MAT-22306 Quantitative Research Methodology and Statistics

Course

Credits 6.00

Teaching methodContact hours
Tutorial32
Practical30
Independent study
Course coordinator(s)dr. JA Hageman
Lecturer(s)dr. G Gort
drs WMJG Baak
dr. EJH Korendijk
dr. ir. ARH Fischer
dr. JA Hageman
drs. LCP Keizer
dr. G Dik
Examiner(s)dr. ir. ARH Fischer
dr. JA Hageman

Language of instruction:

English

Assumed knowledge on:

MAT-14303 Basic Statistics.

Continuation courses:

AEP-21306 Econometrics and YRM-60306 Quantitative Data Analysis: Multivariate Techniques.

Contents:

Designing a quantitative research:
- types of research questions for surveys and experiments in Social Sciences;
- sampling procedures;
Statistical analysis:
- estimation, confidence intervals and testing hypothesis;
- cross-tables;
- regression analysis: introduction, meaning parameters, parameter estimation, t-test for one linear combination of the parameters, F-tests for linear restrictions;
- analysis of variance: one-way, factorial designs;
- factor analysis: scale development, loadings, interpretation;
- practical work using SPSS.

Learning outcomes:

After this course the student is expected to:
- comprehend the basic ideas of statistical inference, study design and data collection relevant to surveys and experiments that are typical for the social sciences;
- understand the backgrounds, the goals, assumptions and features of the data analysis techniques;
- be able to determine the appropriate statistical procedure, given the description of the study design, the research question and the type of data;
- be able to carry out the needed analyses for the discussed situations and interpret the results in terms of the problem;
- be able to perform independently data analysis techniques with the computer package SPSS.

Activities:

- in an introductory lecture relevant research questions from the field of social sciences will be discussed;
- during the interactive lectures problem sets are worked out and discussed;
- during the computer practicals students learn how to analyse data using SPSS;
- every week they get a home assignment, which is embedded in a case study.

Examination:

Written open book exam with open and multiple choice questions (100%).

Literature:

- book: Discovering Statistics using IBM SPSS statistics by Andy Field, 4th edition ISBN-13: 978-1-4462-4918-5.
- Study Guide (version January 2014), available at the WUR-shop.

ProgrammePhaseSpecializationPeriod
Restricted Optional for: MMEManagement, Economics and Consumer StudiesMScB: Consumer Studies3WD, 4WD
MMEManagement, Economics and Consumer StudiesMScC: Economics, Environment and Governance3WD, 4WD
MMEManagement, Economics and Consumer StudiesMScA: Management Studies3WD, 4WD
MOAOrganic AgricultureMScC: Double Degree Agroecology3WD, 4WD
MOAOrganic AgricultureMSc3MO
MFNForest and Nature ConservationMScB: Management3WD, 4WD
MFNForest and Nature ConservationMScA: Policy and Society3WD, 4WD
MESEnvironmental SciencesMSc3WD, 4WD
MBFBioinformaticsMSc4WD
MCLClimate StudiesMSc3WD
MCLClimate StudiesMSc3WD, 4WD
MIDInternational Development StudiesMScC: Communication, Technology and Policy4WD
MIDInternational Development StudiesMScA: Sociology of Development4WD
MIDInternational Development StudiesMScB: Economics of Development4WD
MCHCommunication, Health and Life SciencesMScB: Health and Society3WD