• Can create a cycle where certain methodologies are held up as the go-to

• Being married to certain methods (e.g. controlled experiments) has led to severe limitations in generalizability of psych findings --> the college sophomore problem

What can be done?

• Methodological pluralism: tackling research questions using multiple different experimental designs and contexts to broaden the scope of findings and to attack problems of both internal and external validity

• Paying attention to ecological validity, designing experiments so that they incorporate real-world scenarios

Growing Popularity: It has become increasingly popular among social scientists for collecting survey and experimental data due to its low cost and accessibility.

Characteristics & Major Points:

• The Good: Large sample, more diverse than other software

• The Bad: data quality, potential for selection bias. Not as diverse of a sample - mostly in the US and India.

• Diverse but Non-Representative: While the MTurk workforce is large (over 500,000 individuals), it is dominated by U.S. and Indian workers and does not represent the general population in terms of demographics or psychological traits.

• Motivations for Participation: Workers are motivated by both intrinsic (enjoyment) and extrinsic (financial need) factors, not solely by monetary compensation.

• Demographic Trends: MTurk workers tend to be younger, overeducated, underemployed, and display different personality traits compared to traditional samples (e.g., less extraversion, higher social anxiety).

• Sampling Issues: Selection of Tasks: Workers choose tasks based on factors like recency and payment, which can create biases in the sample. Potential for Repeat Participation: Experienced workers may influence study outcomes due to familiarity with tasks, leading to concerns about practice effects.

• Determinants of Data Quality: Impact of Payment: Higher payments can enhance performance on tasks requiring factual accuracy, but do not significantly affect subjective responses. Improving Quality: Researchers can enhance data quality by inducing attentiveness through task design and by framing tasks in a meaningful way.

Conclusion: Ultimately, the article argues that despite the limitations of the MTurk worker pool, it offers a valuable, cost-effective resource for social scientists, capable of accelerating and democratizing scientific inquiry. Benefits of MTurk: MTurk facilitates diverse and large-scale research opportunities, enabling studies that are difficult to conduct in traditional settings. Caution in Usage: Researchers must be aware of the limitations regarding sample representativeness, the dynamic nature of samples, and the potential for design choices to influence outcomes. Future Research Needs: There remain important questions about the cognitive profiles of MTurk workers and the factors influencing sample characteristics.

• Certain conditions (convenience sampling of college sophomores) --> influencing outcomes --> impacts generalizability

• More heavily impacted by group norms, easily influenced/power dynamic (professors, TA), academic setting (grades), cognitive-focused (convenience sampling), barriers to college/underrepresentation of marginalized populations in college settings (relates to Sue), funding (relates to Sue)

• Considerations: Broaden the age range; understand how college students differ from the general population and adjust accordingly

Sue (1999)

• Funding and publishing systemic structures create barriers for research for/with marginalized research

• Need more of an emphasis on the descriptives (again qual), but people don't want to fund the "soft research"

• Positivist privileging in research

• Ethnic minority research(ers) criticized for not being generalizable to other populations (double standard)