Course Leader: Rui Alberto Ferreira Jesus
Home Institution: CESPU - Cooperativa de Ensino Superior, Politécnico e Universitário, CRL, Portugal
Course pre-requisite(s): Basic computer literacy
This course presents the usual work cycle when treating the data collected during a research project. To do so, there will be presented several statistical tools in a well-known software package – SPSS from IBM – with a strong emphasis in how to interpret those statistic results and connect them to the research objectives that guided the project.
By the end of this course, students will be able to do and interpret a statistical analysis of the data collected during a research project. From the construction of a database to hold the data, to performing a descriptive statistical analysis and then, an inferential statistical analysis, students will be able to use the statistical package SPSS, from IBM, to respond to the research questions of a scientific project.
A1. Data Types and Scales of Measurement
B1. What are the dependencies of data analysis methods?
B2. Descriptive Statistics data analysis techniques
B3. Inferential Statistics data analysis techniques
D1. Descriptive Statistics vs. Inferential Statistics
D2. Univariate descriptive statistics
D3. Bivariate descriptive statistics
D4. Inferential statistics
D4a. Central Limit Theorem
D4b. How to conduct a Hypothesis Test
D4b1. Tests of normality of a variable (Shapiro-Wilk and Kolmogorov-Smirnov)
D4b2. Tests to measure the correlation between variables (of Pearson and of Spearman)
D4b3. Tests to measure differences between proportions (Binomial and Chi-square)
D4b4. Tests to measure differences between means
D4b4a. One-sample t-test and Wilcoxon signed-rank test
D4b4b. Two independent samples (independent samples t-test and Mann-Whitney test)
D4b4c. Three or more independent samples (one way ANOVA and Kruskal-Wallis test)
D4b4d. Two paired samples (paired samples t-test and Wilcoxon signed-ranks test)
D4b4e. Three or more paired samples (Friedman test)
The main instructional approach that will be used during the course is Direct Instruction. This model includes "I do" (instructor), "We do" (instructor and students), "You do" (student practices on their own with instructor monitoring).
For this course I will need a computer room (ideally with one PC for each student), with the SPSS software installed (version 27 or later), and a page in your learning management system (LMS), to provide the course’s didactic materials to the students (if you don't have an LMS, I can use my own).
The evaluation will consist of quizzes and practical assignments to be done in SPSS.