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Data Analysis.

Essay by   •  March 21, 2019  •  Research Paper  •  416 Words (2 Pages)  •  1,090 Views

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Data Analysis

  1. Normality

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Skewness

Kurtosis

Statistic

Statistic

Statistic

Statistic

Statistic

Statistic

Std. Error

Statistic

Std. Error

Usefulness

250

1.00

11.83

3.5113

.82315

4.042

.154

41.288

.307

Easeofuse

250

1.00

8.17

3.6813

.66934

.714

.154

8.975

.307

Observability

250

2.00

5.00

3.7180

.71239

-.004

.154

-.369

.307

Attitude

250

1.75

14.00

3.8140

.97787

4.451

.154

46.239

.307

Intention

250

1.50

5.00

3.8230

.68101

-.221

.154

-.030

.307

Valid N (listwise)

250

According to Coakes and Steed, (2001) the data is considered good when it has a normal distribution, with no presence of noticeable skewness, and bell-shaped. The data is considered normally distributed when the skewness and kurtosis value falls between -2 and +2 (Chua, 2006b). If the skewness values fall outside the range of -1 to +1 then this indicates a substantially skewed distribution (Hair et al, 2010).  

  1. Multicollinearity

Two methods of assessment
A. Correlations (Chatterjee & Yilmaz, 1992; Peng & Lai, 2012)
B. VIF (Hair et al., 2011)

Correlations

Usefulness

Easeofuse

Observability

Attitude

Intention

Usefulness

Pearson Correlation

1

.321**

.233**

.232**

.306**

Sig. (1-tailed)

.000

.000

.000

.000

N

250

250

250

250

250

Easeofuse

Pearson Correlation

.321**

1

.386**

.345**

.410**

Sig. (1-tailed)

.000

.000

.000

.000

N

250

250

250

250

250

Observability

Pearson Correlation

.233**

.386**

1

.367**

.458**

Sig. (1-tailed)

.000

.000

.000

.000

N

250

250

250

250

250

Attitude

Pearson Correlation

.232**

.345**

.367**

1

.558**

Sig. (1-tailed)

.000

.000

.000

.000

N

250

250

250

250

250

Intention

Pearson Correlation

.306**

.410**

.458**

.558**

1

Sig. (1-tailed)

.000

.000

.000

.000

N

250

250

250

250

250

**. Correlation is significant at the 0.01 level (1-tailed).

Hair et al (2010) correlation coefficient of 0.90 and above indicates the existence of multicollinearity between the exogenous latent constructs

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