# Module Directory

## IA127-3-FY-CO:Statistics for Psychology

The details
2019/20
Essex Pathways
Colchester Campus
Full Year
Foundation/Year Zero: Level 3
Current
Thursday 03 October 2019
Friday 26 June 2020
30
02 June 2020

Requisites for this module
(none)
(none)
(none)
(none)

(none)

## Key module for

BA C807 Psychology (Including Foundation Year),
BSC C812 Psychology (Including Foundation Year),
BSC C813 Psychology with Cognitive Neuroscience (Including Foundation Year)

## Module description

The module covers the statistical skills needed to proceed to any degree course within the Department of Psychology. The syllabus covers statistical methods including data collect and analysis, distributions and hypothesis testing. The associated work in classes and lab sessions develops the skills used to solve relevant problems, with classwork and assignments being set and full solutions provided where appropriate as part of the feedback process.

## Module aims

The aims of the module are:

- To ensure that students from a wide range of educational backgrounds have an understanding of statistical methods needed within the study of Psychology

- To develop the ability to acquire knowledge and skills from lectures, classwork exercises, and appropriate software and application of theory to a range of ongoing tasks

- To develop students' ability to use these skills in their subsequent degree course

- To equip students with the techniques needed to collect and analyse data, calculate statistical measures and to clearly structure their solutions and conclusions

- To give students the ability to present and interpret data clearly and unambiguously, both by hand and with the use of Excel software

- To give students an understanding of data distributions and the ability to set up hypothesis tests

## Module learning outcomes

On successful completion of this module a student is expected to be able to:

1. Understand sampling methods for data collection;br>
2. Understand and calculate basic statistical measures of centrality and spread;br>
3. Understand and interpret basic statistical graphs, including using Excel to analyse data and produce various graphs;br>
4. Understand the normal distribution and be familiar with other common distributions;br>
5. Understand basic probability;br>
6. Understand basic statistical inference and able to conduct simple hypothesis tests.br>
7. Understand correlation and simple regression.br>

## Module information

Syllabus

- Data collection: methods to ensure data is unbiased.

-Descriptive statistics: interpreting data, measures of location and dispersion.

- Displaying data: Constructing and analysing histograms and other graphs.

- Distributions: normal distribution and other common distributions.

- Inference Statistics: hypothesis testing and statistics tables.
- Using Excel to carry out statistical computations, create graphs and interpret data.
.
- Measures of dispersion and central tendency, probability, correlation and regression.

- Practical application of statistics to Psychology related problems.

Assessment

100% coursework
Pass mark: 40%

Formative assessment

Students engage in completing weekly worksheets, online assignments and receive in class and online feedback.

Summative assessment

- Take home test (20%)

The test will cover statistics concepts taught in the first six lectures of the module. These include: data collection and sampling methods, descriptive statistics, measures of centrality and dispersion, and data transformation.

- Online lab assignments (30%)

Marks obtained by completing online assignments throughout the year.

- Report (50%)

The report consists of a written project in which students have to organise a data set, analyse the data based on the research questions and report their findings.

Reassessment strategy

Failed coursework - Resubmit a piece of coursework (take home test, 24 hours) which will be marked as 100% of the new module mark. The reassessment task will enable the relevant learning outcomes to be met.

## Learning and teaching methods

The module is delivered via a weekly one-hour lecture, a weekly two-hour class and a one-hour computer lab for all students. There are a total of 20 weeks of teaching, with two weeks of revision lectures and classes in the Summer Term.
All lecture notes and exercises are placed on Moodle for easy student access. Listen Again is also used as part of learning support in which students can reviews the recordings at a later date.
Learning and Teaching Methods (face to face delivery)
The module is delivered via a weekly 1 x 50-minutes lecture, 1 x 2-hour class and 1 x 50-minute lab session. In total, there are 20 weeks of teaching, with two weeks of revision lectures and classes in the Summer Term.
All lecture notes and worksheet exercises are placed on Moodle prior to the teaching event for easy student access. Solutions to worksheet exercises are also placed on Moodle after the teaching event is concluded to aid with revision. Listen Again is used as part of the learning support, so that students can review the recordings at a later date.
Learning and Teaching Methods (online delivery)
The module runs is delivered via a weekly 1 x 50-minute lecture (webinar) and 1 x 2-hour class. Students are expected to complete the Moodle based online assignments/activities in their own individual study time. Support for this is provided through academic support hours and email. In total, there are 20 weeks of teaching, with two weeks of revision lectures and classes in the Summer Term.
All lecture notes and worksheet exercises are placed on Moodle prior to the teaching event for easy student access. Solutions to worksheet exercises are also placed on Moodle after the teaching event is concluded to aid with revision. Webinar recordings are used as part of the learning support, so that students can review the recordings at a later date.

## Bibliography

This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

## Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   In-class Test     25%
Coursework   Participation    12.5%
Coursework   Written Project Report    62.5%
Exam  1440 minutes during Summer (Main Period) (Main)

Coursework Exam
40% 60%

### Reassessment

Coursework Exam
40% 60%
Module supervisor and teaching staff
KateSmith (catsmith@essex.ac.uk) or 01206 874564

Availability
No
No
No

## External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 344 hours, 134 (39%) hours available to students:
204 hours not recorded due to service coverage or fault;
6 hours not recorded due to opt-out by lecturer(s).

Further information
Essex Pathways

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