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**APOLOGIES FOR CROSS POSTING**

Booking is now open for Cathie Marsh Institute Short Courses for 2017-18.
Coming up in September:


*         Fuzzy Set Qualitative Comparative Analysis (fsQCA)
8th September 2017, Humanities Bridgeford Street

Qualitative Comparative Analysis is a systematic method of studying data on multiple comparable cases from about N=8 through to large datasets of N=10,000 etc.
The QCA methods firstly involve casing, i.e. delineating cases; secondly organising a systematic data  matrix (we will show these in NVIVO and in Excel); thirdly examining sets of cases known as configurations; fourth interpreting these in terms of 'necessary cause' and 'sufficient cause' of each major outcome of interest.  We demonstrate the fsQCA software for QCA. A fuzzy set is a record of the membership score of a case in a characteristic or set.  A crisp set is a membership value of 0 (not in the set) or 1 (fully in the set), and thus is a simplified measure compared with a fuzzy set. Fuzzy sets or crisp sets, and combinations, can be used in QCA.

All the permutations of the causal factors, known as X variates, are considered one by one.  We test whether X is necessary, or sufficient, or both, for an outcome Y.  We then augment the standard measures of 'consistency'.  We show that one can generate both within-group and sample-wide consistency levels for testing sufficient cause.
This one-day training course will attract those doing case-study research, those using the comparative research approaches, and those who want to extend their skills in QCA and fuzzy analysis from beginner to intermediate levels. It will suit qualitative researchers with no prior experience, as well as quantitative and mixed-methods researchers; all are welcome.

For full details and booking information, click here<http://www.cmist.manchester.ac.uk/study/short/intermediate/faqca/>.



*         Practical Skills for Data Analysts
25th September 2017, Humanities Bridgeford Street

This course will show participants how to use statistical analysis software, in this instance SPSS. In the course, participants will be introduced to the SPSS environment as well as useful key concepts (such as cases, variables, values, and levels of measurement) to perform basic descriptive data analysis. A key component of the course involves getting familiar with basic SPSS data analysis commands in hands-on sessions. By the end of the day, participants will be familiar with the software; know how to open a data file, enter data, and do basic data manipulations; and be able to produce simple descriptive statistics, one- and two-way tables, as well as simple graphs.
This is a foundation course that does not require any previous experience of SPSS and that will provide participants with the appropriate background to progress to other CMIST courses, particularly Introduction to Data Analysis 1<http://www.cmist.manchester.ac.uk/study/short/introductory/intro-to-data-analysis-1/> and Introduction to Data Analysis 2<http://www.cmist.manchester.ac.uk/study/short/introductory/intro-to-data-analysis-2/>.

For full details and booking information, click here<http://www.cmist.manchester.ac.uk/study/short/introductory/practical-skills-for-data-analysis/>.


Please also see our full range of Cathie Marsh Institute Short Courses<http://www.cmist.manchester.ac.uk/study/short/list/> for 2017-2018.

We look forward to seeing you soon.


Short Courses - Cathie Marsh Institute | G9 Humanities Bridgeford Street | University of Manchester | Manchester | M13 9PL
Tel 0161 275 1980



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