Assessment

Continous Assessment Activities

1. Evaluation Model

This course does not offer a unique assessment system. Additionally, it requires active student participation and considers regular attendance as a way of integrating the different learning activities.
To pass the course, a minimum final grade of 5 is required, calculated as the weighted average of the 6 evaluation activities. See the weight distribution of each activity in the table above.

For the calculation of this weighted average, the following criteria will be applied based on course participation:

• Students who do not attend class regularly (attendance and/or participation below 70%): The average will only be calculated if the grade for each and every part is at least 5.

• Students who attend class regularly (attendance and/or participation above 70%): The average will be calculated if the grade for each and every part is at least 4.

1a. Evaluation Activities for the Qualitative Block (50%)

(A) Attendance at Scheduled Practical Sessions (5%)
During the classroom sessions, group activities will be carried out to apply the theories discussed in class, with the aim of putting into practice the theoretical and methodological tools presented during the session.

(B) Written Test (20%)
A theoretical exam in which the student will be asked to demonstrate their understanding and familiarity with the main theories of qualitative data analysis.

(C) Group Research Assignment (25%)
Qualitative material collected during the first methodological courses will be used to analyze it through a simple thematic analysis. The definition of a coding system for the text and its relation to the scientific debate the student wishes to contribute to will be evaluated, as well as the ability to comprehend the text.

1b. Evaluation Activities for the Quantitative Block (50%)

(A) Course Follow-up (5%)
This consists of two types of activities:

• In-Class Activities: In each session, a brief test will be conducted with questions on the content covered in class or the reading materials assigned for the session. Failure to answer this test will be considered as lack of follow-up.

• Out-of-Class Activities: At the end of each session, a series of exercises and problems will be given that must be submitted before the next class. Failure to submit them will be considered as lack of follow-up.

(B) Written Test (25%)
A practical exam in which the following will be evaluated:

1. Mastery of bivariate statistical concepts (both descriptive and inferential) and their application using RStudio software.

2. The ability to work correctly with a spreadsheet.

(C) Group Assignments (20%)
Two group assignments must be completed with a maximum of 5 people per group:

• Excel Applications (7%): This will involve applying the Excel functionalities explained in the sessions. It represents 35% of the total grade for the block.

• Hypothesis Testing in RStudio (13%): Continuation of the research started in the first semester in the course "Quantitative Methods for Social Research", using bivariate statistical techniques for data analysis.

1c. Consideration of Non-Assessable Students

In the evaluation report, students will be marked as "non-assessable " if they have not completed any evaluation activities or if they have only submitted the first research assignment (either from the qualitative or quantitative block).

2. Retakes

During the re-sit period, students who do not pass (<5) any of the individual tests or group assignments may present themselves for compensatory assessment.

Follow-up activities and/or attendance are excluded from the re-sit process.

3. Carrying Grades from Previous Years

Students who have passed any block in previous convocations MUST contact the responsible teaching staff at the beginning of the course.

Under no circumstances will partial credits for any of the two blocks be accepted for validation.

4. Plagiarism Policy

It is reminded that, at the moment of signing the enrollment, the following commitment was made:
“I DECLARE that the Universitat Autònoma de Barcelona has informed me that (...) plagiarism is the act of disclosing, publishing, or reproducing a work or part of it in the name of an author different from the original, which constitutes the appropriation of ideas created by another person without explicitly acknowledging their origin. This appropriation constitutes a violation of the intellectual property rights of that person, which I am not authorized to infringe under any circumstances: exams, assignments, practices... Therefore, I COMMIT to respecting the regulatory provisions regarding intellectual property rights in relation to teaching and/or research activities carried out by the UAB in the studies I am undertaking.”

Exams: In case any student is detected copying unauthorized content, all individuals involved will be automatically suspended without the possibility of recovery.

Assignments: In cases of plagiarism in the writing of assignments, each case will be assessed individually, and in extreme cases, direct suspension without the option for recovery may be applied. In writing, both human and technological assistance is considered plagiarism.

5. Use of Artificial Intelligence

The use of Artificial Intelligence (AI) technologies is permitted in this course exclusively for support tasks, such as literature or information searches, text correction, translations, and support in the use of software packages.

Students must clearly identify which parts were generated using AI, specify the tools used, and include a critical reflection on how these influenced the process and the final outcome of the activity.

Lack of transparency in the use of AI will be considered a breach of academic honesty and may result in partial or total penalties to the activity grade, or more serious sanctions in severe cases.