Basic Statistical Modelling course with IBM SPSS

Presentation:

IBM SPSS Statistics is a powerful statistical software. It offers a set of tools that allows us make a wide variety of statistical analyzes, via pull-down menus or programmed with the command syntax language.

Its ease of use, flexibility and adaptability make IBM SPSS Statistics software accessible to users with different abilities. In addition, the organization of the menus allows us to correctly identify the analysis to be performed, as well as the speed in obtaining the results.

This course introduces the basic concepts of statistical modelling. Emphasis will be placed on the implementation and interpretation of the results in IBM SPSS Statistics.

This course will be conducted online - Streaming , through Teams platform in two-hour daily sessions. Attendees of this course must have their own access to the software IBM SPSS Statistics and a internet during the course.

Course program:

Sesión 1 y 2: Introducción a la Regresión Lineal Simple

• Introducción
• Ajuste recta mínimos cuadrados
• Inferencia en regresión lineal
• Descomposición de la variabilidad
• El coeficiente de determinación
• Análisis de los residuos
• Tipo de residuos
• Transformaciones
• Valores influentes

Sesión 3 y 4: ANOVA

• Introducción
• Información y variabilidad
• Descomposición de la variabilidad
• Sumas de cuadrados medios
• Prueba F y tabla Anova
• Separación de medias
• Ajustes por multiplicidad de contrastes

Sesión 5 y 6: Model Lineal General

• Introducción
• Ejemplo GLM
• Interpretación de resultados
• Regresión y GLM
• Anova y GLM
• Estimación de parámetros
• Valores pronosticados
• Ejemplo Anova, Regresión y GLM
• Validación del modelo
• Otros conceptos
• Metodologia GLM

Sesión 7 y 8: Regresión Logística

• Introducción
• Modelo de regresión logística múltiple
• Ajuste del modelo
• Interpretación de los coeficientes
• Bondad del ajuste del modelo

Destinatarios:

The Basic Statistical Modelling course with IBM SPSS Statistics is addressed to university students, teachers and professionals who want to acquire knowledge of Statistics, and who wish to introduce themselves to the use of this software to apply it in their area of knowledge and work.

The course will be carried out in virtual format in real time.

Previous requirements:

• Previous knowledge of programs for processing databases and spreadsheets.
• Knowledge of basic descriptive statistics and its use through the IBM SPSS Statistics software, or having completed the Introduction to Basic Statistics Course with IBM SPSS Statistics.

Teachers:

• Anabel Blasco - Training Area Coordinator SEA, UAB.
• Ester Boixadera - Statistical Consultant SEA, UAB.
• Oliver Valero - Consulting Area Coordinator SEA, UAB.
• Ana Vázquez - Statistical Consultant SEA, UAB.

Organization details:

The Basic Statistical Modelling course with IBM SPSS Statistics will be held on February 2024, from 10:00 to 12:00, the days 5, 7, 9, 12, 14, 16, 19 and 21.

The course duration is 16 hours.

For the realization of the course, the minimum number of participants is 10 and maximum is 20.

Link to pre-register course form

Once we received your form we will send an email to confirm that either you have an assigned place or you are on the waiting list.

Registration fees (2024):

Concept	UAB fee	External fee
Registration (before January 21st)	217,35 €	380,88 €
Registration (after January 21st)	317,35 €	480,88 €

UAB fee: UAB members and students of any university.

The rate/fee is assigned by the person/institution/company that made the payment.

Discounts:

• Special discounts for unemployed people, with the apply or renew of the application for unemployment benefits.
• Special discounts for groups of the same company. Send e-mail to s.estadistica@uab.cat.

Not cumulative discounts.

Payment details:

Once the pre-registration is completed you will receive an email informing of the details for the registration payment or if you're in waiting list.

Once the payment of the course has been made there will be no refund unless there are circumstances beyond one’s control.