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There are many ways of analysing continuous response data, and the approach is usually determined by the objectives on the researcher. Except on those rare occasions when one participant's continuous response is examined, analyses are usually applied to collections of responses to the same stimulus and are trying to do one of the following:

These analyses can also be categorised by their treatment of these sets of time series. Some collapse response over time, considering aspects of responses distributions rather than their serial nature. Others correlate the time series to relate the variance of some response values with that of stimuli or other responses. A few try to identify significant events or moments in these time series for targeted analysis. The list of analyses described in this wiki can be found on the Analysis Method Database page (see sidebar).

When analysing a collection of responses, these sets of time series often need some preparation, whether it be removing outliers, normalising responses or smoothing out noise. It is recommended to consider what data preparation is needed before trying to implement these analysis techniques. --Finn 18:11, 7 April 2011 (EDT)

Full title Uses analysis method Publication year
Frances1956electropolygraphiques Recherches électro-polygraphiques sur la perception de la musique. L’année psychologique Graphical study
Individual response analysis
Participant response distributions
19561,956
Nielsen1987musical Musical ‘Tension’ and Related Concepts Average time series
Graphical study
19871,987
Madsen1990differential Differential patterns of music listening: Focus of attention of musicians versus nonmusicians Duration analysis
Discrete analysis
19901,990
Namba1991assessment Assessment of musical performance by using the method of continuous judgment by selected description Counting time series
Duration analysis
19911,991
Capperella-Sheldon1992selfperception Self-perception of aesthetic experience among musicians and non-musicians in response to wind band music Individual responses
Analysis of Peaks
19921,992
Vailt1993play Prompts-Leitmotif-Emotion: Play It Again, Richard Wagner Section-wise distribution
Discrete analysis
19931,993
Madsen1993experience The experience of musical tension: A replication of nielsen’s research using the continuous response digital interface Average time series
Standard deviation time series
Graphical study
19931,993
Madsen1993empirical An empirical method for measuring the aesthetic experience to music Average time series
Graphical study
19931,993
Brittin1995comparing Comparing continuous versus static measurements in music listeners’ preferences Response-wise statistics
Discrete statistics
19951,995
Gregory1995continuous The Continuous Response Digital Interface: an analysis of reliability measures Time series correlation 19951,995
Fredrickson1995comparison A comparison of perceived musical tension and aesthetic response Average time series
Graphical study
19951,995
Krumhansl1996perceptual A perceptual analysis of mozart’s piano sonata k. 282: Segmentation, tension, and musical ideas Average time series
Counting time series
Time series correlation
Graphical study
19961,996
Madsen1997attention Focus of attention and aesthetic response Duration analysis
Discrete analysis
Time series correlation
19971,997
Krumhansl1997exploratory An exploratory study of musical emotions and psychophysiology Average time series
Participant-wise distribution
Factor analysis
19971,997
Madsen1997focus Focus of attention to musical elements in Haydn’s Symphony No. 104 Duration analysis
Discrete analysis
Time series correlation
19971,997
Lychner1998empirical An empirical study concerning terminology relating to aesthetic response to music. Average time series
Time series correlation
Graphical study
ANOVA
19981,998
Krumhansl1998topic Topic in music: An empirical study of memorability, openness, and emotion in Mozart’s string quintet in C major and Beethoven’s string quartet in A minor Intersubject correlations
Time series correlation
Average time series
19981,998
Madsen1998emotion Emotion versus tension in Haydn’s symphony no. 104 as measured by the two-dimensional continuous response digital interface Average time series
Time series correlation
Graphical study
19981,998
Fredrickson1999musical Effect of Musical Performance on Perception of Tension in Gustav Hoist’s First Suite in E-flat Time series correlation
Average time series
Graphical study
Section-wise comparisons
19991,999
Frego1999aural Effects of aural and visual conditions on response to perceived artistic tension in music and dance Average time series
Time series correlation
Discrete analysis
ANOVA
19991,999
Schubert1999measuring Measuring emotion continuously: Validity and reliability of the two-dimensional emotion-space Discrete analysis
Participant averages
Average time series
Time series correlation
19991,999
Iwanaga1999subjective Subjective and physiological responses to music stimuli controlled over activity and preference Factor analysis
ANOVA
Cross sectional distribution
19991,999
Schubert1999measurement Measurement and time series analysis of emotion in music Average time series
First order difference time series
Multiple regression
Linear modeling
Lag analysis
19991,999
Fredrickson2000perception Perception of tension in music: Musicians versus nonmusicians Average time series
Time series correlation
Graphical study
20002,000
Sloboda2001performance Tracking performance correlates of changes in perceived intensity of emotion during different interpretations of a Chopin piano prelude Average time series
Section-wise distributions
Discrete analysis
Time series correlation
Graphical study
20012,001
Duke2001summarizing Summarizing listener perceptions over time ANOVA
Response-wise distribution
Discrete analysis
20012,001
Schubert2002correlation Correlation analysis of continuous emotional response: Correcting for the effects of serial correlation Factor analysis
Critical correlation coefficient
First order difference
20022,002
Khalfa2002eventrelated Event-related skin conductance responses to musical emotions in humans SCR
Friedman repeated measures ANOVA
20022,002
Fredrickson2003comparison A comparison of music majors’ and nonmajors’ perceptions of tension for two selections of jazz music Average time series
Time series distribution
Graphical study
20032,003
Geringer2003tempo Gradual tempo change and aesthetic responses of music majors ANOVA
Cross-sectional average
Section-wise average
20032,003
Davis2003aesthetic Aesthetic Response to Choral Music: Response Comparisons of Performer-Participants and Non-Performer Respondents Response-wise statistics
Discrete statistics
20032,003
Schubert2004interrupted Introduction to Interrupted Time Series Analysis of Emotion in Music: The case of arousal, valence and points of rest Counting time series 20042,004
Schubert2004modeling Modeling perceived emotion with continuous musical features Average time series
First order difference time series
Multiple regression
Linear modeling
Lag analysis
20042,004
Vines2004performance Performance gestures of musicians: What structural and emotional information do they convey? Average time series
Functional Data Analysis
Functional smoothing
Graphical Study
20042,004
Korhonen2004modeling Modeling continuous emotional appraisals of music using system identification Average time series
Linear regression
Difference data
Response lag
20042,004
McAdams2004largescale Influences of large-scale form on continuous ratings in response to a contemporary piece in a live concert setting Average time series
Functional F test
Interrupted time series
Time series correlation
Functional first derivative
20042,004
Rickard2004intense Intense emotional responses to music: A test of the physiological arousal hypothesis Discrete analysis
Section-wise comparison
ANOVA
Longitudinal distribution
20042,004
Grewe2005chills How Does Music Arouse “Chills” ? Graphical study
Individual response analysis
20052,005
Timmers2006listeners Listeners’ emotional engagement with performances of a Scriabin étude: an explorative case stud Time series correlation
Counting time series
Average time series
First order difference time series
Graphical study
Average Regression
Section-wise Analysis
Decision tree
20062,006
Dubnov2006structural Structural and affective aspects of music from statistical audio signal analysis Time series correlation
Multivariate modeling
20062,006
Steinbeis2006harmonic The role of harmonic expectancy violations in musical emotions: Evidence from subjective, physiological, and neural responses Section-wise distributions 20062,006
Vines2006crossmodal Cross-modal interactions in the perception of musical performance Average time series
Time series correlation
Parametric correlation
Functional F-test
Graphical Study
20062,006
Plack2006performance The effect of performance medium on the emotional response of the listener as measured by the Continuous Response Digital Interface Average time series
Standard deviation time series
Response-wise distribution
Graphical study
20062,006
Schubert2007event When is an event in a time-series significant? Average time series
Standard deviation time series
Second-order Standard Deviation
Moving average smoothing
20072,007
Grewe2007listening Listening to music as a re-creative process: Physiological, psychological, and psychoacoustical correlates of chills and strong emotions Interrupted time series
Section-wise analysis
Correlation
20072,007
Margulis2007silences Silences in music are musical not silent: An exploratory study of context effects on the experience of musical pauses Participant-wise distribution
Average time series
Discrete analysis
20072,007
Levitin2007function Introduction to functional data analysis Average time series
Functional Data Analysis
Functional Principle Component Analysis
20072,007
Nagel2007emujoy EMuJoy: Software for continuous measurement of perceived emotions in music Graphical study
Individual response analysis
Gradient visualisation
20072,007
Grewe2007emotions Emotions over time: Synchronicity and development of subjective, physiological, and facial affective reactions to music Participant-wise distribution
Median time series
First order difference time series
Affective event analysis
Wilcoxon test for events
20072,007
Bailes2007facilitation Facilitation and coherence between the dynamic and retrospective perception of segmentation in computer-generated music Response lag 20072,007
… further results

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