# Treatment of data

liepr1003  2020-2021  Louvain-la-Neuve

Treatment of data
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
4 credits
15.0 h + 15.0 h
Q2
Teacher(s)
Bleyenheuft Yannick;
Language
French
Main themes
The main subjects to meet these objectives will be: - Construction and interpretation of graphs - Descriptive analysis of data (concept of sample, indicators of average and dispersion, interpretation of level of service ...) - Search for library materials, database consultation and construction of a thematic bibliography. This introduction to the processing and analysis of scientific data will be made from specific materials to EDPH or KINE.
Aims
 At the end of this learning unit, the student is able to : 1 After this educational entity, the student will have sufficient knowledge to correctly interpret scientific indicators used in the formation of BA. Specifically, it correctly interpret graphical representations of data and key indicators of descriptive statistics. It may also have access to sources of scientific information (consultations of databases, references ...)
Content
Description:  Theoretical: o Different types of data, o Concepts of population and sample o absolute frequency tables, cumulative frequency of relative frequencies and cumulative relative frequencies, o Representation of data in tables and graphs, o Key indicators of central tendency, o Key indicators of dispersion, o Concept of probability, o normality distribution o Hypothesis homoscédasticité, o parametric tests and nonparametric tests, o Comparisons of 2 and several medium and 2 or more rows means (for dependent or independent samples) (concept of post-hoc) o Comparisons of proportions (and conditions of use of different tests), o Relations between continuous variables, calculation of correlation and interpretation of correlation coefficients, o Coefficient of determination o Relationship between variables.  Practical: o Discover the Excel software - Mathematical functions, logical, dates - hours, statistics and text, - Representation of data in tables or graphs. o Discovery of statistical software SPSS - Links between SPSS and Excel (import data) - Documentation files * sav, - Descriptive analysis (variables [frequency] and continuous variables [central tendency and dispersion]), - Graphical representations as SPSS, - Splitsing file - Selection of topics (select cases) - Verification of normal distribution of variables - Comparison of two independent samples ? Parametric Comparisons ? Comparisons nonparametric - Comparison of more than two independent samples ? Parametric Comparisons ? Comparisons nonparametric - Comparing two dependent samples ? Parametric Comparisons ? Comparisons nonparametric - Analysis of correlations (parametric and nonparametric) Methods:  lectures by audience  exercises supervision in computer classes or independently.
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Auditorium teaching + practical sessions online
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Multiple choice questionnaire (correct answer +1, no answer 0, wrong ansxer -0.5). In addition, in june, a bonus of 1 point can be gained through  uploading on time 3 out of 4 practical reports fully correct.
Other information
Interaction prerequisite courses with 1st Tray Evaluation Review written or oral and / or elements of continuous assessment Syllabus support and / or book (s) Encadrement Holder (s) and / or assistant (s), help (s) by any student (s) monitor (s) Other Content to articulate with the Master's course: "Statistical and Research Methodology motricity"
Online resources
moodle
Teaching materials
• Syllabus LIEPR 1003
• diaporama des cours (en ligne sur moodle)
Faculty or entity
FSM

#### Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Bachelor in Physiotherapy and Rehabilitation

Bachelor in Motor skills : General