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Statistical procedures and the justification of knowledge in psychological science.

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... Even when it comes to 'measuring' career prospects, there may be parallels (to citationbased numbers such as h-indices and JIFs) -at least historically in disciplines such as psychology. As Rosnow and Rosenthal (1989) point out, "It may not be an exaggeration to say that for many PhD students, for whom the .05 alpha has acquired almost an ontological mystique, it can mean joy, a doctoral degree, and a tenure-track position at a major university if their dissertation p is less than .05. ...
... However, with h papers having at least h citations each, the formula for combining both metrics is arbitrarily chosen: h 2 citations or 2h citations could have been used as well (see Waltman & van Eck, 2012); just as p < 0.06 or < 0.03 could become a convention instead of 0.05 and 0.01. Rosnow and Rosenthal (1989) put it like this: "...God loves the 0.06 nearly as much as the 0.05" (p. 1277), to which Cohen (1990) added "...amen!" (p. ...
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In science and beyond, quantifications are omnipresent when it comes to justifying judgments. Which scientific author, hiring committee-member, or advisory board panelist has not been confronted with page-long publication manuals, assessment reports, evaluation guidelines, calling for p-values, citation rates, h-indices, or other numbers to judge about the ‘quality’ of findings, applicants, or institutions? Yet, many of those of us relying on and calling for quantifications may not understand what information numbers can convey, and what not. Focusing on the uninformed usage of bibliometrics as worrisome outgrowth of the increasing quantification of science, in this opinion essay we place the abuse of quantifications into historical contexts and trends. These are characterized by mistrust in human intuitive judgment, obsessions with control and accountability, and a bureaucratization of science. We call for bringing common sense back into scientific (bibliometric-based) judgment exercises. Despite all number crunching, many judgments—be it about empirical findings or research institutions—will neither be straightforward, clear, and unequivocal, nor can they be ‘validated’ and be ‘objectified’ by external standards. We conclude that assessments in science ought to be understood as and be made as judgments under uncertainty.
... For assessment of reliability, Cronbach coefficient alpha is a widely accepted choice and most reported statistics (Rosnow and Rosenthal, 1992). In most literature α = 0.7 or more ensures having reliability (Hair et al., 1998). ...
... For assessment of reliability, Cronbach coefficient alpha is a widely accepted choice and most reported statistics (Rosnow and Rosenthal, 1992). In most literature α = 0.7 or more ensures having reliability (Hair et al., 1998). ...
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Purpose: The present research study aims to evaluate the impact of attitude, environmental concern, sensory appeal, trust in organic food, and willingness to pay price premium on millennials' purchase intention of organic food products. Moreover, it examines the direct and indirect effects of trust in organic food purchase intention. Design / Methodology: The present study is based 227 millennials responses collected via convenience sampling method through an online survey and by use of social media. The structured questionnaire was designed in the form of Google form, and a link for the same was shared online. The Collected data were analyzed by using confirmatory factor analysis (CFA), and structural equation modeling (SEM) with the help of AMOS 21 and SPSS 21. Findings: Findings suggest that willingness to pay price premium, attitude, and trust in organic food significantly influence purchase intention of organic food. In addition, environmental concern and sensory appeal have a significant positive impact on consumers' attitudes towards organic food products. Willingness to pay the price premium for organic food is positively influenced by trust in organic food. It empirically confirms that the trust in organic food has a more indirect effect than a direct effect on millennials' purchase intention. Research Limitations: The study is based on data collected through the method of convenience sampling, and hence discussed practical implications need to review before implementing in designing marketing strategies. Practical Implications: Marketing managers can make use of findings in developing effective marketing promotional campaigns focusing on developing a positive attitude towards organic food products, and willingness to pay extra can be influenced by instilling trust in organic food. Originality / Value: This paper explores the insights of millennials' purchase intention in the context of organic food. It is focusing on how environmental concern, sensory appeal, and trust in organic food, and willingness to pay price premium play an influencing role in millennials' consumption of organic food. Moreover, the direct and indirect effect of trust in organic food is examined as a novel contribution in the context of India.
... Has the world arrived at a point where significance testing becomes 'a kind of essential mindlessness in the conduct of research?' (Bakan, 1966) Researchers argued that it is not always sensible to accept or reject a hypothesis 'in a sharp sense' (Good, 1981) and it has no meaning in interpreting a sharp p-value when the strength of evidence can be better understood by the distribution in which the p-value is assessed. (Rosnow and Rosenthal, 1992) The p-value is a statistic whereby we reject the null hypothesis if the p-value is within the critical region of a distribution. And if it does not fall within the critical region, we do not reject the null hypothesis. ...
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Behavioral economics is a study of decision-making from the perspective of individual’s or institutions’ behavior arising from a departure from the classical economic theory. One example would be the differences in setting buying price and selling price for the same product due to the attachment one has with it. In an uncertain environment where events change rapidly, consumers are not able to indicate their buying price and selling price of the same product rationally, leading to a disparity in prices. And this disparity can be noticeably huge. Over the past 50 years, researchers in the field of psychology, decision science, and economics have studied the varied nature of the irrationality of consumers, and concluded that loss aversion remains the most credible explanation for the disparity. While buyers seek market valuation of products, sellers seek compensation for losing a product when it is sold. Researchers have named this phenomenon the endowment effect. In our research, we have shown that the endowment effect does not apply to a particular class of products - the time-sensitive and value-depreciating products or TSVD products. The selling price is determined by the loss in losing the chance to sell the TSVD products across different points in time, which is fundamentally expressed in the Loss Aversion Sensitivity function or LAS function. And we have shown that the selling price on average can be higher than the buying price on average when consumers’ field of decision-making is obscured. We call this effect the obscurity effect. We researched the obscurity effect using a quantitative survey questionnaire and tested 6 hypotheses in within-subject and between-subject designs using non-parametric and parametric statistical methods. We concluded that the TSVD products follow the LAS function, and the behavioral pattern was disrupted when the obscurity effect is observed. In our discussion, we have provided some explanations for the obscurity effect. These explanations include concepts coming from cognitive psychology, social psychology, and emotions. Finally, we presented two use cases whereby businesses can benefit from curtailing the obscurity effect. Definitions used in this paper are defined by mathematical logic and reasoning.
... The variables of gender and financing of studies did not prove to be significant. In principle, age could be considered to be significant in line with recommendations by Rosnow and Rosenthal (1992). Once the dependent variable has been standardised to calculate the effect size of this variable on the dependent variable, if the T-test is applied to independent samples, the result of Cohen's d is lower than 0.2, which indicates that it has an insignificant effect, Subsequently, a logistic regression model was constructed to express the probability of an event occurring, in this case the dependent variable Y = "Have you thought, at any time, about permanently dropping out of the university degree course that you are studying?" ...
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The analysis of the problem of dropout from university studies is a subject of great importance and topicality owing to the reper­cussions it has, not only in the economic and social sphere, but also at a personal, family, in­stitutional level, etc. The objective of this ar­ticle is to define a profile for a student who in­tends to abandon their university studies and who, therefore, is at risk of academic dropout. Various characteristics with a possible impact on this situation were analysed, both those of an individual, academic and socioeconomic nature and those which are personal. Specifi­cally, we studied the variables of age, gender, how studies are financed, average university grade and order of preference of the degree course, as well as those related to academic satisfaction, adaptability skills and the stu­dent’s academic engagement. The analysis was conducted on students at the Universi­dad de La Laguna (ULL) according to degree field and academic year. The results obtained show that the students with the highest risk of dropping out of the degree programme are those in their first year, mainly in the field of sciences, who have chosen the degree course they are studying that was their third choice or lower, their average university grade has been a fail, they have a low level of academic engagement and are not very satisfied with the educational process.
... But many psychological experiments do not seem to operate this way. For example, they are often used to shore up existing commonsense knowledge or preconceived facts and relationships about human nature already established prior to experimentation (e.g., Brannigan, 2004;Rosnow & Rosenthal, 1989). In PROMISES AND PERILS OF EXPERIMENTATION 6 fact, many classic social psychological experiments in the 20th century used experiments for such purposes, but still claimed to have offered a deep and elegant understanding of pressing societal problems and human nature. ...
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Researchers run experiments to test theories, search for and document phenomena, develop theories, or advise policymakers. When testing theories, experiments must be internally valid but do not have to be externally valid. However, when experiments are used to search for and document phenomena, develop theories, or advise policymakers, external validity matters. Conflating these goals and failing to recognize their tensions with validity concerns can lead to problems with theorizing. Experimenters in psychology should be aware of the mutual-internal-validity problem, long recognized by experimental economists. When phenomena elicited by experiments are used to develop theories that, in turn, influence the design of theory-testing experiments, experiments and theories can become wedded to each other and lose touch with reality. They capture and explain phenomena within but not beyond the laboratory. We highlight how triangulation can address validity problems by helping experiments and theories make contact with ideas from other disciplines and the real world.
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Supports J. Cohen's (see record 1995-12080-001) observations regarding the widespread abuse of null hypothesis significance testing and its deleterious consequences for knowledge development. The need to change the graduate training curriculum regarding the value of replication is also addressed. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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This article is addressed primarily to new researchers who feel burdened by an expanding body of ethical rules and regulations. Moral dilemmas proliferate as researchers try to strike a balance between ethical accountability and the technical demands of scientific practices. The challenge is to expand existing knowledge and abide by an evolving social contract that is responsive to current ethical sensitivities. This article illustrates dilemmas faced by researchers, examines some of the events leading up to the present situation and shows how researchers might exploit this situation, so that science and society can both benefit. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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