Empirical Study on Cryptocurrency: Regression Model and Survey
Title of the Work Text entry mistakes Brief description of the Research Design – what will you be using – what are you ‘testing’ or ‘finding out’ (if you are using a survey – copy the questions (and any answer rubric you have designed into the last page of this sheet) Adults will type into a small java interface and their keystrokes will be collected. One group will do this on a phone the others on a computer – the aim is to find out if there is a difference Who will be recruited to do the work – specify how many you aim to recruit, where you will find them and what ages / genders / demographic groups you are considering Twenty students will be asked – I will invite them from the Uni – they will be aged 19 – 25. What do you expect your data to look like – will it be numbers, counts, notes, words – include an example There will be a table showing the errors for each different interface. I think I might use an ANOVA test and I will use bar charts
Added on 2023-05-29
About This Document
This plan includes a cross-sectional empirical data survey on 60 popular cryptocurrencies and an effective regression model to determine the primary drivers of cryptocurrency value. The resulting data is in number format and collected through a survey of marketing students aged 25-40 in Australia. The survey includes dichotomous questions, a Likert-type scale, and common questions answered in complete sentences.
Empirical Study on Cryptocurrency: Regression Model and Survey
Title of the Work Text entry mistakes Brief description of the Research Design – what will you be using – what are you ‘testing’ or ‘finding out’ (if you are using a survey – copy the questions (and any answer rubric you have designed into the last page of this sheet) Adults will type into a small java interface and their keystrokes will be collected. One group will do this on a phone the others on a computer – the aim is to find out if there is a difference Who will be recruited to do the work – specify how many you aim to recruit, where you will find them and what ages / genders / demographic groups you are considering Twenty students will be asked – I will invite them from the Uni – they will be aged 19 – 25. What do you expect your data to look like – will it be numbers, counts, notes, words – include an example There will be a table showing the errors for each different interface. I think I might use an ANOVA test and I will use bar charts
Added on 2023-05-29
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