SPSS Analysis for AI Adoption Research
Budget: $250 – $750 USD
Hello,
I hope you are doing well. I am contacting you regarding a research project for which I need full SPSS statistical analysis.
Project Title:
Factors influencing the adoption of AI and IoT in Saudi agriculture: Evidence from smart irrigation.
Project Overview:
The study investigates farmers’ awareness, perceived benefits, barriers, access to information and training, government support, and how these factors influence adoption of AI/IoT-based smart irrigation in Saudi Arabia.
The survey was administered in Arabic and English and includes Likert-scale constructs.
The methodology is complete, and the analysis must follow exactly what is written there.
What I Need From You
1. Pilot Study Analysis (Pilot data is ready now)
Please conduct the following analysis on the pilot dataset:
Reliability analysis (Cronbach’s Alpha) for all constructs
Descriptive statistics (mean, SD, frequencies)
Correlation matrix among all variables
Identification of any problematic items (low correlations, low factor loadings, very low Cronbach alpha if applicable)
Recommendations on whether any items should be modified or removed
This pilot analysis will be included in the “Results & Findings” chapter.
2. Full Sample Analysis (Final data will be ready on Friday)
Once I send the final dataset this Friday, please run:
Reliability + Descriptive Analysis
Cronbach’s Alpha for each construct
Descriptive statistics (mean, SD, frequencies)
Correlation Analysis
Pearson correlations between all major constructs
Regression Analysis Based on Hypotheses
Please test the following hypotheses:
H1: Awareness of AI/IoT technologies → Perceived Benefits
(Positive relationship)
H2: Perceived Benefits → Adoption Intention
(Positive relationship)
H3: Perceived Barriers → Adoption Intention
(Negative relationship)
H4: Access to Information & Training → Adoption Intention
(Positive relationship)
H5: Perceived Government Support → Adoption Intention
(Positive relationship)
Required Regression Models
One regression model for H1
One full regression model with Adoption Intention as the dependent variable including:
Perceived Benefits
Barriers
Access to Information & Training
Government Support
Deliverable Requirements
SPSS output files (.spv)
Clean tables in Word or Excel suitable for Results chapter
Written narrative interpretation of all results
significance levels
direction of relationships
strength of coefficients
Summary of which hypotheses are supported or rejected
Timeline
Pilot dataset: ready now – can be sent immediately
Final dataset: will be ready this Friday
Deadline for complete results & findings: Friday, 5 December
I hope you are doing well. I am contacting you regarding a research project for which I need full SPSS statistical analysis.
Project Title:
Factors influencing the adoption of AI and IoT in Saudi agriculture: Evidence from smart irrigation.
Project Overview:
The study investigates farmers’ awareness, perceived benefits, barriers, access to information and training, government support, and how these factors influence adoption of AI/IoT-based smart irrigation in Saudi Arabia.
The survey was administered in Arabic and English and includes Likert-scale constructs.
The methodology is complete, and the analysis must follow exactly what is written there.
What I Need From You
1. Pilot Study Analysis (Pilot data is ready now)
Please conduct the following analysis on the pilot dataset:
Reliability analysis (Cronbach’s Alpha) for all constructs
Descriptive statistics (mean, SD, frequencies)
Correlation matrix among all variables
Identification of any problematic items (low correlations, low factor loadings, very low Cronbach alpha if applicable)
Recommendations on whether any items should be modified or removed
This pilot analysis will be included in the “Results & Findings” chapter.
2. Full Sample Analysis (Final data will be ready on Friday)
Once I send the final dataset this Friday, please run:
Reliability + Descriptive Analysis
Cronbach’s Alpha for each construct
Descriptive statistics (mean, SD, frequencies)
Correlation Analysis
Pearson correlations between all major constructs
Regression Analysis Based on Hypotheses
Please test the following hypotheses:
H1: Awareness of AI/IoT technologies → Perceived Benefits
(Positive relationship)
H2: Perceived Benefits → Adoption Intention
(Positive relationship)
H3: Perceived Barriers → Adoption Intention
(Negative relationship)
H4: Access to Information & Training → Adoption Intention
(Positive relationship)
H5: Perceived Government Support → Adoption Intention
(Positive relationship)
Required Regression Models
One regression model for H1
One full regression model with Adoption Intention as the dependent variable including:
Perceived Benefits
Barriers
Access to Information & Training
Government Support
Deliverable Requirements
SPSS output files (.spv)
Clean tables in Word or Excel suitable for Results chapter
Written narrative interpretation of all results
significance levels
direction of relationships
strength of coefficients
Summary of which hypotheses are supported or rejected
Timeline
Pilot dataset: ready now – can be sent immediately
Final dataset: will be ready this Friday
Deadline for complete results & findings: Friday, 5 December