Category Archives: Quantitative Methods

GIGA Workshop: Survey Experiments in Political Science (17./18.11.14)

Institution: GIGA Doctoral Programme

Lecturer: Dr. Gabriele Spilker, University of Salzburg

Date: November 17-18, 2014

Place: GIGA German Institute of Global and Area Studies, Neuer Jungfernstieg 21

Language of instruction: English

Registration: Participants need to register until 15 October via e-mail with Adam Kephart. Please use the registration sheet to be found on the website of the GIGA Doctoral Programme.

Contents/Outline

Doktorandenweiterbildung: Hamburger R-Kurs

Vom 27.07 bis 01.08.2014 wird an der Helmut-Schmidt-Universität Hamburg im Rahmen der Doktorandenweiterbildung der Hamburger R-Kurs bei Prof. Dr. Torben Kulenkasper angeboten.

Details zu der Veranstaltung finden Sie unter diesem Link

Um Anmeldung per Email an Frau Jahn bis zum 24.07.2014 wird gebeten.

Doktorandenweiterbildung: SPSS für Fortgeschrittene

Im Rahmen der Doktorandenweiterbildung findet ein Blockseminar “SPSS für Fortgeschrittene” statt. Dieses richtet sich an Promovierende, die bereits erste Erfahrungen im Umgang mit SPSS gesammelt haben. Der Besuch eines SPSS für Anfänger ist wünschenswert, aber nicht Voraussetzung.

Inhalt:

Aufbauend auf dem Kurs im HT2013, in dem grundlegende Verfahren der Deskriptiv- und Inferenzstatistik besprochen wurden, werden weiterführende Verfahren zur Datenanalyse vorgestellt, insbesondere:

  • Varianzanalyse
  • Regression, multiple lineare und logistische
  • Hauptkomponenten-/Faktorenanalyse
  • Clusteranalyse

Gern können nach Absprache mit der Dozentin auch individuelle Fragen besprochen werden.

Teilnahmevoraussetzungen:

  • Grundkenntnisse der Deskriptiv- und Inferenzstatistik
  • Grundkenntnisse SPSS

 

Termine:

26.06.2014: 10:00 – 17:00 Uhr
27.06.2014: 09:00 – 13:00 Uhr

03.07.2014: 10:00 – 17:00 Uhr
04.07.2014: 09:00 – 13:00 Uhr

 

Anmeldung:

Informationen zur Anmeldung finden Sie unter diesem Link.

8th International Research Workshop “Methods for PhD” near Flensburg, September 28-October 3, 2014

Empirical research is seeking through methodological processes to discover, hopefully, nontrivial facts and insights. Beside choosing a topic and grounding an idea in theory, empirical research consists of gathering and analysing data as well as presenting results in scientific contexts in order to contribute new issues to the body of acquired knowledge – not only to someone‘s own but also to that of others.

Our workshop tackles these steps of your research project:

  • Gathering data via (un)structured interviews and analysing standardized survey data,
  • using the computer for qualitative and quantitative data analysis.

These steps will strengthen the cooperation in empirical research to boost and streamline ones project.

The regular workshop fee is 399 Euro (including meals and accommodation). The workshop fee is 249 Euro without accomodation at Sankelmark (only meals are included).

It is possible to get a certificate on 5 credit points (according to the European Credit Transfer System).

In detail the following courses will be offered:

Parallel Courses in the morning (September 28-October 1):

  • Data Analysis with R
  • Data Analysis with Stata
  • Qualitative Research Methodology and Design Strategy
  • Expert Interviews
  • Introduction to German Data Sets

Parallel Courses in the afternoon (September 28-October 1):

  • Spatial and Panel Econometrics
  • Questionnaire Design
  • Qualitative Compartive Analysis (QCA) and Fuzzy Sets
  • Structural Equation Modelling with R
  • Case Study Research

Parallel Courses at the SDU (October 2):

  • Introduction to MaxQDA
  • Network Analysis
  • Mixed Methods
  • Academic Writing
  • Theoretical and Applied Aspects of Survey Sampling

PLEASE notice that every course has just a certain amount of participants!

For further information, especially lecturers & program, organizers and registration visit our website.

For any questions don’t hesitate to contact the workshop committee.

The International Research Workshop is organised by

  • Prof. Dr. Wenzel Matiaske, Faculty of Economics and Social Sciences, Helmut-Schmidt-University/University of Federal Armed Forces and Research Professor at the German Institute for Economic Research (DIW Berlin)
  • Asst. Prof. Dr. Simon Fietze, Department of Border Region Studies, University of Southern Denmark, Campus Sønderborg
  • Dr. Heiko Stüber, Institute for Employment Research (IAB), The Research Institute of the Federal Employment Agency in Nuremberg

The workshop is supported by

  • Vidensregion/Wissensregion Syddanmark * Schleswig-Holstein (Interreg 4A)
  • University of Flensburg
  • University of Hamburg, Faculty of Economics and Social Sciences
  • University of Hamburg, School of Business
  • Leuphana University Lüneburg, Faculty of Economics
  • GESIS – Leibniz Institute of the Social Sciences
  • Werkstatt für Personal- und Organisationsforschung e.V.
  • German Socio-Economic Panel Study (SOEP) at the DIW Berlin

Kursangebot im VHB-Prodok “Qualitative Methoden und Mixed Methods in der Managementforschung”

Das Kursangebot im VHB-Prodok zum Thema “Qualitative Methoden und Mixed Methods in der Managementforschung” findet statt vom 24. bis 27. September 2014 und wird durchgeführt von Prof. Dr. Thomas Wrona (Institut für Strategisches & Internationales Management, Technische Universität Hamburg-Harburg) und Prof. Dr. Philipp Mayring (Institut für Psychologie der Alpen-Adria-Universität Klagenfurt) an der TU Hamburg-Harburg.

Informationen zur Anmeldung (bis 17. März 2014) und zum detaillierten Kursprogramm finden Sie unter der folgenden Internetadresse:

http://vhbonline.org/veranstaltungen/doktorandenprogramm/kursuebersicht/qmm14/

 

Theoretical and Applied Aspects of Survey Sampling

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Stephanie Eckman (Institute for Employment Research/IAB)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

This course will cover various methods of sample selection, and their advantages and disadvantages. We will also discuss why it is important to analyze survey data using methods that account for its complex design, and how to do in Stata. Students should have had at least previous course in statistics – no prior knowledge of sampling theory is assumed, but students should be comfortable with statistical concepts such as hypothesis testing, variance, standard errors, confidence intervals, etc. In addition, basic knowledge of Stata is required.

You have to register for the 8th International Research Workshop to participate in this course.

Mixed Methods

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Prof. Dr. Udo Kelle & Dr. Elke Goltz (Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 22

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The course will give an overview about current debates regarding the integration of qualitative and quantitative methods in social research and about the most important (agreed-upon and contested) issues in the field. We will discuss different forms of mixed methods, reasons for using such designs and criteria for the assessment of the quality of designs and findings from mixed methods studies. Since mixed methods designs are used to compensate for specific limitations of qualitative or quantitative (mono)methods special emphasis is laid on problems of qualitative and quantitative research –problems of operationalization and measurement, problems of statistical inference, of generalizability and sampling, of (causal) explanation, theory testing and theory generation, both in qualitative and quantitative research. We will demonstrate how such problems can be detected and dealt with in a mixed methods design. Finally, it will be shown how qualitative and quantitative findings from a mixed methods study can be meaningfully integrated and how convergent, contradictory and complementary findings can be dealt with.

Required basic knowledge: Basic knowledge and skills in social research methods and methodology (qualitative and quantitative) equivalent to the level of a Bachelor degree in a Social Science discipline

You have to register for the 8th International Research Workshop to participate in this course.

Network Analysis

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Per Kropp (Institute for Employment Research/IAB)

Date: Thursday, 02/10/14 from 09.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:

This course will familiarize students with basic concepts in social network analysis and its application. The focus will be on social networks as structure.. We will use the software package Pajek (the book edition: http://vlado.fmf.uni-lj.si/pub/networks/book/esna2.htm) to analyse centrality and prestige in networks, subgroup, and roles and positions.

Recommended literature and pre-readings:

  • De Nooy, W., A. Mrvar, et al. (2011). Exploratory Social Network Analysis with Pajek, Cambridge University Press.
  • Freeman, L. (2011): The Development of Social Network Analysis—with an Emphasis on Recent Events.  In J. Scott and P. J. Carrington (eds.) The SAGE Handbook of Social Network Analysis.London: SAGE Publications.

You have to register for the 8th International Research Workshop to participate in this course.

Structural Equation Modelling with R

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Holger Steinmetz (University of Paderborn)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 from 09.00-12.30 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English/German (depending on participants)

Contents:

Structural equation models (SEMs) have become a powerful tool in the behavioral sciences to test hypotheses about relationships between variables and implications of causal structures. This workshop offers an introduction to the background, principles, opportunities, and limitations of SEMs. These issues are illustrated using the lavaan package (latent variable analysis) that is run within the free software platform R. Lavaan has recently become a serious competitor to commercial software packages and is delivers almost everything a user needs to perform SEM. Participation to the course requires some basic knowledge of regression analysis, variances, covariances of variables, and inferential statistics. Knowledge of R is not necessary.

Course topics cover:

  • A short treatment of causality (the counter factual approach) and introduction to causal models and their illustration with path diagrams / causal graphs.
  • The principle behind estimating parameters and basis for evaluation the adequacy of the model (e.g., chi-square test) including Wright’s path tracing rules and Pearls d-separation.
  • Treatment and modeling of latent variables and the connection to theoretical constructs.
  • Explanation of the lavaan syntax and exercises (modeling own data / models of the participants is appreciated).
  • Reasons for misfitting models, evaluation, diagnostics, and re-specification.
  • The problem of endogeneity and the valuable role of instrumental variables in SEMs.

Required packages to be installed:

  • psych
  • car
  • Hmisc
  • MASS
  • QuantPsyc
  • Boot
  • Mnormt
  • Pbivnorm
  • quadprog
  • simsem
  • lavaan

You have to register for the 8th International Research Workshop to participate in this course.

Questionnaire Design

Institution: see Organisers & Acknowledgements

Programme of study: International Research Workshop

Lecturer: Dr. Timo Lenzner (Gesis – Leibniz Institute for the Social Sciences)

Date: Monday, 29/09/14 – Wednesday, 01/10/14 from 14.30-18.00 h

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents:

The objective of this course is to give participants a thorough grounding in the psychological processes involved in answering survey questions and to introduce them to principles that can be applied to write effective survey questions. It covers the general principles of questionnaire design, question wording and construction of answer formats, special issues faced in writing factual, attitudinal and sensitive questions, and an introduction to various methods of questionnaire pretesting. Sessions combine lectures with practical exercises and discussion.

Please note that the course does not cover the psychometric principles of item or scale development. The course does not require any previous knowledge.

Recommended literature and pre-readings:

  • Krosnick, J. A. & Presser, S. (2010). Question and Questionnaire Design. In P. V. Marsden & J. D. Wright (Eds.), Handbook of Survey Research (2nd ed.) (pp. 263-313). Bingley: Emerald Group Publishing Limited.
  • Fowler, Floyd J., Jr. and Carol Cosenza (2008). “Writing effective survey questions”, in: De Leeuw, Edith D., Joop J. Hox and Don A. Dillman (eds.), The international handbook of survey methodology, Mahwah, NJ: Lawrence Erlbaum, pp. 136-160. (http://joophox.net/papers/SurveyHandbookCRC.pdf)
  • Schaeffer, Nora Cate and Stanley Presser. 2003. “The Science of Asking Questions.” Annual Review of Sociology, 29: 65-88.

You have to register for the 8th International Research Workshop to participate in this course.