(Short Course) Introduction to Quantitative Data Analysis and Reporting Skills for Psychology

Male student on computer using equipment

Course details

Year of entry

2024, 2025

Duration

3 weeks

Institution Code

G53

Location

Blended Learning

Why choose? this course?

This course will introduce you to various quantitative analysis and ways to report the results using APA style formatting within Psychology. The course content will include a broad range of statistical tests such as t-tests, ANOVAs, correlations and regression analysis.

You will also:

  • have an overview of the theory behind the tests and will then learn how to conduct different types of analysis in SPSS
  • gain insight into the decisions behind using each of the analyses that relate to different research questions
  • learn valuable skills of how to report the analyses in line with APA style format used within Psychology
  • have experience of carrying out different types of statistical tests in statistical analysis software and have opportunity to reflect and ask questions during the online session at the end of the week

This course will:

  • provide a space to learn about data analysis and an opportunity to test out these newly learned skills prior to completing research methods modules in the main degree

Key course features

  • Experience and have practice of statistical software packages that will be relevant to data analysis for Psychology such as SPSS
  • Obtain an understanding of theory behind statistical tests and how this translates into statistical analysis
  • Gain an overview of different types of statistical analysis and why we use them in Psychology
  • Learn how to report findings from statistical analysis in Psychology in line with APA format
  • Study online for free
  • Make your way through pre-recorded content each week at your own pace and have opportunity to discuss queries and knowledge with your peers and tutors during an online session at the end of the week

 

 

What you will study

  • The recorded sessions and learning resources will be released on Monday, at the beginning of the week
  • You are expected to attend Teams session for a seminar to discuss and engage in learning the weekly topic, and this will be at the end of the week on Friday
  • You will be expected to use the resources to engage in self-directed activities as advised by the module leader/teacher in the weekly recordings. This will ensure student engagement with the topic and learning, which will be further discussed in the seminar session to consolidate and clarify
  • The course will cover a broad range of statistical tests such as t-tests, ANOVAs, correlations and regression analysis. You will have an overview of the theory behind the tests and will then learn how to conduct different types of analysis in SPSS and the decisions behind using each of the analyses that relate to different research questions. Additionally, you will learn valuable skills of how to report the analyses in line with APA style format used within Psychology
  • You will have experience of carrying out different types of statistical tests in statistical analysis software and have opportunity to reflect and ask questions during the online session at the end of the week
 

Entry requirements & applying

Applicants for MSc Psychology Conversion students and existing BSc (Level 4 going into 5, level 5 going into 6) and MSc Psychology Conversion students at Wrexham University.

To book this course, please email PostGrad.Psychology@glyndwr.ac.uk

 

Teaching & Assessment

  • A portfolio of assessment to assess the following:
    • 1. Awareness of different research designs and analysis
    • 2. Awareness of using analysis tools such as SPSS or Jamovi for different analysis
  • The pass grade for the course is 40%
  • This is a three- week course and you are expected to engage with the course content during this period
 

Career prospects

 

 

Fees & funding

FREE

 

Programme specification

 

 

Accommodation

 

 

Course dates

27th February – 17th March 2023

Assignment due on 20th March 2023

 

If you would like to find out more about future dates for this course, register your interest