I'm doing a research in linguistics. the study is on synthetic speech rate, the participants (30) listened to the speech rate at 4 levels (sentences in normal rate, then accelerated at 10%, then 20%,then 30%) each level had 5 recordings which the participants had to evaluate it's speed at 7 point Likert scale.
the aim of the study is to find out if individuals perceive the normal speech rate as slow or not? also what speed rate would they perceive as the "most normal"?
I figured it's a repeated measures since the same participant will listen to all 4 speeds "levels?" of the stimuli. but I couldn't figure out how to run it or how to organize the data in SPSS
please find attached the SPSS file
So if I'm understanding your question correctly, it seems like your outcome variable is just the speed evaluation and this is determined by 5 different recordings at each speed. Firstly, you'd want to aggregate the response scores by the Audio_speed by the Participant so that each participant only has 4 mean scores (one per level) rather than 20 different observations (5 per level; unless you have specific reason to separate the recordings, but from the dataset it doesn't look like the specific recording is labeled).
Once you do that, you want to run a repeated measures ANOVA through SPSS (https://statistics.laerd.com/spss-tutorials/one-way-anova-repeated-measures-using-spss-statistics.php) where you set up 4 levels (again, one per level).
SPSS handles repeated measures ANOVA in wide format rather than long format (what you have now) so you would need to adjust that (here's a tutorial: https://www.youtube.com/watch?v=MWwsd5orXDw).
Once you have that, the statistics laerd tutorial will walk you through everything else, including what to click and interpreting the results.
For repeated measures, the HLM is preferred with between-person variables at level 2 and within-person variables at level 1. Hope it would be helpful.
Best wishes
Zhang Zhenduo
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