Teaching code

4S02437

Credits

9

Coordinator

Margherita Pasini

Language

Italian

Scientific Disciplinary Sector (SSD)

M-PSI/03 - PSYCHOMETRICS

Courses Single

Authorized

Moodle Seminars 0

The teaching is organized as follows:

Learning objectives

GENERAL LEARNING OBJECTIVES. *To know and understand research and assessment methods concerning the psychological phenomena characterizing individuals and groups. *To apply knowledge about psychological measurement instruments to the assessment of individuals, to the evaluation of learning needs, for training and development of individuals along the whole life course, of groups, of organisation, and communities.
SPECIFIC LEARNING OBJECTIVES. *To develop some fundamental concepts and critical knowledge concerning the research process in psychological sciences, focusing on research methods considering a qualitative and quantitative approach. *To help students in developing skills useful to critically examine and evaluate the scientific communication in psychology, with a focus on organizational research. *To allow students to carry out a simple research project.

Prerequisites and basic notions

Being a first year, first semester exam, there are no specific requirement different from those required for access to the bachelor course.

Program

TEACHING AND LEARNING METHODS
Contents will be delivered through both lectures and laboratory practicals.
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LECTURES
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- The Science of Psychology: qualitative and quantitative methods.
- The Scientific Method.
- Ethical Issues in the Conduct of Psychological Research.
- Descriptive Methods (Observation; Survey Research).
- Experimental Methods (Independent Groups Designs, Repeated Measures Designs, Complex Designs).
- Quasi-Experimental Designs.
- Validity in psychological research.
- Data description and data analysis in qualitative and quantitative approach.
- How to read and how to communicate research results.
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LABORATORY PRACTICALS
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- Library Research Methods in Psychology.
- Managing a scientific paper.
- Data collection and Computer-Assisted Data Entry. How to manage a dataset.
- Computer-Assisted Data Analysis, descriptive statistics. Illustrate and summarize the data.
- Correlational analysis, Regression analysis.
- Computer-Assisted Data Analysis, inferential statistics. Null Hypothesis Significance Testing (NHST); Comparing Two Means; univariate ANOVA.

Bibliography

Didactic methods

The course includes a part of lessons and a part of laboratory practicals.

Learning assessment procedures

The same examination will be applied to students who attend or not attend the lessons. The exam comprises two parts: Part 1, a multiple-choice test, with 32 questions, and Part 2, with 3 open-ended questions.
Contents.
Part 1: Basic knowledge. This part comprises 32 closed-ended questions, designed to assess the student's understanding of theoretical contents in Psychological Research Methods. Items found on this exam all the topics described in the program. To address this part it will be useful to study the suggested handbooks (or other similar ones).
Part 2: Applied knowledge. This part comprises three open-ended questions (very short answers required), designed to assess student’s competence concerning some technical and methodological issues of the discipline, even statistical ones. The starting point will be a scientific communication in the field of psychology (generally a short report, in English language, describing a psychological research). The questions will concern method, data analysis, communication of results. It will be required to be able to read numeric tables, figures and graphs.

Evaluation criteria

Maximum evaluation for each part will be 32 over 30, and each part will be evaluated separately. For Part 1, scoring will be: correct answer=1; missing answer=0, wrong answer=-0.2. Total score will be the sum of each single item scoring. For Part 2, scoring will be max 10 for each question, with 2 additional points, for an excellent overall performance. Final scoring depends on the two evaluations, with different weights: 4 for Part 1 and 1 for Part 2. Final grade will be computed as following: Final grade ={[(Part 1 scoring x 4) + (Part 2 scoring x 1)] / (30 x 5)} x 30. Single part’s scoring cannot be used separately: finale grade is one.

Criteria for the composition of the final grade

Scoring in the lab final test (see lab part of the program) will be added (max 3 points) to the written examination score (only for evaluations more than 18 over 30), to reach the final grade. This part is not mandatory.

Exam language

Italiano

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