Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

methods@manchester Summer School: Factor Analysis for Integrated Mixed Methods Research

image
Dates:3 July 2017 - 7 July 2017
Times:13:00 - 12:30
What is it:Course
Organiser:methods@manchester
Who is it for:University staff, Adults, Alumni, Current University students, General public
Speaker:Wendy Olsen, Stephanie Thomson
See travel and contact information
Add to your calendar

More information

  • Booking
  • methods@manchester website

Other events

  • In category "Course"
  • By methods@manchester

This summer school helps you apply Factor Analysis to make a scale or index using statistical software. There is a part focus on mixed-methods research contexts. We cover these topics: – factor analysis using confirmatory methods, latent factor analysis within structural equation modelling; methods of using qualitative data to strengthen an argument and make the analysis rigorous and transparent. The school offers unique new training, developed specifically for this outlet.

This one-week event involves 28 hours of contact time of which about 5-6 hours are computer practicals led by the experienced tutor, Wendy Olsen, using SPSS and STATA.

The computer practicals for factor analysis include applications of SPSS AMOS which has a graphical interface (nice pathway diagrams), STATA SEM.

There is 7/16 overlap with a mixed-methods training stream so that you can see how interviews or discourse analysis fit well with factor anlaysis of attitudes. This also helps with comparative cross-country studies of attitudes and norms.

The summer school provides a good underpinning to your statistical and survey research.

The course involves lectures, active learning and a project. Each day up to two lectures and one ‘lectorial’ occur. A lectorial is active learning led from the front with guided small group work. The project is individually done and will lead to the creation of a poster display with hot links. Participants may want to bring their own laptops (but it’s optional).

The organisation of the course involves lectures, active learning and a project. Each day up to two lectures and one ‘lectorial’ occur. A lectorial is active learning led from the front with guided small group work. The project is individually done and will lead to the creation of a poster display with hot links. Participants may want to bring their own laptops (but it’s optional).

Course Objectives

The aims of the course are:

To examine seminal papers using mixed methods and discuss rigour in comparative research. To introduce the idea of measurement error and measurement models, and contrast confirmatory with exploratory factor analysis. To use STATA and SPSS AMOS, and some students may use MPLUS. Both STATA and SPSS AMOS have graphical windows for planning a factor analysis model. To examine latent factor histograms and scattergrams, and interpret them from sociological and social-theory angles. To apply factor analysis. To Practice making presentations using students’ own data and well-constructed logical arguments. To practice debating-format and/or panel discussion about knowledge construction. Course team

This course will be presented by Wendy Olsen.

Wendy Olsen joined Manchester University in 2002 and is Professor of Socio-Economics. She worked till 2014 both for the Institute for Development Policy and Management (IDPM) and in the Discipline of Social Statistics. She is Director of the MSc in Social Research Methods & Statistics degree programme in Social Sciences (http://documents.manchester.ac.uk/DocuInfo.aspx?DocID=24892). She has previously taught sociology, development economics, and research methodology. She teaches statistics and PhD research methodology as well as computerised qualitative data analysis, the comparative method, the case-study method, and topics in political economy (e.g. child labour in India). She has release from some of her teaching duties due to research projects (see . She is fostering the use of mixed-methods research among statistical and other researchers.

Course requirements

Students will gain most if they already tried regression or used microdata once or twice before. They should already be familiar with SPSS or STATA but not necessarily both. Full guidance will be given about using the software. Sample programmes will be supplied, making it easier to use the software.

Recommended reading

Crompton, R. and Harris, F. (1998) 'Explaining women's employment patterns: 'orientations to work' revisited.' British Journal of Sociology, 49, 1, 118-149.

Crompton, R., M. Brockmann and C. Lyonette. 2005. "Attitudes, Women's Employment and the Domestic Division Of Labour: A Cross-National Analysis in Two Waves." Work, Employment and Society 19(2):211-231.

Fuller, B., Caspary, G., Kagan, S.L., Gauthier, C., Huang, D.S.C., Carroll, J. and McCarthy, J. (2002). 'Does maternal employment influence poor children's social development?' Early Childhood Research Quarterly 17: 470-497.

Hoffman, D.M and L.S. Fidell. 1979. "Characteristics of Androgynous, Undifferentiated, Masculine, and Feminine Middle-Class Women." Sex Roles 5(6).

Basic Texts

Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (2005). Multivariate Data Analysis. New Jersey: Prentice-Hall.

Loehlin, J. C. (2004). Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis, 4th ed. NY: Psychology Press.

Muthén, B. (1984). 'A General, Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Factors'. Psychometrika 49.

Intermediate Text:

Kaplan, D. (2008). Structural Equation Modeling: Foundations and Extensions. London: Sage.

Booking

Booking is now open for the Summer School 2017.

To pay be credit card please visit our e-store

To pay by invoice (institutions only) please complete the booking form on the methods@manchester website and email a copy of a Purchase Order to methods@manchester.ac.uk

If you are based at the University of Manchester and your fee is being paid by your department please complete the booking form and contact us to arrange an internal journal transfer.

Speakers

Wendy Olsen

Role: Professor

Organisation: University of Manchester

  • https://www.research.manchester.ac.uk/portal/Wendy.Olsen.html

Stephanie Thomson

Role: Research Fellow

Organisation: University of Oxford

  • https://www.spi.ox.ac.uk/people/profile/thomson.html

Travel and Contact Information

Find event

Humanities Bridgeford Street
Manchester

Contact event

Mark Kelly

0161 275 0796

mark.kelly@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events