Research Institute of Child Development and Education

Consultation 2.0

Consultation 2.0 is a continuing series of workshops on popular methodological and statistical topics in the social and behavioral sciences. Each workshop discusses one topic extensively. Typically, a workshop consists of a keynote lecture by an expert in the field, a shorter hands-on lecture on software, one or two short presentations by researchers who have dealt with the problems in practice, and a question and answer session.

Consultation 2.0 is organized under the auspices of VBSP. Unless stated otherwise, the workshops are taught in English. The prerequisite level of knowledge of methods, statistics, and software changes across workshops. Consultation 2.0 is free for faculty and staff of the Research Institute of Child Development and Education and VBSP members. Other participants pay €50 to cover organizational expenses. Workshop material will be sent to all participants a week in advance. Participants are encouraged to bring their own laptop computer.

Next workshops:

  • Programming in R - intermediate (January 10 & 17, 2018)
  • Linear Mixed Modelling in R - Advanced (February 6 – March 6, 2018; 2 ECs)

Programming in R - intermediate (January 10 & 17, 2018)

The workshop is designed for first-year Research-Master students who have some working knowledge of R, and who wish to learn more about the programming. The workshop is especially suited for those interested in methods and statistics. Othe participants are welcome too. The workshop takes two full days.

  • On Day 1, participants learn about the preliminaries of programming (e.g., objects; classes; functions; operators; handling zeroes, missings and extremes) and the basics of programming (e.g., design, implementation, and testing; conditional execution; loops; and writing functions). The day consists of two lectures of approximately 1.5 hour each, at 10:00h and 14:00h. In this way the participants learn how to cooperate, and use the internet as a source of information. If none of the participants knows the answer to an exercise, the exercise may be left unanswered.
  • On Day 2, participants learn more about programming, and especially about conducting simulation studies. The days consists of two short lectures, and the participants work (together or alone) on exercises. Scripts and reading material are available to help with exercises.

 

Date

 

January 10 and 17, 2017: 10.00h – 17.00h

Presenter

 

Prof. dr. Andries van der Ark, Dr. Terrence Jorgensen, Dr. Niels Smits, University of Amsterdam

Location

 

Roeterseilandcampus, Building D, Room D-7.21 (Jan 10) and D7.18 (Jan 17)

Audience

 

Research-Master students, PhD students and researchers in the social and behavioral sciences who know R as a data-analysis tool, and who want to learn programming skills.

Capacity

 

8 participants


 

Programme January 10

10:00h – 11:30h

 REC D7.21

Lecture by Andries van der Ark

11:30h – 14:00h

 

Breaks and working on exercises

14:00h – 15:30h

 REC D7.21

Lecture by Andries van der Ark

15:30h – 17:00h

 

Breaks and working on exercises

 

Programme January 17

10:00h – 11:30h

 REC D7.18

Lecture by Terrence Jorgensen

11:30h – 17:00h

 REC D7.18

Breaks and working on exercises

Linear Mixed Modelling in R - Advanced (February 6 – March 6, 2018; 2 ECs)

The workshop on linear mixed modelling in R is designed for researchers of  the program group Developmental Disorders and Special Education, but it is open to anyone interested. In four 2-hour sessions, the workshop discusses common design for mixed models and cross-nested random effects. The workshop is interesting for anyone modelling multi-level and longitudinal data. Note the following four remarks: (1) A working knowledge of R is required, which may be obtained in the workshop Programming in R (January, 2018). (2) The content of this workshop is also taught in the course Multilevel Modelling from the Research Master of Child Development and Education. Therefore, the workshop may not be of interest to those who followed the course Multilevel Modelling. (3) The maximum number of participants is 15. (4) Participants are required to bring their own laptop with R installed.

Date

 

Tuesdays 14.00h – 16.00h from February 6 to March 6.

Presenter

 

Dr. Bonne Zijlstra, University of Amsterdam

Location

 

Roeterseilandcampus, see table below

Audience

 

Research-Master students, PhD students and researchers in the social and behavioral sciences who have a working knowledge of R, and who want to use R for analyzing data with linear mixed models.

Capacity

 

15 participants

Programme Feb-March

Date

Time

Location

Topic

Feb 6, 2018

14:00h-16:00h  

B2.04

Mixed models

Feb 13, 2018

14:00h-16:00h  

B2.03

Cross-nested random effects

Feb 27, 2018

14:00h-16:00h  

B2.03

Common designs with crossed nested random effects

Mar 6, 2018

14:00h-16:00h  

CK.04

Extension

Published by  RICDE

14 December 2017