Research Findings on the Internet of Things (IoT) in Smart Cities

Findings
Student’s Name
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Date
Findings
Reliability Test
A reliability test was conducted to assess the reliability of the questions asked in the survey concerning the usage of electricity, water, and garbage. This test was conducted to determine whether the relevant questions helped to measure the same variables. The study entailed the assessment of the possibility of establishing a smart city using IoT devices (Timsina & Chatterjee, 2021). The study also entails assessing better service delivery using big data analytics. Consequently, the questions asked in the survey have to measure variables such as Smart City, IoT, Internet, Big Data, among others. The findings of the reliability testing determine the quality of the questions asked in the survey. According to the guidelines set by George and Mallery, a score of >.9 is excellent, >.8 is good, >.7 is acceptable, >.6 is questionable, >.5 is poor, and <.5 is unacceptable (Bhatnagar et al., 2014).
The value obtained above in SPSS is the Cronbach’s alpha reliability test, whose values range from 0 to 1. Consequently, the internal consistency of the variables is greater if the value is closer to 1.
Summary of the Case Processing


N

%

Cases

Valid

12

100


Excluded

0

0


Total

12

100.0

Reliability Statistics
Cronbach’s Alpha

N of Items

.80

2

Based on the above analysis, our coefficient value is .8, which is acceptable according to the Goerge and Malley rule.
The table below shows the mean and standard deviation on the variables under study. It highlights the prominent questions asked to the smart device users to determine their understanding and propensity to adopt the technology.
Questions

Mean