Research Design

Table of Studies (four representative examples)

Literariness denotes relation to questions of literariness: I: Illuminates; D: Degree of literariness; C: Contrasts literary and non-literary.
Level denotes kind of response, where appropriate: I: Information-driven; S: Story-driven; P: Point-driven; R: Relevance to self.
Empirical topic: CD Cultural difference; EX expert readers; F feeling; LC literary causation; LF literary frame; RE reader empathy; S story aspects.

Dimension        
Authors Miall & Kuiken 1994 Seilman & Larsen 1989 Zwaan 1991 Cupchik, Oatley, & Vorderer 1998
Text Modernist stories Story and expository text 6 newspaper and novel extracts Story excerpts
Text variable Foregrounding     Character emotion vs. descriptive
Situation variable     Newspaper or literary perspective Spectator vs. identification set
Reader variable Literary competence      
Measures Reading times, ratings for strikingness, feeling Remindings, and questionnaire Reading times; recognition memory Questionnaire on emotions
Example finding High foregrounded passages take longer to read Twice as many actor-role remindings elicited by story Literary perspective enhanced memory for surface features Fresh emotions more frequent than emotion memories, and occur later in story
Categories        
Literariness I I, C C I
Level of response   R   S, R
Empirical topic LC RE LF F

Literariness
denotes relation to questions of literariness: I: Illuminates; D: Degree of literariness; C: Contrasts literary and non-literary.
Level denotes kind of response, where appropriate: I: Information-driven; S: Story-driven; P: Point-driven; R: Relevance to self.
Empirical topic: CD Cultural difference; EX expert readers; F feeling; LC literary causation; LF literary frame; RE reader empathy; S story aspects.


Research Design: Examples

Decide on a text feature or condition of reading (the independent variable). Hypothesize what effect this may have on readers (the dependent variable); predict the nature of the effect; decide on a model for collection and analysis of data (predict outcome in each of the empty cells in the tables below). What data would actually be examined in each cell?

Seilman & Larsen 1989. Comparison of influence of two texts on type of reminding.

dependent v / independent > Literary text Non-literary text
actor self remindings    
observer self remindings    
communicated remindings    

Miall & Kuiken, 1994. Effect of embedded text features on segment reading times and ratings.

dependent v / independent > phonetic grammatical semantic Foregrounding
reading times        
strikingness ratings        
feeling ratings        

Note also: 3rd dimension given by experienced / non-experienced readers.

Analysis: Are you:

Kuiken & Miall, 2001. Analysis of think-aloud protocols of readers (Miall, Literary, 30-31). Not an "experimental" study.

constituent analysis (matrix of occurrences, many variables)
< analysed / emergent v
(cluster analysis: constituents x story segments x readers)
reading resistance
emotional engagement
story-line uncertainty
aesthetic coherence


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Document prepared February 8th 2007