Commentary on Cronbach’s ‘The Two Disciplines of Scientific Psychology’ In this paper Lee Cronbach delivers his visionary presidential address to the American Psychological Association (APA), calling for the unification of experimental and correlational psychology in which he argued that psychology continues to this day to be limited by the dedication of its investigators to one or the other method of inquiry rather than to scientific psychology as a whole. He discusses the two streams on branches
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legal point of view, what constitutes privacy is essentially the expectation of the individual. The U.S. Supreme Court has defined what this expectation standard is and established tests for determining it but such a review is beyond the scope of this paper. In essence, however, the Supreme Court has ruled that for the most part the employer is endowed with the power of
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Students learn important criterion for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis – including parametric and nonparametric tests of hypothesis and regression analysis. Cooper, D.R., & Schindler, P.S. (2006). Business research methods (9th ed.). Boston, MA: McGraw-Hill/Irwin. Lind
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together as a discipline is the history of the theoretical approaches, which promote cultural diversity and field research as a unique methodology. Therefore, the paper focuses on the four sub-fields of anthropology and what hold them together as part of one wide discipline. It also evaluates the historical reasons for their developments and example of the area of anthropological research that brings these four fields together. The physical anthropology deals with humans as biological organisms. This
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ESADE WORKING PAPER Nº 239 September 2012 Value congruence in organizations: Literature review, theoretical perspectives, and future directions Yuanjie Bao Simon Dolan Shay S. Tzafrir ESADE Working Papers Series Available from ESADE Knowledge Web: www.esadeknowledge.com © ESADE Avda. Pedralbes, 60-62 E-08034 Barcelona Tel.: +34 93 280 61 62 ISSN 2014-8135 Depósito Legal: B-3449-2012 Value congruence in organizations: Literature review, theoretical perspectives, and future directions
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How to integrate technology-enhanced learning with business process management Nicola Capuano, Matteo Gaeta, Pierluigi Ritrovato and Saverio Salerno Abstract Purpose – The purpose of this paper is to propose an innovative approach for providing an answer to the emerging trends on how to integrate e-learning efficiently in the business value chain in medium and large enterprises. Design/methodology/approach – The proposed approach defines methodologies and technologies for integrating technology-enhanced
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Paper Title Author Institutional Affiliation Abstract The abstract (in block format) begins on the line following the Abstract heading. The abstract is a one-paragraph, self-contained summary of the most important elements of the paper. Nothing should appear in the abstract that is not included in the body of the paper. Word limits for abstracts are set by individual journals. Most journals have word limits for abstracts between 150 and 250 words. All numbers in the abstract (except those
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Papers should include a critical view of how investigators have made choices regarding each of the important steps in the research process that we cover in class. What we're really interested in at each step is how much a single methodological choice dominates the research area, and therefore the errors inherent in such a dominant choice, that might underlie general conclusions about substantive phenomena. To reduce some of ambiguity about what these choices or points of criticism
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Department of Agricultural and Resource Economics ARE 100B Dr. Larson Spring 2014 Some Suggestions for Writing the Optional Class Paper Due Date: Friday, June 6, 2014 at 5 p.m. (Late papers lose 10%/day in grade.) The purpose of the paper: This provides an alternative way for you to demonstrate your understanding of the tools of economic analysis covered in this course, as applied to a contemporary public policy issue involving market power or other topics related to the course. The topic is of your choosing
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usage of all the training samples for classification, (ii) the performance is solely dependent on the training set, and (iii) there is no weight difference between samples. To overcome these limitations, an improved version of KNN is proposed in this paper. Genetic Algorithm (GA) is combined with KNN to improve its classification performance. Instead of considering all the training samples and taking k-neighbors, the GA is employed to take k-neighbors straightaway and then calculate the distance to classify
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