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Assessing the Consumers’ Purchase Intention and Consumption of Convenience…

- - - - descriptive sttistics
        
        SPSS verion 24 software
      - confirmatory factor analysis
        
        AMOS version 23 software
        
        reliability of scale items
        
        validity of the constructs of measurements
        
        model fit indices
      - data obtained from consumers
        
        5 indexes
        
        fitness of measurement
    - - proposed hypothesis
        
        SEM technique
        
        6 indexes
        
        fit of structural model
      - postulated hypothesis
        
        2 value
  - - - Significant (p ≤ .01), ranged from 0.605 to 0.988, above the 0.50 threshold.
    - - Ranged 0.900 to 0.988, above 0.70 → high reliability.
    - - Between 0.510 and 0.942, above 0.50 → supports convergent validity.
    - - Values from 0.704 to 0.987, exceeding the 0.70 cutoff → strong internal consistency.
    - - CFI: 0.911, TLI: 0.907, GFI: 0.901, RMSEA: 0.072, SRMR: 0.078 → all indicate good model fit.
    - - Convergent and discriminant validity confirmed.
  - - - Time scarcity (β = .723)
      - Lack of cooking skills (β = .514)
      - Lack of meal prep confidence (β = .292)
      - Lack of interest in cooking effort (β = .508)
      - Familiarity with convenience food (β = .533)
      - Lack of motivation (β = .519)
- - - - Cover more cities and diverse groups.
      - Include school children to guide healthier food policies.
- - - - Time scarcity
      - Cooking skills
      - Meal prep confidence
      - Physical & mental effort
      - Cooking resource availability
      - Familiarity with convenience food
      - Cooking motivation
  - - - Time scarcity, low cooking skills/confidence/motivation positively affect intention
      - Availability of cooking resources has no significant effect
- - - - Define research objectives
      - Develop questions
      - Review and align with goals
    - - Students, professionals, and corporate employees
      - Gender: 41.3% male, 58.7% female
      - Average age: 30.37 years
      - Income range: USD 700–40,000/year