The Vase on the Mantelpiece: The Golden Section in Context

1997 ◽  
Vol 15 (2) ◽  
pp. 177-207 ◽  
Author(s):  
Vladimir J. KonečNi
Keyword(s):  
Real World ◽  
Ecological Validity ◽  
Golden Section ◽  
Psychology Students ◽  
Future Research ◽  
Methodological Issues ◽  
Traditional Methods ◽  
General Preference ◽  
Technical Details ◽  
Section Production

The golden section (GS) was investigated in three experiments ( N = 91, 87, and 73 psychology students, respectively), using both traditional methods (line bi-section, production of rectangles), and novel stimuli (contours and cutouts of vases constructed by the GS and non-GS principles) and tasks (the placement of “vases” on an imaginary and a laboratory, purpose-built, mantelpiece). In five different tasks, which varied considerably in technical details, there was absolutely no evidence for the significance of the GS, nor was there a general preference for the GS vases. Instead, the search for balance seemed to motivate the subjects' mantelpiece placement choices, guided by the area (“weight”), rather than the shape, of the vases. In addition, the results cast serious doubt on the generalizability of conclusions based on the research on rectangles to real-world aesthetic objects and choices. Other substantive and methodological issues, especially with regard to the future research on the GS, and to ecological validity, were discussed.

Games and Exercises for Teaching and Research: Exploring How Learning Varies Based on Fidelity and Participant Experience

2018 ◽  
Author(s):  
Erica Gralla ◽  
Zoe Szajnfarber
Keyword(s):  
Engineering Education ◽  
Empirical Research ◽  
Real World ◽  
Ecological Validity ◽  
The Other ◽  
Future Research ◽  
High Fidelity ◽  
Experience Level ◽  
Teaching And Research ◽  
Participant Experience

It has long been recognized that games are useful in engineering education, and more recently they have also become a common setting for empirical research. Games are useful for both teaching and research because they mimic aspects of reality and require participants to reason within that realistic context, and they allow researchers to study phenomena empirically that are hard to observe in reality. This paper explores what can be learned by students and by researchers, based on the authors’ experience with two sets of games. These games vary in both the experience level of the participants and the “fidelity” or realism of the game itself. Our experience suggests that what can be learned by participants and by researchers depends on both these dimensions. For teaching purposes, inexperienced participants may struggle to connect lessons from medium-fidelity games to the real world. On the other hand, experienced participants may learn more from medium-fidelity games that provide the time and support to practice and reflect on new skills. For research purposes, high-fidelity games are best due to their higher ecological validity, even with inexperienced participants, although experienced participants may enable strong validity in medium-fidelity settings. These findings are based on experience with two games, but provide promising directions for future research.

Neuropsychology in the Real World

2014 ◽  
Vol 25 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Martin Peper ◽  
Simone N. Loeffler
Keyword(s):  
Neuropsychological Assessment ◽  
Real World ◽  
Ecological Validity ◽  
Real Life ◽  
Emotional States ◽  
Context Sensitive ◽  
Traditional Assessment ◽  
Life Data ◽  
Real Life Data ◽  
Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

International Archival Auditing and Assurance Research: Trends, Methodological Issues, and Opportunities

2016 ◽  
Vol 35 (3) ◽  
pp. 1-32 ◽  
Author(s):  
Roger Simnett ◽  
Elizabeth Carson ◽  
Ann Vanstraelen
Keyword(s):  
Audit Quality ◽  
Research Trends ◽  
Data Sources ◽  
Quality Data ◽  
Research Articles ◽  
Future Research ◽  
Evidence Based ◽  
Methodological Issues ◽  
Comprehensive Review ◽  
Support Evidence

SUMMARY We present a comprehensive review of the 130 international archival auditing and assurance research articles that were published in eight leading accounting and auditing journals for 1995–2014. In order to support evidence-based international standard setting and regulation, and to identify what has been learned to date, we map this research to the International Auditing and Assurance Standards Board's (IAASB) Framework for Audit Quality. For the areas that have been well researched, we provide a summary of the findings and outline how they can inform standard setters and regulators. We also observe a significant evolution in international archival research over the 20 years of our study, as evidenced by the measures of audit quality, data sources used, and approaches used to address endogeneity concerns. Finally, we identify some challenges in undertaking international archival auditing and assurance research and identify opportunities for future research. Our review is of interest to researchers, practitioners, and standard setters/regulators involved in international auditing and assurance activities.

scholarly journals Combining Virtual Reality and Organizational Neuroscience for Leadership Assessment

2021 ◽  
Vol 11 (13) ◽  
pp. 5956
Author(s):  
Elena Parra ◽  
Irene Alice Chicchi Giglioli ◽  
Jestine Philip ◽  
Lucia Amalia Carrasco-Ribelles ◽  
Javier Marín-Morales ◽  
...  
Keyword(s):  
Machine Learning ◽  
Eye Tracking ◽  
Ecological Validity ◽  
Objective Assessment ◽  
Leadership Skills ◽  
Three Dimensional ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Promising Tool ◽  
Future Research Agenda

In this article, we introduce three-dimensional Serious Games (3DSGs) under an evidence-centered design (ECD) framework and use an organizational neuroscience-based eye-tracking measure to capture implicit behavioral signals associated with leadership skills. While ECD is a well-established framework used in the design and development of assessments, it has rarely been utilized in organizational research. The study proposes a novel 3DSG combined with organizational neuroscience methods as a promising tool to assess and recognize leadership-related behavioral patterns that manifest during complex and realistic social situations. We offer a research protocol for assessing task- and relationship-oriented leadership skills that uses ECD, eye-tracking measures, and machine learning. Seamlessly embedding biological measures into 3DSGs enables objective assessment methods that are based on machine learning techniques to achieve high ecological validity. We conclude by describing a future research agenda for the combined use of 3DSGs and organizational neuroscience methods for leadership and human resources.

Bringing Social Justice into the Statistics Classroom

2020 ◽  
pp. 009862832097987
Author(s):  
Tamera Garlington ◽  
Valerie M. Ryan ◽  
Catherine Nolty ◽  
Hannah Ilagan ◽  
Zachary J. Kunicki
Keyword(s):  
Social Psychology ◽  
Social Justice ◽  
Developmental Psychology ◽  
Statistical Tests ◽  
American Psychological Association ◽  
Psychology Students ◽  
Future Research ◽  
American Psychological ◽  
Pedagogical Tools ◽  
Student's Attitudes

Social justice is an American Psychological Association (APA) ethical principal which is often taught in content courses (e.g. social psychology, developmental psychology, introductory psychology) but rarely covered in psychological statistics courses. This is problematic, as psychology students may assume that bias is not an issue when implementing statistical tests and interpreting their results if social justice topics are not incorporated into statistics classrooms. The current study evaluated student’s attitudes toward a social justice lecture in a statistics classroom ( N = 100 students). Results show students had more favorable attitudes toward social justice and agreed it was important to cover in statistics classrooms. Future research should extend this work by seeking to replicate these findings and evaluating additional pedagogical tools to incorporate social justice into the statistics classroom.

scholarly journals It’s Time to Change Direction on Agility Research: a Call to Action

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Warren Young ◽  
Russell Rayner ◽  
Scott Talpey
Keyword(s):  
Ecological Validity ◽  
Primary Outcome Measure ◽  
Future Research ◽  
Call To Action ◽  
Change Of Direction ◽  
Movement Component ◽  
Research Questions ◽  
Action Coupling ◽  
Perception Action ◽  
Opinion Article

AbstractAgility is an important skill for both attackers and defenders in invasion sports such as codes of football. On the sporting field, agility requires reacting to a stimulus, often presented by an opponent’s movement, before a change of direction or speed. There is a plethora of research that examines the movement component of agility in isolation, which is described as change-of-direction (COD) ability, and this is thought to underpin agility performance. This opinion article proposes that COD ability should not be researched as the only or primary outcome measure when the objective is to inform agility performance in invasion sports. It is argued that pre-planned COD movements and tests lack ecological validity because they lack perception-action coupling and involve movement out of context from the game. The movement techniques and strength qualities required for the performance of COD tests can be quite different to those required for agility. It is suggested that COD tests can be applied to sports that involve pre-planned COD movements, but researchers should endeavour to use agility tests when studying invasion sports. Some new methods for assessing one-on-one agility contests are reported as potentially valuable for future research, and examples of research questions are provided.

General academic language in German-English translation: a nuanced view

2019 ◽  
Vol 64 (2) ◽  
pp. 230-268
Author(s):  
Dirk Siepmann
Keyword(s):  
English Translation ◽  
Academic Language ◽  
State Of The Art ◽  
Corpus Analysis ◽  
Future Research ◽  
Traditional Methods ◽  
Spatial Metaphor

Abstract Combining traditional methods with state-of-the-art corpus analysis, this article discusses problems associated with the translation of general academic lexis from German into English. In particular, it offers a more nuanced view on the often-made claim that there are ‘major differences’ between the two languages, many of which are said to stem from the spatial metaphorics underlying general academic German. Section 1 deals with problems that arise at the level of words and their lexico-syntactic environment, paying particular attention to spatial metaphor. Moving on to level of the paragraph, Section 2 continues the theme of spatial metaphor, showing how even quasi-terminological equivalents such as Struktur and structure exhibit subtle differences in use and may occasionally require re-metaphorization under the influence of the wider context. Section 3 provides a summary of the argument and suggests avenues for future research.

scholarly journals Revisiting the CompCars Dataset for Hierarchical Car Classification: New Annotations, Experiments, and Results

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 596
Author(s):  
Marco Buzzelli ◽  
Luca Segantin
Keyword(s):  
Real World ◽  
High Performance ◽  
Ad Hoc ◽  
Future Research ◽  
Levels Of Detail ◽  
Excellent Starting Point ◽  
Starting Point ◽  
Hierarchical Nature ◽  
Multiple Levels ◽  
Entire Dataset

We address the task of classifying car images at multiple levels of detail, ranging from the top-level car type, down to the specific car make, model, and year. We analyze existing datasets for car classification, and identify the CompCars as an excellent starting point for our task. We show that convolutional neural networks achieve an accuracy above 90% on the finest-level classification task. This high performance, however, is scarcely representative of real-world situations, as it is evaluated on a biased training/test split. In this work, we revisit the CompCars dataset by first defining a new training/test split, which better represents real-world scenarios by setting a more realistic baseline at 61% accuracy on the new test set. We also propagate the existing (but limited) type-level annotation to the entire dataset, and we finally provide a car-tight bounding box for each image, automatically defined through an ad hoc car detector. To evaluate this revisited dataset, we design and implement three different approaches to car classification, two of which exploit the hierarchical nature of car annotations. Our experiments show that higher-level classification in terms of car type positively impacts classification at a finer grain, now reaching 70% accuracy. The achieved performance constitutes a baseline benchmark for future research, and our enriched set of annotations is made available for public download.

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