Università degli Studi di Urbino Carlo Bo / Portale Web di Ateneo


SOFTWARE AND STATISTICAL ANALYSIS
SOFTWARE E ANALISI STATISTICA

A.Y. Credits
2023/2024 4
Lecturer Email Office hours for students
Desire' Carioti Thursday 3-4 pm (to book via e-mail)
Teaching in foreign languages
Course with optional materials in a foreign language English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language.

Assigned to the Degree Course

Psychology - Sciences and Techniques (L-24)
Curriculum: PERCORSO COMUNE
Date Time Classroom / Location
Date Time Classroom / Location

Learning Objectives

Acquisition of theoretical and practical knowledge for managing databases and software for data analysis. At the end of the course, the student should be able of creating autonomously a dataset, manage variables, and, after uploading it on statistical software, running descriptive analyses.

Program

The program will be organized as following:

  • A short introduction to the universal calculator.
  • The concept of "Software".
  • Data, type of data, and data treatment.
  • Variables, measure scales, and the concept of scoring.
  • Boolean logic operator and logical applications in the Excel program. 
  • Excel and data organization: uploading, coding, and manipulation of variables.
  • R studio: uploading a dataset and managing a dataframe.
  • Jamovi: uploading a dataset and managing a dataframe.
  • Descriptive Statistics in Jamovi.
  • Data representations and plots (Istograms, boxplot, etc...) in Jamovi.
  • Reflections and debate about data science and machine learning in the actual daily life.
  • General revision of topics treated in the course.
  • Bridging Courses

    Nothing.

    Learning Achievements (Dublin Descriptors)

    - Knowledge and understanding: having acquired the fundamental concepts of Boolean logic and their application in Excel and statistical software. Having acquired knowledge regarding data science.

    - Applying knowledge and understanding: having acquired the ability to manipulate variables and create a dataframe, managing it on the main software studied.

    - Making judgments: having acquired the ability to use knowledge and concepts to describe the results of the main descriptive statistics used in the psychological field.

    - Communication skills: having acquired the specific language for describing the variables and results of descriptive statistics in the psychological field.

    - Learning skills: Upon completion of the course the students should have acquired good autonomy in the management and manipulation of the variables within a dataframe. They should also have to be autonomous in the interpretation of descriptive statistics and graphs.

    Teaching Material

    The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

    Supporting Activities

    Nothing


    Teaching, Attendance, Course Books and Assessment

    Teaching

    Lectures and practical lessons on PC. It is advisable to come to lessons with your own PC.

    Innovative teaching methods

    Debate

    Problem Solving

    Attendance

    no attendance requirement

    Course books

    Pastore, M. (2015). Analisi dei dati in psicologia. Il mulino. ISBN: 978-88-15-25898-4. (Cap. 1-2-3)

    Assessment

    The student will have to complete the first part of the exam through individual exercises and answer some theoretical questions in writing during the regular session.

    Disability and Specific Learning Disorders (SLD)

    Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

    To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

    Additional Information for Non-Attending Students

    Teaching

    Lectures and practical lessons on PC.

    Attendance

    no attendance requirement

    Course books

    Pastore, M. (2015). Analisi dei dati in psicologia. Il mulino. ISBN: 978-88-15-25898-4. (Cap. 1-2-3)

    Assessment

    The student will have to complete the first part of the exam through individual exercises and answer some theoretical questions in writing during the regular session.

    Disability and Specific Learning Disorders (SLD)

    Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

    To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

    « back Last update: 31/07/2024

    Il tuo feedback è importante

    Raccontaci la tua esperienza e aiutaci a migliorare questa pagina.

    Posta elettronica certificata

    amministrazione@uniurb.legalmail.it

    Social

    Università degli Studi di Urbino Carlo Bo
    Via Aurelio Saffi, 2 – 61029 Urbino PU – IT
    Partita IVA 00448830414 – Codice Fiscale 82002850418
    2024 © Tutti i diritti sono riservati

    Top