The&#38;first&#38;stage&#38;of&#38;data&#38;analysis&#38;is&#38;therefore&#38;to&#38;find&#38;rela,onships&#38;within&#38;the&#38;en,re&#38;body&#38;of&#38;data,&#38;and&#38; this&#38;is&#38;the&#38;process&#38;by&#38;which&#38;data&#38;can&#38;become&#38;‘informa,on’.&#38;The&#38;way&#38;we&#38;find&#38;rela,onships&#38;in&#38;a&#38;set&#38;of&#38; data&#38;depends&#38;on&#38;whether&#38;it&#38;is&#38;qualita,ve&#38;or&#38;quan,ta,ve.&#38;&#38;

The&#38;first&#38;stage&#38;of&#38;data&#38;analysis&#38;is&#38;therefore&#38;to&#38;find&#38;rela,onships&#38;within&#38;the&#38;en,re&#38;body&#38;of&#38;data,&#38;and&#38; this&#38;is&#38;the&#38;process&#38;by&#38;which&#38;data&#38;can&#38;become&#38;‘informa,on’.&#38;The&#38;way&#38;we&#38;find&#38;rela,onships&#38;in&#38;a&#38;set&#38;of&#38; data&#38;depends&#38;on&#38;whether&#38;it&#38;is&#38;qualita,ve&#38;or&#38;quan,ta,ve.&#38;&#38;

Type Key%Rela,onships Qualita,ve: Are&#38;there&#38;key&#38;themes&#38;or&#38;categories&#38;of&#38;responses?

Quan,ta,ve: Where&#38;does&#38;the&#38;bulk&#38;of&#38;the&#38;data&#38;lie?&#38;(Central&#38;Tendency)&#38; How&#38;variable&#38;is&#38;the&#38;data?&#38;(Variance/Variability)

!!

Key relationships in qualitative data can be found by analysing responses for obvious themes (affinities). For example, consider responses to the following question:

Key%rela,onships%in%qualita,ve%data:%can&#38;be&#38;found&#38;by&#38;analysing&#38;responses&#38;for&#38;obvious&#38;themes&#38; (affini(es).&#38;For&#38;example,&#38;consider&#38;responses&#38;to&#38;the&#38;following&#38;ques,on.&#38;&#38;

Key%rela,onships%in%qualita,ve%data:%can&#38;be&#38;found&#38;by&#38;analysing&#38;responses&#38;for&#38;obvious&#38;themes&#38; (affini(es).&#38;For&#38;example,&#38;consider&#38;responses&#38;to&#38;the&#38;following&#38;ques,on.&#38;&#38;

What%did%you%hope%to%gain%from%a2ending%this% course?

“I7expected7to7be7able7to7understand7the7subject7 be&#62;er7and7be7able7to7explain7it7to7others” “be&#62;er7pay7at7work” “I7would7like7to7do7my7own7research7around7this”

The&#38;expecta,ons&#38;of&#38;students&#38;in&#38;this&#38;study&#38;would&#38;seem&#38;to&#38;cluster&#38;around&#38;some&#38;key&#38;themes&#38;and&#38;is&#38; •

The&#38;expecta,ons&#38;of&#38;students&#38;in&#38;this&#38;study&#38;would&#38;seem&#38;to&#38;cluster&#38;around&#38;some&#38;key&#38;themes&#38;and&#38;is&#38; therefore&#38;possible&#38;to&#38;group&#38;responses&#38;that&#38;share&#38;the&#38;following&#38;‘affini,es’:&#38;

“I7enjoy7working7with7people7who7are7into7the7 same7things7as7me”&#38;

* Most qualitative data can be grouped around 5 or 6 categories including one for ‘any others’ that are less frequently occurring and more diverse. •

therefore&#38;possible&#38;to&#38;group&#38;responses&#38;that&#38;share&#38;the&#38;following&#38;‘affini,es’:&#38; •

career&#38;devel pment&#38;

Sometimes, coding into simple categories such as “positive”, “negative” or “neutral” may be all that is required.

• career&#38;development&#38; • knowledge&#38;for&#38;knowledge’s&#38;sake&#38; • progression&#38;opportuni,es&#38;

knowledge&#38;for&#38;knowledge’s&#38;sake&#38; progression&#38;opportuni,es&#38;

• anything other*

The expectations of students in this study would seem to cluster around some key themes and is therefore possible to group responses that share the following ‘affinities’:

• • • • career development knowledge for knowledge’s sake progression opportunities social aspects of being a student Method e.g.&#38;Affinity&#38;Diagram

measures&#38;of&#38;average&#38; measures&#38;of&#38;range

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