Free

Block 8: Quantitative Research Methods in the Social Sciences

Event Information

Share this event

Date and Time

Location

Location

Canterbury Christ Church University

Rooms TBD

Canterbury

United Kingdom

View Map

Event description

Description

PLEASE NOTE THAT ROOM INFORMATION FOR ALL BOOKINGS IS FOUND ON THE RDP BOOKINGS OUTLOOK CALENDAR. WHEN YOU ENROL IN A SESSION YOU WILL RECEIVE AN OUTLOOK CALENDAR INVITE. please contact rdpbookings@canterbury.ac.uk if you do not receive an invitation.

S1 Experimental vs. Correlational Designs - Dr Sabina Hulbert - Thursday 10th January 2019, 1.30pm-4.45pm

  • Compares the basic principles of the two approaches to quantitative research design and reviews some of the fundamental types of experimental designs

S2 Hypothesis Testing and Inferential Statistics - Dr Sabina Hulbert - Thursday 17th January 2019, 1.30pm-4.45pm

  • It will explain the principles of Null Hypothesis and Alternative Hypothesis testing within the contexts of inferential statistics. We will link concepts of point estimates, probability levels and sampling distribution of the means.

S3 Exploring Correlations and Testing Differences Between Means - Dr Sabina Hulbert - Thursday 31st January 2019, 1.30pm-4.45pm

  • It will provide a clear and in depth understanding of two different but equally fundamental ways to test statistical hypotheses: what is the association between two 4concepts/variables? And what is the difference between two observed sample means?

S4 Pilot studies and feasibility trials - Professor Doug MacInnes - Thursday 14th February 2019, 9am-10.30am

  • Appreciate the reasons for undertaking a pilot or feasibility trail
  • Understand the methodological framework of a pilot or feasibility trial
  • critically evaluate the main parts of a pilot or feasibility trial process
  • differentiate between the practices and principles of a pilot or feasibility trial compared to a full scale trial.

S5 Questionnaire Design - Dr Sabina Hulbert - Thursday 14th February 2019, 1.30pm-4.45pm

  • It will review the most common principles and good practices used when designing a questionnaire. It will outline the steps necessary for item generation and analysis. You will also have a chance to experience the Qualtrics online platform for designing surveys and experiments.

S6 Anova and Multiple Regression - Dr Sabina Hulbert - Thursday 28th February 2019, 1.30pm-4.45pm

  • It will address the statistical and conceptual elements of Analysis of Variance and Multiple Regression. You will be able to understand the similarities between the two analyses.

S7 Factor Analysis; Power Analysis - Dr Sabina Hulbert - Thursday 14th March 2019, 1.30pm-4.45pm

  • In the first part of the session, we will learn what is factor analysis and how we can perform it. In the second part we will discuss the foundations of Power Analysis and will use Gpower to perform some computations.

S8 Resampling Statistics - Dr Sabina Hulbert - Thursday 28th March 2019, 1.30pm-4.45pm

  • A simple and easy to understand alternative to Inferential Statistics. We will explore the logic behind Resampling statistics and we will use a free to download Excel Add-in to experience resampling simulations by hand.

S9 ROC curves - Professor Doug MacInnes - Thursday 25th April 2019, 9am-10.30am

  • Understand the basic principles of Receiver Operating Curve analyses and how to perform them

S10 Structural Equation Models - Dr Sabina Hulbert - Thursday 25th April 2019, 1.30-4.45pm

  • It includes both a theoretical explanation of Structural Equation Models as well as the opportunity to test some models using the AMOS software.

S11 Quantitative Content Analysis - Professor Agnes Gulyas - Tuesday 12th March, 1pm-2.30pm

  • A general introduction focusing on quantitative applications.

S12 An Introduction to the Statistical Computing Software 'R' - Sarah Strohmaier -Tuesday 21st May 2019, 9.15am-1pm

This 3-hour workshop is an introduction to the statistical computing software R. This workshop will be based in one of the computer rooms for you to have a go at working with R yourselves. The session will include a general introduction to R as well as R Studio, the interactive development environment for R. Learn how to import packages into R, introduce you to the principles and practices of organising your data to import it into R, manage data in R and how to type different functions in code. In this session, you will also learn how to run simple correlations, plot graphs and figures in R and how to find out the different functions available for specific packages.

In the workshop, we will mainly be working with the ‘metafor’ and ‘ggplot’ packages, which focus on meta-analysis and graphics. However, if you have any questions relating to another package in R, please email Sarah in advance at sarah.strohmaier@canterbury.ac.uk and she will try to incorporate this into the session.

Please note that our sessions are available to Christ Church University staff and students only. You must register for an event with a CCCU email account to attend.

Share with friends

Date and Time

Location

Canterbury Christ Church University

Rooms TBD

Canterbury

United Kingdom

View Map

Save This Event

Event Saved