The overarching objective of this course is to acquire the academic skill to analyze and interpret quantitative data in order to answer a research question.|
To achieve the above objective, this course covers the whole process of data-analysis: (a) choosing the right analysis, (b) data exploration, (c) data analysis, (d) interpreting analyses and (e) correctly reporting analyses.
Upon a succesfully completion of this course, students are able to:
- use statistical software such as SPSS to recode and compute new variables, and to generate various types of graphs
- describe and explain the rationale behind null hypothesis testing and its limitations
- explain the distinction between categorical and continuous data, and explain and check the assumptions of parametric and non-parametric tests
- conduct descriptive, exploratory and inferential statistical techniques: t-test, one way and factorial ANOVA, correlation, reliability analysis, linear regression and Chi-square tests, non-parametric tests
- interpret the outcomes of statistical analyses, and report the results accurately and accessibly (following the current APA style)
- analyze a given research objective and question, and make a motivated choice of the appropriate statistical test
This course provides an introduction in basic statistical analyses using statistical software such as SPSS or R. The course is built around the book `Discovering Statistics using SPSS’, which makes use of many examples and provides step-by-step explanations of how to approach your data; making statistics as entertaining as possible. This course will cover descriptive analyses, correlation, regression, t-tests, one-way ANOVA, factorial ANOVA, and chi-square analysis. You will learn what these analyses do and how to run them using statistical software. At the end of the course you will be able to test whether data support a given hypothesis or not and to write a report on the analysis according to APA style.|
Not only for your own research, but also to understand the results sections of empirical articles and to be able communicate critically about this type of research, will you need statistics. Knowledge of statistics is an important asset for the labor market, as jobs in the field of Information and Communication Sciences and beyond oftentimes require the analysis and interpretation of data.
The final grade for the course consists of the results of the exam (50%) and the results of two written assignments (25% each, 50% in total). Students have to pass each assignment to be able to successfully complete the course. Students who have to revise an assignment, will not receive a grade higher than 6 for the revised version.
You need statistical software if you want to make the assignments for this course at home. In both the lectures and practice units, we use SPSS Statistics 18 or higher. You can buy this program via www.surfspot.nl
. For you own convenience you should make sure to have this program before the course starts.