MAT-22306 Quantitative Research Methodology and Statistics

Course

Credits 6.00

Teaching methodContact hours
Tutorial32
Practical30
Independent study0
Course coordinator(s)dr. JA Hageman
Lecturer(s)dr. ir. ARH Fischer
dr. JA Hageman
dr. LMW Akkermans
drs. LCP Keizer
Examiner(s)dr. JA Hageman
dr. ir. ARH Fischer

Language of instruction:

English.

Assumed knowledge on:

MAT-15303 Statistics 1 + MAT-15403 Statistics 2 or MAT-14303 Basic Statistics or MAT-15403 Statistics 2

Continuation courses:

AEP-21306 Econometrics and YRM-50806 Quantitative Data Analysis: Multivariate Techniques.

Contents:

Designing 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 successful completion of this course students are expected to be able 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 multiple choice questions (100%).

Literature:

- book: Discovering Statistics using IBM SPSS statistics by Andy Field, 5th edition ISBN 978-1-5264-1951-4
- Study Guide (version January 2019), available at the WUR-shop.

ProgrammePhaseSpecializationPeriod
Restricted Optional for: MMEManagement, Economics and Consumer StudiesMScA: Business Studies3WD, 4WD
MMEManagement, Economics and Consumer StudiesMScB: Consumer Studies3WD, 4WD
MOAOrganic AgricultureMScC: Double Degree Agroecology3WD, 4WD
MOAOrganic AgricultureMSc3WD, 4WD
MFNForest and Nature ConservationMScA: Policy and Society3WD
MFNForest and Nature ConservationMScB: Management3WD, 4WD
MESEnvironmental SciencesMSc3WD, 4WD
MPSPlant SciencesMScC: Natural Resource Management3WD, 4WD
MBFBioinformaticsMSc4WD
MCLClimate StudiesMScE: Climate, Society and Economics3WD, 4WD
MFQFood Quality ManagementMSc3WD
MCHCommunication, Health and Life SciencesMScB: Health and Society3WD