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Home » MBA Dissertation (Part 2) » Customers’ Perspective » Quantitative Findings, Analysis & Disscussion » Normality Analysis, Sample Size & Pearson Correlation

Normality Analysis, Sample Size & Pearson Correlation

Normality Analysis

Table 9 derived from SPSS shows negative skewness of all the variables tested (PU; PEOU; and Intent to use). This means the distribution of all the data tends towards the more positive answers. It is unclear why the sample tested shows this tendency although first- adopters with positive attitudes tend to persist with the said technology with an evangelistic demeanour. Due to the method of questionnaire distribution it is hypothesised that first-adopters with negative experiences would quickly drop Bitcoin therefore decreasing the probability of encountering them for interviews in the online environment. Since Bitcoin is in this first-adopter stage there is therefore no early/late majority population to normalise the results.

The ‘reflect and inverse formula’ described appendix was used to normalise distribution of the responses obtained from the research sample in order to perform standard multiple regression.

Bitcoin seems useful in online transactions.

(PU)

It seems easy to use Bitcoin in online transactions.

(PEOU)

Intent to use

N Valid

84

84

81

Missing

17

17

20

Skewness

-.603

.004

-.282

Std. Error of Skewness

.263

.263

.267

Table 9: Frequencies Test Result

Results of that fall within ±1 skewness are appropriate for standard multiple regression which can be used to find the relationship among the two independent variables by comparing the predictive ability of factors: PU and PEOU to rate Bitcoin.

Sample Size

An adequate sample size is required to ensure generalisability, (Stevens, 1996) recommends that “for social science research, about 15 applicants per predictor are needed for a reliable equation”. Tabachnick & Fidell (2013) use the equation:

N>50+8m

Where “m” is the number of independent variables

Therefore in this case N> 74 is achieved with number of participants at 81 and 84.

Intent to use  PU PEOU
Pearson Correlation Intent to use 1.000
PU .539 1.000
PEOU .421 .617 1.000
Sig. (1-tailed) Intent to use .
PU .000 .
PEOU .000 .000 .

Table 10: Pearson Correlation of PU, PEOU and Intent

Pearson Correlation

Regarding the Pearson correlation, looking at the top row we can see that the two independent variables (PU, PEOU) correlate strongly with the dependent variable (Rate Bitcoin), a value above 0.3. Regarding the inter-correlation of each of the three independent variables the correlation is at levels under 0.1 signifying significant correlation as would be expected from the TAM.

Next section: https://jl00282.wordpress.com/dissertation-part-2/customers-perspective/quantitative-findings-analysis-disscussion/internal-variables-analysis/


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