety of quantitative methods is possible upon request (ranging from general linear models to mixed models and generalized linear models, Multilevel analysis and Structural Equation Modeling). The exact content and set-up of the course is then specified after the number and interests of participating students is known.
Study Characteristics
- Discipline: Quantitative Methods
- Language: English
- ECTS: 3
- Type of education: In class
- Academic skill: Research
- 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: At least a background in simple statistics is needed. E.g. a course of statistics usually done in undergrad psychology course
- Schedule
6 sessions,
4 November, 13.00-16.00
7 November, 13.00-16.00
11 November, 13.00-16.00
14 November, 13.00-16.00
18 November, 13.00-16.00
21 November, 13.00-16.00
- Concluding assessment: Yes
- With Certificate: Yes
- Available to: PhD students VU | employees (if space allows) Fee € 450 VU-GSSS PhD candidates and ZU PhD candidates do not pay a fee. All other VU -PhD candidates do need to pay the fee
- Name of teacher: Dr. Mauricio Garnier Villarreal (m.garniervillarreal@vu.nl)