Conducting Clinical Research Using Crowdsourced Convenience Samples.

By Jesse J. Chandler, D. Shapiro. Annual Review of Clinical Psychology, 2016

1,024 citations recorded by the source corpus.

Subfields: Computer Science Applications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/19072d73c284886964205a8cc674fdd641cb2eaf

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Citations in the corpus

The COVID-19 anxiety syndrome scale: Development and psychometric properties (2020, positive): “Respondents completing surveys through MTurk have been found to produce high quality data and tend to be more demographically diverse than either standard internet samples or undergraduate samples (see Chandler and Shapiro, 2016, for a review).”
The Turker Blues: Hidden Factors Behind Increased Depression Rates Among Amazon’s Mechanical Turkers (2020, background): “However, concerns have been raised regarding the representativeness and the quality of data collected from MTurk and similar platforms for clinical studies (Chandler & Shapiro, 2016; McCredie & Morey, 2019).”
Crowdsourcing Consumer Research (2017, background): “…powerless), and quitting correlates with theoretically relevant characteristics (e.g., low need for cognition, or low self-esteem), then assumptions of random assignment will fail, with serious threats to internal validity (Chandler and Shapiro 2016; Horton et al. 2011; Zhou and Fishbach 2016).”
Demographics and Dynamics of Mechanical Turk Workers (2018, background): “Chandler and Shapiro [8] evaluate the validity of experiments using MTurk in clinical psychological research from the point of view of sample composition and collected data quality.”
Looking Through Tinted Glasses: Depression and Social Anxiety Are Related to Both Interpretation Biases and Inflexible Negative Interpretations (2018, methodology): “MTurk provides an online crowdsourcing platform with access to large and diverse samples suitable for clinical research collecting mental health data (Chandler & Shapiro, 2016).”
No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments (2018, background): “Ensuring that respondents attend to stimuli, however, presents a challenge, particularly given the growth in online surveys and reliance upon subjects from opt-in panels who may be distracted (e.g., Chandler and Shapiro 2016; Clifford and Jerit 2015).”
The Politically Motivated Reasoning Paradigm, Part 1: What Politically Motivated Reasoning Is and How to Measure It (2016, background): “…M Turk workers to use US-VPNs to disguise their nationality (Shapiro, Chandler, & Mueller, 2013) and engage in like forms of misrepresentation to qualify for studies (Chandler & Shapiro, 2016) furnishes reason to doubt M Turk workers are “typical” of ordinary members of the US population generally.”
How listening to music and engagement with other media provide a sense of belonging: An exploratory study of social surrogacy (2018, background): “…such as the one obtained in this study recruited over social media and the internet has other drawbacks, such as being more highly educated than the general population, being interested in technology, and being drawn from a particularly constrained pool of nationalities (Chandler & Shapiro, 2016).”
An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use (2018, methodology): “Some quick facts: In social science journals with an impact factor greater than 2.5, 2011 saw fewer than 50 papers using data from MTurk, whereas 2015 saw more than 500 (Chandler & Shapiro, 2016).”
The Hitchhiker’s Guide to Computational Linguistics in Suicide Prevention (2021, background): “…platforms seem to include substantially higher levels of psychopatholo-gies, and especially of depression (Arditte et al., 2016; Bunge et al., 2018; Chandler & Shapiro, 2016; McCredie & Morey, 2019; Ophir, Sisso, et al., 2020), thus limiting the generalizability of prediction models that are based…”
Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature (2018, background): “The growing popularity of MTurk has led to questions about its soundness as a subject pool; MTurk is the most studied nonprobability sample available to researchers.(3) The MTurk pool of potential workers is vast, diverse, and inexpensive.”
Emotion Regulation Difficulties Related to Depression and Anxiety: A Network Approach to Model Relations Among Symptoms, Positive Reappraisal, and Repetitive Negative Thinking (2019, methodology): “Following recommendations for research using crowdsourced samples (Chandler & Shapiro, 2016), only MTurk workers with a history of providing good-quality responses (i.e., an acceptance ratio of ≥ 95”