Performance Analysis of CVSS AT HIGH RISK ORGANIZATIONS using IBM SPSS
Step 1: Initially, we import the “ACCEPTANCE FACTORS” dataset (provided by your side) containing UTAUT responses into SPSS.
Step 2: Then, we measure the responses of PE, EE, SI, FC (independent variables), and BI (dependent variable) using a 5-point Likert scale.
Step 3: Next, we export the data into IBM SPSS and conduct descriptive statistical analysis for all variables.
Step 4: Next, we perform multiple regression analysis in SPSS to assess the impact of PE, EE, SI, and FC on BI.
Step 5: Next, we check key assumptions of regression such as linearity, independence, homoscedasticity, and normality.
Step 6: Then, we conduct reliability analysis (e.g., Cronbach’s Alpha) for PE, EE, SI, FC, and BI constructs in SPSS.
Step 7: Finally, we generate tables in SPSS showing coefficients, significance levels, and R² values for overall predictors.
Software Requirement:
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1. Development Tool: IBM SPSS Statistics 29.0.2.0
2. Operating System: Windows 11 (64-bit)
Note:
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) If you have any changes in the Dataset , kindly provide before implementation.
5) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
