A Dataset on Psychological and Social Determinants of Purchase Intention and Buying Behavior in Impact Investments
Description
The dataset comprises responses collected through structured surveys conducted via field visits in selected regions. It includes a total of 504 valid responses after rigorous data screening, ensuring accuracy and reliability. The dataset captures various demographic attributes such as gender, age, occupation, income, and investment experience. Additionally, it encompasses key psychological and social determinants influencing impact investment behavior, including attitude, subjective norms, perceived behavioral control, purchase intention, environmental concern, and social concern. The survey employed a 7-point Likert scale to assess respondents' perceptions, preferences, and decision-making factors in impact investments. The data were gathered from individuals with varying levels of investment experience, ensuring diverse representation. The inclusion criteria required participants to have basic investment knowledge, while incomplete or inconsistent responses were excluded to maintain data integrity. The dataset provides valuable insights into the motivations and behavioral patterns of investors in sustainable and ethical financial markets. It allows researchers to explore the relationship between psychological and social factors and actual investment decisions. With its structured format and comprehensive coverage, the dataset is well-suited for further analysis using statistical techniques such as regression modeling, correlation analysis, and predictive modeling. This dataset serves as a useful resource for academics, policymakers, and financial institutions seeking to understand and promote sustainable investment practices.
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Steps to reproduce
The data was collected through a structured survey conducted via field visits in selected regions. A questionnaire was designed using validated constructs from existing literature, employing a 7-point Likert scale to measure psychological and social determinants of impact investment behavior. The sample size was determined using Yamane’s (1967) formula, ensuring statistical reliability. During data collection, 578 surveys were distributed to individuals with basic investment knowledge, selected through purposive sampling. The responses were gathered through direct face-to-face interactions to ensure data authenticity. After collection, a rigorous screening process was applied to remove incomplete or inconsistent responses, retaining 504 valid responses for final analysis. The dataset was organized in a structured format with clearly labeled variables for ease of analysis. Standard software tools like SPSS and Excel were used for data cleaning and preprocessing. The final dataset was then curated and uploaded to Mendeley Data, making it accessible for further research and replication.