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Different Types of Manipulations. 

Different Types of Manipulations. 

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This article discusses the current and potential application of experimental methods to the study of entrepreneurship phenomena. Drawing on a review of experimental studies in entrepreneurship research, we discuss the advantages and disadvantages of experimental research designs for entrepreneurship research as a primer for those interested but not...

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... impact and context dimensions of the typology result in four types of manipulations that constitute design choices for entrepreneurship researchers: active participation, passive participation, active role-playing, and passive role-playing. See Table 1 for a depiction of the typology. ...

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... The second theme is entrepreneurship via experimentation. Scholars argue that when navigating uncertainty, as is typical of entrepreneurship (González-López et al., 2019; Selviaridis et al., 2023), entrepreneurs employ experimentation (Sull, 2004;Hsu et al., 2017), a widely adopted design practice that consists of revealing latent assumptions and empirically testing ideas to reduce uncertainty (Straker et al., 2021). In this way, they see the entrepreneurial experience as characterised by the constant testing of ideas in the real world. ...
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... In our experiment, students (n ¼ 203) with no entrepreneurial experience chose a hybrid venture to join its founding team in three conditions: neutral (control group, n ¼ 72), social priming (n ¼ 65) and commercial priming (n ¼ 66). According to Hsu et al. (2017), student samples are likely to be appropriate when students resemble the population of interest, the manipulation is expected to be confounded by students' professional experience, and the experimental design is grounded in a broad theory. Thus, university students following courses in management and entrepreneurship but having no entrepreneurial experience fit to represent first-time founders, the population of interest (see also Frederiks et al., 2019). ...
... Third, participants could not opt out of entrepreneurship. Thus, even if we studied the behavior of potential first-time founders and therefore, university students resemble the population of interest (Gr egoire et al., 2019;Hsu et al., 2017), field studies could further contribute to the examination of the research questions of this explorative study and corroborate the results. ...
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... From this perspective, artificiality can be a virtue of true experiments when the objective is to discover "what can happen" theoretically more than "what does happen" in real life (Aronson et al., 1998;Webster & Sell, 2007). Moreover, fictitious stimuli in the forms of hypothetical scenarios, vignettes, simulations, and virtual realities can be useful for studying sensitive, infrequent, and invariant topics (Hsu et al., 2017;Levine et al., 2023). Thus, external validity needs to be considered in light of the above when assessing experiment-based articles. ...
... In line with previous experiments in entrepreneurship research, in which participants in the experimental and control group(s) read different manipulation documents before their intentions or decisions are assessed (Gupta et al., 2008;Stevenson et al., 2019), we manipulate each form of awareness with a slightly different pretested article about an environmental problem, while the control group reads an article that does not raise awareness of the environmental problem. The articles are available in Appendix B. After reading their respective article, participants are asked to summarize it in their own words to check whether they read the article, whether they understand the information correctly (Grégoire et al., 2019), and whether they are alert and engaged (Hsu et al., 2017). 1 Our experiment was pre-registered at AsPredicted.org (2021). ...
... The stimuli were pre-tested to ensure construct validitythat is, to check that each article manipulates the form of awareness it is intended to manipulate (Grégoire et al., 2019;Hsu et al., 2017;Williams et al., 2019). For that pre-test, each of the 547 participants was randomly assigned to read one of the seven articles. ...
... The experiments conducted for this study measure the effect of different forms of awareness on EEI in a controlled setting, which may lead to questions about their external validity. Experiments are useful for examining causality but are not necessarily generalizable to other contexts (Hsu et al., 2017). Measuring the effects of specific forms of awareness and concern demands such an experimental approach, though, as experiments allow us to manipulate and analyze the effects of each form. ...
... Our study employs an online randomized experiment to investigate causal relationships between ESE, entrepreneurial personality, and decisionmaking. We use business students as our sample because they provide an appropriate population for a study on the business decision-making of nascent entrepreneurs (Hsu et al., 2017). Undergraduate business students are an appropriate representation of nascent entrepreneurs' perceptions as they are at the threshold of entrepreneurial activities and possess relevant educational backgrounds without substantial full-time entrepreneurial experience, reducing internal validity threats (Hsu et al., 2017;Stevenson et al., 2019). ...
... We use business students as our sample because they provide an appropriate population for a study on the business decision-making of nascent entrepreneurs (Hsu et al., 2017). Undergraduate business students are an appropriate representation of nascent entrepreneurs' perceptions as they are at the threshold of entrepreneurial activities and possess relevant educational backgrounds without substantial full-time entrepreneurial experience, reducing internal validity threats (Hsu et al., 2017;Stevenson et al., 2019). ...
... To ensure that the random assignment worked, we obtained demographic data. We waited a week before conducting the second session, the online experiment in t 1 , to reduce any carryover effects (Hsu et al., 2017). ...
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... A response in itself to the ongoing calls for more experiments in entrepreneurship notwithstanding (e.g. Hsu et al., 2017;Williams et al., 2019;Gr� egoire et al., 2019), the between-subjects randomly assigned priming, its proximal role on morally relativistic cognition, and its subsequent effects on rule-breaking behavior epitomize Wiklund et al. (2019) rousing vision. That is, a 'real' phenomenon discussed in the real world of entrepreneurship (i.e. that there's a rebel-like aspect to being entrepreneurial and this involves breaking rules) but probed with rigorous experimental techniques that can better support theoretically causal claims much more effectively than cross-section self-report survey designs-the norm holding many entrepreneurship outlets back from preeminence (Stevenson and Josefy, 2019). ...
... Vohs et al., 2006). Recently, entrepreneurship research has seen a rise in between-subjects experimental designs (Hsu et al., 2017;Gr� egoire et al., 2019) and suggested that priming techniques are suitable and effective for investigating entrepreneurial phenomena (cf. Baron and Ward, 2004;Gr� egoire and Lambert, 2014;Gupta et al., 2019;Vandor and Franke, 2016). ...
... Finally, cases were removed with incoherent or incomplete written responses. This resulted in a final sample of 139 (50% Female with an average age of 46.7) and is representative of most lab studies in entrepreneurship (Hsu et al., 2017). ...
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... It was therefore surprising to find that rational thinking enhanced the perception but not the utilization of costless cues, especially since we found a preference for experiential processing did not moderate the relationship between any cues and their perception or utilization. As suggested by Hsu et al. (2017), it is essential for researchers to incorporate different study designs and different samples to triangulate study results and enhance empirical rigor. To address the criticism that the significance and nonsignificance findings of Study 1 are attributable to a weakness of study design such as a weak manipulation, we conducted a follow-up experiment using the different manipulations of costly cues and costless cues as well as a different measure of the dependent variable to complement Study 1. ...
... They are considered noise or confounding factors in statistical analyses (Colquitt, 2008;Podsakoff & Podsakoff, 2019). The beauty of a randomized experiment, as we employed in this study, is that random assignment averages out individual differences, noise, and unobserved factors, thereby delivering robust results (Hsu et al., 2017). ...
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... Another stream of researchers dealt with quantitative research methods and explored and investigated possible relationships between various concepts in entrepreneurship research. This group was somewhat conservative at the very beginning (Hsu et al., 2017). Therefore, they primarily focused on exploring the characteristic traits of entrepreneurs or using management theories and their logic to define what the entrepreneurship lifestyle looks like or how entrepreneurs act (Bell, 1969). ...
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