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#Galvanic skin response graph example excel professional#

#Galvanic skin response graph example excel professional#

Be a professional report using appropriate language.

To achieve maximum marks your work must fulfil these criteria: clearly separate observations from conclusions clearly state any limitations relating to the resultsĩ. include appropriate graphs in your reportĨ. report on the analysis of your questionsĦ. report descriptive statistics about the dataĥ. method of calculating confidence intervals, confidence level)Ĥ. state your decisions regarding the choice of statistical analysis techniques and parameters (eg. state your decisions regarding missing data or mismatched dataģ. describe what you did to clean and encode the data (if anything)Ģ. That is, high frequency audio was experienced twice, as was low frequency audio and the control case.ġ. Participants experienced two trials for each case. Z scores allow distributions of different types of data to be compared.Ģ. Recall that for normal distributions, ~95% of data will fall within two standard deviations, so most data points will be between -2 and 2. Z scores are standard deviation scores after the data has been scaled (normalised) to have a mean of 0 and a standard deviation of 1. Perceived body weight after each exposure, captured by the user altering an image of a body until it matched their perceived body weight.ġ. The provided spreadsheet contains the following variables for each participant:

For maximum marks, at least one of the 3 other research questions that you choose should involve using data involving at least 3 variables. Quantitatively analyse the data to answer (at least) 3 other research questions that you want to answer from the data (for example, does perceived speed change with different audio frequencies?).Ħ. greater than five on the nine-point scale).ĥ. (You will need to determine the proportion of responses that were positive, i.e. Quantitatively analyse and calculate confidence intervals for the proportion of participants who had a positive emotional valence for the three frequencies. Can you conclude anything from your analysis?Ĥ. Quantitatively analyse and calculate confidence intervals to compare galvanic skin response for the three different frequencies (control, low and high). Calculate descriptive statistics on at least 5 data fields or records ģ. Make decisions regarding missing or mismatched data, if relevant Ģ. The data has already been cleaned and encoded (although you may find some issues or wish to encode things, or re-organise the data for analysis, in which case you should document what you have chosen to do). You may use any tools you like for the analysis: Excel, SPSS, R, scripting languages, web-based tools such as the on-line Adjusted Wald calculator, etc. Your task is to analyse the quantitative data provided and write a report with your findings. For each of these states the researchers captured participant perceptions of their bodyweight, changes in their gait, and their mood, using the commonly used model of emotions consisting of the three dimensions: valence (positive/negative), arousal (calm/excited) and dominance (in control/overwhelmed). Participants experienced high frequency, low frequency and control audio feedback from walking while wearing the prototype shoes.

Participant gender, weight, height, and shoe size were collected. In this assignment you will analyse a dataset from a footwear user study.

The data from this assignment is from an experiment with changing the audio interface of footwear and observing changes in user behaviour. We don’t normally think of footwear as having user interfaces, and particularly, not audio interfaces. NOTE: There will be no pair/group work on this assignment.