scholarly journals Many Labs 5: Registered Replication of Albarracín et al. (2008), Experiment 5

2020 ◽  
Vol 3 (3) ◽  
pp. 332-339 ◽  
Author(s):  
Christopher R. Chartier ◽  
Jack D. Arnal ◽  
Holly Arrow ◽  
Nicholas G. Bloxsom ◽  
Diane B. V. Bonfiglio ◽  
...  

In Experiment 5 of Albarracín et al. (2008), participants primed with words associated with action performed better on a subsequent cognitive task than did participants primed with words associated with inaction. A direct replication attempt by Frank, Kim, and Lee (2016) as part of the Reproducibility Project: Psychology (RP:P) failed to find evidence for this effect. In this article, we discuss several potential explanations for these discrepant findings: the source of participants (Amazon’s Mechanical Turk vs. traditional undergraduate-student pool), the setting of participation (online vs. in lab), and the possible moderating role of affect. We tested Albarracín et al.’s original hypothesis in two new samples: For the first sample, we followed the protocol developed by Frank et al. and recruited participants via Amazon’s Mechanical Turk ( n = 580). For the second sample, we used a revised protocol incorporating feedback from the original authors and recruited participants from eight universities ( n = 884). We did not detect moderation by protocol; patterns in the revised protocol resembled those in our implementation of the RP:P protocol, but the estimate of the focal effect size was smaller than that found originally by Albarracín et al. and larger than that found in Frank et al.’s replication attempt. We discuss these findings and possible explanations.

2020 ◽  
Vol 38 (7) ◽  
pp. 1601-1616
Author(s):  
Chanho Song ◽  
Tuo Wang ◽  
Hyunjung Lee ◽  
Michael Y. Hu

PurposeThe purpose of this paper is to investigate how the effects of referral rewards in referral reward programs (RRPs) are moderated through perceived social risk of a recommender.Design/methodology/approachA total of 717 consumers are accessed through Amazon's Mechanical Turk worker panel. The authors use t-test and analysis of variance to test the proposed hypotheses.FindingsThe findings show that consumers with high perceived social risk balance financial rewards with social risks, while low social risk consumers largely ignore these social risk elements surrounding a referral decision.Originality/valueThe inclusion of perceived social risk provides the opportunity to fully understand how a consumer goes about balancing social risk and referral rewards in making referral decisions. The concept of social risk has not been previously applied to this context.


2020 ◽  
Vol 29 (4) ◽  
pp. 256-268
Author(s):  
K. Damon Aiken ◽  
Ajay Sukhdial ◽  
Richard Campbell ◽  
Aubrey Kent

While previous research has found support for the existence of tanking in professional sport, attitudinal complexities surrounding the phenomenon have yet to be investigated. This study utilized Amazon’s Mechanical Turk service to obtain a national sample of National Basketball Association (NBA) fans. The sample contained fans of all thirty NBA teams. Respondents provided data regarding their overall attitudes toward tanking as well as their underlying old school values, time-oriented values, and ethics-based values. Results indicate that fans have a relatively strong dislike for perceived tanking and that a team’s win-loss record has very little influence on fans’ generally negative attitudes. Furthermore, these attitudes appear to be guided by fan values.


2017 ◽  
Vol 46 (6) ◽  
pp. 329-334 ◽  
Author(s):  
D. Jake Follmer ◽  
Rayne A. Sperling ◽  
Hoi K. Suen

The advent of online platforms such as Amazon’s Mechanical Turk (MTurk) has expanded considerably researchers’ options for collecting research data. Many researchers, however, express understandable skepticism of the viability of using platforms such as MTurk. In this article, we provide a background on the use of MTurk as a mechanism for collecting research data. We then review what is currently known about the advantages and issues associated with using MTurk and highlight important areas for future research. We conclude by discussing implications of the use of crowdsourcing platforms such as MTurk for education research.


2021 ◽  
Vol 9 (1) ◽  
pp. 1300-1314
Author(s):  
Dr. Ali Dalain

Purpose: This study attempts to gain insight into what factor influence on employee creativity and perceived organizational performance. Therefore, a theoretical framework is developed grounded in empowerment theory workplace ostracism and defensive silence.  In addition to that the moderating role of employee proactivity is hypothesized between employee creativity and perceived organizational performance. Design/Methodology/Approach: The research design of this study is based on positivist paradigm and followed quantitative research approach. A survey was administered towards public sector organizations in Saudi Arabia. Sample size of this study is computed with prior-power analysis using G-power software. For data analysis 384 responses were analyzed with structural equation modeling (SEM). Findings: Results indicate that employee creativity is predicted by empowering leadership, psychological empowerment, structural empowerment, trust in leadership, defensive silence and workplace ostracism and explained  52.4% variance in employee creativity. Therefore, employee creativity and employee proactivity shows  55.1% variance in perceived organizational performance. Effect size analysis showed that structural empowerment had medium level of effect size when predicting employee creativity. Practical Implications: This study contributes to empowerment theory and enriches the innovative and leadership literature. Practically, this research suggested that managers and policy makers should focus on empowering leadership, structural empowerment, psychological empowerment, employee proactivity and trust in leadership in order to boost employee creativity and perceived organizational performance. Originality/value: This research is significant as it extends the empowerment theory with defensive silence and workplace ostracism and extends the body of knowledge on this subject. To the best of researcher knowledge this study is the first that test the empowerment theory with the moderating role of employee proactivity to determine employee creativity and perceived organizational performance.


Crisis ◽  
2020 ◽  
Vol 41 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Bob Lew ◽  
Ksenia Chistopolskaya ◽  
Yanzheng Liu ◽  
Mansor Abu Talib ◽  
Olga Mitina ◽  
...  

Abstract. Background: According to the strain theory of suicide, strains, resulting from conflicting and competing pressures in an individual's life, are hypothesized to precede suicide. But social support is an important factor that can mitigate strains and lessen their input in suicidal behavior. Aims: This study was designed to assess the moderating role of social support in the relation between strain and suicidality. Methods: A sample of 1,051 employees were recruited in Beijing, the capital of China, through an online survey. Moderation analysis was performed using SPSS PROCESS Macro. Social support was measured with the Multidimensional Scale of Perceived Social Support, and strains were assessed with the Psychological Strains Scale. Results: Psychological strains are a good predictor of suicidality, and social support, a basic need for each human being, moderates and decreases the effects of psychological strains on suicidality. Limitations: The cross-sectional survey limited the extent to which conclusions about causal relationships can be drawn. Furthermore, the results may not be generalized to the whole of China because of its diversity. Conclusion: Social support has a tendency to mitigate the effects of psychological strains on suicidality.


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