Undergraduate Module Descriptor

SSI2005: Data Analysis in Social Science 2

This module descriptor refers to the 2019/0 academic year.

Module Content

Syllabus Plan

Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:

Topic 1: Review of Inferential Statistics

Topic 2: Introduction to Bivariate Regression

Topic 3: Estimation with Regression

Topic 4: Goodness of fit and R-squared

Topic 5: Confidence Intervals and Hypothesis Tests

Topic 6: Residuals and Outliers

Topic 7: Dummy Variables and Interaction Terms

Topic 8: Violations of Assumptions

Topic 9: Multiple Regression I

Topic 10: Multiple Regression II

Topic 11: Model Selection Methods

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching Activities	Guided independent study	Placement / study abroad
26.5	123.5	0

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

Category	Hours of study time	Description
Scheduled Learning and Teaching activity	16.5	11 x 1.5 hour sessions of lectures and demonstration
Scheduled learning and teaching activity	10	10 x 1 hour computer lab sessions
Guided independent study	50	Time spent in computer lab undertaking data analysis for exercises.
Guided independent study	73.5	Completing required reading for lectures and computer lab sessions; exam preparation

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).

How this Module is Assessed

In the tables below, you will see reference to 'ILO's. An ILO is an Intended Learning Outcome - see Aims and Learning Outcomes for details of the ILOs for this module.

Formative Assessment

A formative assessment is designed to give you feedback on your understanding of the module content but it will not count towards your mark for the module.

Form of assessment	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Lab assignments	4 practical exercises using statistical software to solve problems based on material covered in lecture	3-4, 6-8, 10-11	Written

Summative Assessment

A summative assessment counts towards your mark for the module. The table below tells you what percentage of your mark will come from which type of assessment.

Coursework	Written exams	Practical exams
60	40	0

...and this table provides further details on the summative assessments for this module.

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Mid term examination	40	50 minutes	1-9, 11	Written
Final assignment: Guided Data Analysis Essay	60	Equivalent to 3,000 words in total	1-9	Written

Re-assessment

Re-assessment takes place when the summative assessment has not been completed by the original deadline, and the student has been allowed to refer or defer it to a later date (this only happens following certain criteria and is always subject to exam board approval). For obvious reasons, re-assessments cannot be the same as the original assessment and so these alternatives are set. In cases where the form of assessment is the same, the content will nevertheless be different.

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Mid-Term Examination	Final Examination (50 minutes)	1-9, 11	August/September reassessment period
Final Assignment	A data analysis exercise that has students conduct their own data analysis	1-9	August/September reassessment period

Re-assessment notes

Where you have been referred/deferred as a result of failing or not completing the final assignment to enable you to pass that component of the module’s summative assessment, then you will be asked to undertake an alternative written assignment with a data analysis component. This new written assignment will constitute 60% of the final module mark.