README file for The Impact of Hyperlinks, Skim Reading and Perceived Importance when Reading on the Web
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This dataset contains the data and r scripts from two experiments that make up a paper submission on the topic. 

Across 2 experiments, we utilised importance ratings and eye tracking methodology to explore how hyperlinks, perceived importance and skimming affect reading behaviour. 

Experiment 1 - Explores the impact of topographical cues on perceived importance of sentences in a Web-like environment. The impact of number of links in a sentence, position of sentence on page and sentence length were investigated.

Experiment 2 - Explores the impact of these importance ratings and the task of skimming on eye movement behaviour when reading the passages in a Web-like environment. 


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In Experiment 1, sentences were coded for their position on the page (sentence number), length of sentence (in characters), number of links present in sentence and whether sentence had links (0= NO, 1= YES), to see their effects on perceived importance of each sentence.

The r scripts sit alongside the data to produce the appropriate statistical tests, LMMs. Located in Experiment 1 Data.zip.

rate_DT.csv - is the data for rScript_ratinganalysis

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Experiment 2 had participants read these passages and were analysed using the importance ratings from Experiment 1.

Passages were viewed either reading normally or were skim read. Reading measures were either across the whole sentence or focussed on the last word of the sentence.

The r scripts sit alongside the data to produce the appropriate statistical tests, LMMs. Located in Experiment 2 Data.zip

For more information see Fitzsimmons, Weal & Drieghe (2019), where stimuli were taken from.

findlastwordiaX - Is the data for the rScript_firstpassanalysis
FINALcompresults - Is the data for the rScript_comprehensionanalysis
SUPERFINALSENTENCEFINAL - Is the data for the rScript_wrapupanalysis