Amazon's Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.

http://www.gruberpeplab.com/teaching/psych231_fall2013/documents/231_Buhrmester2011.pdf

Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?

Two studies were conducted to analyze how hope, resilience, optimism, and efficacy individually and as a composite higher-order factor predicted work performance and satisfaction. Results from Study 1 provided psychometric support for a new survey measure designed to assess each of these 4 facets, as well as a composite factor. Study 2 results indicated a significant positive relationship regarding the composite of these 4 facets with performance and satisfaction. Results from Study 2 also indicated that the composite factor may be a better predictor of performance and satisfaction than the 4 individual facets. Limitations and practical implications conclude the article.

/pdf/positive-psychological-capital-measurement-and-relationship-51q6i4tzxj.pdf

Positive psychological capital: measurement and relationship with performance and satisfaction

http://irtel.uni-mannheim.de/lehre/expra/artikel/Rammstedt_John_1_min-Personality_Test_2007.pdf

Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German

Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues.

The Mini-IPIP, a 20-item short form of the 50-item International Personality Item Pool-Five-Factor Model measure (Goldberg, 1999), was developed and validated across five studies. The Mini-IPIP scales, with four items per Big Five trait, had consistent and acceptable internal consistencies across five studies (= at or well above .60), similar coverage of facets as other broad Big Five measures (Study 2), and test-retest correlations that were quite similar to the parent measure across intervals of a few weeks (Study 4) and several months (Study 5). Moreover, the Mini-IPIP scales showed a comparable pattern of convergent, discriminant, and criterion-related validity (Studies 2-5) with other Big Five measures. Collectively, these results indicate that the Mini-IPIP is a psychometrically acceptable and practically useful short measure of the Big Five factors of personality.

https://psycnet.apa.org/journals/pas/18/2/192.pdf

The mini-IPIP scales: tiny-yet-effective measures of the Big Five factors of personality.

http://gosling.psy.utexas.edu/wp-content/uploads/2014/09/JRP-03-tipi.pdf

William B. Swann

Papers

A very brief measure of the Big-Five personality domains