Quantitative Methodologies in Consumer Sciences

Code:

CA4004

Acronym:

CA4004

Keywords
Classification	Keyword
OFICIAL	Agrarian Sciences

Instance: 2013/2014 - 1S

Active?	Yes
Responsible unit:	Department of Geosciences, Environment and Spatial Plannings
Course/CS Responsible:	Master in Consumer Sciences and Nutrition

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M:CCN	25	Plano de estudos do Mestrado em Ciências do Consumo e Nutrição - 2013_2014	1	-	6	42	162

Teaching language

Portuguese

Objectives

Students are expected to be able to apply data analysis techniques in concrete contexts of consumer sciences. Perform the techniques and analyze appropriate information obtained through the computer application IBM SPSS Statistics (SPSS).

Learning outcomes and competences

At the end of the semester the student is expected to be able to use SPSS autonomously, in particular at the following levels:

-Data entry and encoding of variables;

-Application of descriptive statistics to summarize the data;

-Application of parametric comparison tests and non-parametric, with interpretation of results.

Working method

Presencial

Program

Introduction to data analysis. Sampling and data logging. Variable coding and frequency tables. Descriptive statistics (statistics, tables and graphs). Foundations of statistical inference. Parametric and non-parametric tests tests (testing for normality, testing for homogeneity of variance, t-tests, Chi-square test, Mann-Whitney test, Kruskal-Wallis, Wilcoxon test and the Friedman test). Analysis of variance – ANOVA: 1 factor 2, repeated measures factors. Multiple comparison tests: LSD, Tuckey and Bonferroni. Introduction to multivariate analysis: principal components factor analysis introduction to SPSS and its use: presentation of the various screens, data entry, coding of variables, descriptive statistics (statistics, graphs and tables), parametric and non-parametric comparison tests, encoding of multiple response questions, factor analysis and assessment of internal consistency.

Mandatory literature

Maroco João; Análise estatística. ISBN: 972-618-331-6

Teaching methods and learning activities

Theoretical exposition of the techniques and software, complemented by practical lessons using personal computer, where students apply the techniques in SPSS, with presentation and discussion of the information produced. In addition to the examples presented, illustrating the application of the techniques and the use of SPSS, students will need to perform exercises in the classroom, with direct application of apprehended knowledge. Additionally, students will need to develop the analysis work, followed by a final design, where a wide range of statistical techniques must be applied, independently, using the SPSS. Part of the work will be distributed, discussed and presented through the internet, based on distance learning platforms. Reports shall be drawn for classroom work and for the final project.

Software

IBM SPSS Statistics

Evaluation Type

Distributed evaluation without final exam

Assessment Components

designation	Weight (%)
Participação presencial	5,00
Prova oral	25,00
Trabalho escrito	70,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Elaboração de projeto	12,00
Frequência das aulas	30,00
Total:	42,00

Eligibility for exams

The frequency of discipline requires the completion of at least 75% of practical lessons, and taking advantage of two thirds of the work practices.

Calculation formula of final grade

The final grade will be calculated on the basis of the following elements: 5% Attendance and participation in practical classes, 25% practical works and reports, 70% final project (25% - oral presentation at the 21st of december, 45% - report)

Special assessment (TE, DA, ...)

Only for the Final project, demanding a new project report and new oral presentation

Classification improvement

Only for the Final project, demanding a new project report and new oral presentation

Observations

Naresh Malhotra; Marketing Research: An Applied Orientation, 5e , Prentice Hall, 2008.

João Maroco; Análise Estatística com o PASW Statistics (ex-SPSS), ReportNumber, 2010.

Pedrosa, António Carvalho e Sílvio Gama; Introdução computacional à probabilidade e estatística. [Porto] : Porto Editora, cop. 2004