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SPSS - LEVEL I 16.09 | Análise Estatística
16.09 | Statistical Analysis
Requirements
No Requirements

SPSS (Statistical Package for the Social Sciences) is considered to be the best statistical software in treating information from questionnaires,
although it is very used also in other areas.

CONTENTS
OBJECTIVES
Module 1 - SPSS General View Module 4 - Univariate Analysis
At the end of this training, trainees will be able to effectively - Windows - Frequency Distribution Charts
perform all tasks related with this statistics software in - Menus - Available Graphic Representations
what concerns database description; insertion of data into - Tools Bar - Formatting Graphic
the respective database and elementary and univariate data
treatment, namely in what concerns current measures of Representations
descriptive statistics. Module 2 - Basic Operations - Quantitative Variables
- Help - Measures of Location and
- Opening a Data File Central Tendency
ADDRESSEES - Saving a Data File - Arithmetic Mean

Professionals from the areas involved or interested in - Defining Variables - Mode
research activities that include collection and treatment of - Variable Name - Median
data. - Variable Type - Measures of Location and
- Labels of Variable and Non-Central Tendency
Respective Values - Percentiles and Deciles
- Definition of Missing Values - Measures of Dispersion
- Definition of Variable - Total Amplitude
Presentation - Inter-quartile Amplitude
- Introduction and Edition of - Variance and Standard
Data Deviation
- Data Introduction - Variation Coefficient
- Data Edition
- Replace a Value for Other in Module 5 - Exploring and Crossing
a Cell Variables
- Change Value of a Cell - Exploring Variables
- Delete and Copy Cells - Resume of a Distribution
INFORMATION - Insert New Cases - Histogram
Hours: 30h - Insert New Variables - Stem-and-Leaf Graphic
Time: See Training Plan - Search Information - Boxplot Graphic
Material Delivered: Training Support Material - Search a Case - Crossing Variables
Training: Attendance Required - Search Data - Percentages of Line and
Regime: Working Hours / Post-Working Hours Columnn
Module 3 - Data Transformation - Graphic Visualisation
- Calculating a Variable
- Recoding Values
- Recoding in the Same Variable
METHODOLOGIES - Recoding in a Different

Methodologies used by the trainer will be Variable
expository, demonstrative and/or active, favouring
the latter whenever possible.

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