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SUBJECT DESCRIPTION
DESCRIPTION AND EXPLORATION OF DATA IN PSYCHOLOGY
MODULE
SUBJECT-MATTER
YEAR
SEMESTER
ECTS CREDITS
TY
PE
Basic training
Statistics
(Health Sciences)
1
1
6 ECTS credits
Ba
sic
TEACHING STAFF





Emilia I. de la Fuente Solana (M1 and M2)
Luis Manuel Lozano Fernández (M1 and M2)
Cristina Vargas Pecino (M3)
Ignacio Martín Tamayo ( T1 and T2)
Macarena de los Santos Roig (T3)
CONTACT DETAILS FOR TUTORIALS (Postal
address, phone number, e-mail, etc.)
Dpto. Psicología Social y Metodología
de las Ciencias del Comportamiento,
Facultad de Psicología.
Offices number 325, 326 y 356.
E-mail address:
[email protected],
[email protected],
[email protected],
[email protected],
[email protected]
UNDERGRADUATE DEGREE PROGRAMME IN WHICH THE SUBJECT IS TAUGHT
OTHER PROGRAMMES IN WHICH THE
SUBJECT COULD BE TAUGHT
Psychology
MINIMUM REQUIREMENTS AND/OR RECOMMENDATIONS (if applicable]
Students should have a basic command of Statistics
BRIEF DESCRIPTION OF COURSE CONTENT (AS PUBLISHED BY THE SPANISH MINISTRY OF EDUCATION)
Descriptors:
Description and exploration of data, Probabilistic Models of Psychological Processes, Sampling, Inference
and Generalization.
Contents:
Introduction to Measurement Theory. Data as a result of measurement in Psychology. Types of data.
Description and exploration of a data set. Multivariate description of a data set. Introduction to
probabilistic models: discrete and continuous models. Sampling in research planning. Generalization
and Inference. The problem of parameter estimation in research data analysis. Formulating and
contrasting hypotheses: statistical significance versus relevance.
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GENERAL AND SPECIFIC COMPETENCES






To
To
To
To
To
To
be able to identify the different types of psychological variables
be able to distinguish between different levels of measurement
know how to describe and explore a data set
identify the probabilistic models used in Psychology
recognize the basic principles of sampling and Statistical inference
interpret statistical significance
OBJECTIVES (EXPRESSED AS EXPECTED OUTCOMES OF TEACHING)
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
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To
To
To
To
understand
understand
understand
understand
the different types of psychological variables and measurement scales
the description and exploration of a data set
the basic principles of sampling
some of the basic concepts of Statistical inference
DETAILED DESCRIPTION OF SUBJECT CONTENT
THEORY:
 Unit 1. Measurement in Psychology. Research in Psychology. Psychological variables and
their measurement. Measurement scales. The properties of measurement scales.
 Unit 2. Codification, organization and graphic representation of data. Underlying concepts:
constant, variable, modalities, frequency, proportion and percentage. Methodological
classification of data. Classification according to the level of measurement of the data.
Statistical classification of data. Organization of information. Codification and preparation of
data for analysis. Graphic representation of variables.
 Unit 3. Univariate exploration and description. Exploration of data. Position statistics.
Properties. The concept of dispersion. The importance of studying variability in research.
Dispersion indexes. Graphic representation of variability. Statistics of form. Types of score.
 Unit 4. Bivariate and multivariate description of data. Association of variables. Correlation.
Regression Analysis.
 Unit 5. Introduction to Probability Calculus. The concept of probability. Conditioned
prbability. Bayes' theorem. Odds-ratio
 Unit 6. Probability models. The discrete random variable. Types and characteristics of
discrete models of probability. Binomial model. Poisson Model. The continuous random
variable. Types and characteristics of continuous models of probability. Normal model. Chisquared distribution. Student's t distribution. Fisher's F distribution – Snedecor. Approximation
of models of probability.
 Unit 7. Sampling in psychology research Probabilistic sampling. Other types of sampling. The
concept of sampling distribution. Sampling distribution of basic statistics.
 Unit 8. Introduction to Statistical inference. Parameter estimation. Problems studied by
Statistical inference: parameter estimation and contrasting statistical hypotheses. Statistic
and estimator. Score estimation. Estimation by confidence intervals. Basic elements in a
contrast of hypotheses. Research hypotheses and statistical hypotheses. Errors, potency and
effect size in a contrast of hypotheses. Statistical significance. Confidence interval.
Calculating confidence intervals.
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PSYCHOLOGY PRACTICALS:
1. Constructing a database. Codification according to type of data. Preparing data for analysis.
2. Descriptive statistics: frequency table, graphs and percentages. The notion of a contingency table.
Stem and leaf diagrams. Descriptive indexes of a variable. Box-plot graphs.
3. Bivariate and multivariate description. Descriptive indexes of two variables. Variance and covariance
matrix. Partial and multiple correlation analysis. Linear regression analysis.
4. Probability Frequentist Interpretation. Law of Frequency stability. Objective and subjective
probability. Conditioned probability.
5. Discrete random variables. Practical calculation of probabilities in discrete models. Moments of the
distribution. Simulated distributions.
6. Discrete random variables. Practical calculation of probability in continuous models. Moments of the
distribution. Simulated distributions.
7. Identification of sample types. Calculating sample size. Simulated sampling and re-sampling as a
means of improving data analysis.
8. Parameter estimation: confidence intervals for parameter estimation.
RECOMMENDED LINKS
Add the relevant text as appropriate.
TEACHING METHODS
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Lectures
Practicals
Individual and Group Tutorials
COURSE PROGRAMME
First
semester
Classroom activities
(N.B.: To be modified according to the teaching methods
proposed for the subject)
Topics
Theory
(hours)
Practicals
and hours
Week 1
Unit 1.
2
1. (1h)
Week 2
Unit 2.
2
1. (1h)
Week 3
Unit 3.
2
2. (1h)
Week 4
Unit 3.
2
2. (1h)
Week 5
Unit 4.
2
3. (1h)
Week 6
Unit 4.
2
3. (1h)
Week 7
Unit 5.
2
4. (1h)
Presentations
and seminars
(hours)
Examin
ations
(hours)
Non-classroom activities
(N.B.: To be modified according to the
teaching methods proposed for the
subject)
Individual
tutorials
(hours)
Group
tutorials
(hours)
Student
study
(hours)
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Groupwor
k (hours)
Week 8
Unit 6.
2
5. (1h)
Week 10
Unit 6.
2
5 and 6.
(1h)
Week 11
Unit 6.
2
6. (1h)
Week 12
Unit 7.
2
7. (1h)
Week 13
Unit 8.
2
8. (1h)
Week 14
Unit 8.
2
8. (1h)
Week 15
Unit 8.
2
8. (1h)
Total hours
ASSESSMENT (ASSESSMENT INSTRUMENTS, CRITERIA AND RELATIVE PERCENTAGE OF FINAL MARK, ETC.)
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
Objective test of theory knowledge and practicals: 8 points (80%)
Practicals: 2 points (20%)
FURTHER INFORMATION
Add the relevant text as appropriate.
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