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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. Página 1 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) 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. Página 2 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 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) Página 3 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.) Objective test of theory knowledge and practicals: 8 points (80%) Practicals: 2 points (20%) FURTHER INFORMATION Add the relevant text as appropriate. Página 4