What does the Social Value Orientation in Behavioral Economics Dataset include?
The Social Value Orientation in Behavioral Economics Dataset includes 1,501 empirically validated questions organised across six behavioural domains, delivered in Excel and CSV formats. It contains response scoring templates, metadata definitions, normative benchmarks from global samples, and integration guidance for experimental design or policy analysis. All content is structured to align with established frameworks such as the Triple Dominance Measure and SVO Slider method.
What if your research or organisational strategy is missing critical behavioural insights because you're relying on incomplete or poorly structured data about Social Value Orientation in Behavioral Economics? Inconsistent datasets lead to flawed analysis, weak policy recommendations, and unreliable experimental outcomes, jeopardising academic credibility, funding opportunities, and real-world impact. The Social Value Orientation in Behavioral Economics Dataset eliminates this risk with a comprehensive, analysis-ready collection of 1,501 empirically grounded questions and responses, structured across six key maturity domains: equity preference, altruism, competitiveness, prosocial behaviour, social discounting, and cooperation dynamics. This dataset gives you the precision, consistency, and depth needed to power high-impact studies, validate models, or inform evidence-based interventions, ensuring your work stands up to peer review, replication, and practical application.
What You Receive
- A fully searchable Excel and CSV dataset containing 1,501 validated Social Value Orientation questions, each tagged by behavioural domain, response type (ordinal, continuous, binary), and experimental context (lab, online, field study)
- Six structured assessment modules covering all major Social Value Orientation frameworks including the Triple Dominance Measure, SVO Slider, and Decomposed Game approaches, each with scoring algorithms and normative benchmarks
- Response distribution data from global samples (n = 12,480) enabling immediate comparison and calibration of new subject results
- Mapping table linking each question to established psychological constructs (e.g., Fehr-Schmidt inequality aversion, Rabin fairness model) for theoretical alignment and literature integration
- Metadata dictionary defining all variables, coding rules, exclusion criteria, and reliability metrics (Cronbach’s alpha, test-retest coefficients) to support methodological rigour
- Ready-to-use analysis templates with pre-built pivot tables and visualisation dashboards for instant insight generation
- Implementation guide detailing how to integrate the dataset into experimental design, survey development, agent-based modelling, or policy evaluation workflows
How This Helps You
With this dataset, you move from guesswork to granular insight: identify patterns in prosocial decision-making, benchmark participant cohorts, and detect subtle shifts in social preferences under varying conditions, all within minutes of download. Each question has been vetted against peer-reviewed publications and standardised for cross-study compatibility, eliminating the need to design and validate instruments from scratch. This accelerates research timelines by weeks, reduces methodological errors, and strengthens publication potential. For consultants and policy analysts, the dataset enables rapid prototyping of behavioural interventions, ensuring recommendations are grounded in robust empirical evidence. Without access to a validated, large-scale SVO dataset, you risk drawing conclusions from underpowered or biased samples, leading to failed grant applications, retracted findings, or ineffective programme designs. This dataset mitigates that risk by providing the gold-standard foundation for any work involving social preferences in economic decision-making.
Who Is This For?
- Academic researchers in behavioural economics, experimental psychology, or social science needing reliable, publication-ready instruments
- PhD candidates designing lab or field experiments involving social preferences and fairness norms
- Government and NGO analysts building evidence-based policies on cooperation, taxation, or public goods provision
- Consultants developing behavioural insights programmes for organisations focused on equity and inclusion
- AI and simulation modellers requiring calibrated human preference data for agent-based systems
- University lecturers creating teaching materials or student projects on behavioural game theory and altruism
Choosing this dataset isn’t just a research upgrade, it’s a professional imperative. You’re not buying data; you’re investing in methodological integrity, reproducibility, and scholarly impact. By equipping yourself with the most comprehensive Social Value Orientation dataset available, you position your work at the forefront of behavioural science, where precision, credibility, and influence intersect.