Essay About Errorusefulness2501.0011.833.5113.823154.042.15441.288.307Easeofuse2501.008.173.6813.66934.714.1548.975.307Observability And Correlationsusefulnesseaseofuseobservabilityattitudeintentionusefulnesspearson Correlation1.321

Data Analysis.
Essay Preview: Data Analysis.
Report this essay
[pic 1][pic 2][pic 3]Data AnalysisNormalityDescriptive StatisticsNMinimumMaximumMeanStd. DeviationSkewnessKurtosisStatisticStatisticStatisticStatisticStatisticStatisticStd. ErrorStatisticStd. ErrorUsefulness2501.0011.833.5113.823154.042.15441.288.307Easeofuse2501.008.173.6813.66934.714.1548.975.307Observability2502.005.003.7180.71239-.004.154-.369.307Attitude2501.7514.003.8140.977874.451.15446.239.307Intention2501.505.003.8230.68101-.221.154-.030.307Valid N (listwise)250According 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).  Multicollinearity Two methods of assessmentA. Correlations (Chatterjee & Yilmaz, 1992; Peng & Lai, 2012)B. VIF (Hair et al., 2011)CorrelationsUsefulnessEaseofuseObservabilityAttitudeIntentionUsefulnessPearson Correlation1.321**.233**.232**.306**Sig. (1-tailed).000.000.000.000N250250250250250EaseofusePearson Correlation.321**1.386**.345**.410**Sig. (1-tailed).000.000.000.000N250250250250250ObservabilityPearson Correlation.233**.386**1.367**.458**Sig. (1-tailed).000.000.000.000N250250250250250AttitudePearson Correlation.232**.345**.367**1.558**Sig. (1-tailed).000.000.000.000N250250250250250IntentionPearson Correlation.306**.410**.458**.558**1Sig. (1-tailed).000.000.000.000N250250250250250**. 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