Understanding perceptions and beliefs about different types of fermented milks through the application of projective techniques: A case study using Haire's shopping list and free word association

2018 ◽  
Vol 33 (3) ◽  
pp. e12326 ◽  
Author(s):  
Letícia de Paula F. Pinto ◽  
Hugo L. A. Silva ◽  
Shigeno P. Kuriya ◽  
Paula M. Maçaira ◽  
Fernando L. Cyrino Oliveira ◽  
...  
Author(s):  
Alyce Campos ◽  
Thaísa Nascimento ◽  
Frederico Oliveira ◽  
Luiz Henrique Vilas Boas ◽  
Daniel Rezende

Projective techniques, widely used in marketing research, encourage interviewees to talk about other people so that researchers can discover deep feelings and circumvent psychological prejudices. The present study analyzes empirical publications that involve the use of projective techniques in marketing. For this, two specific objectives were defined: to analyze if the publications are using only projective techniques or are being combined with other techniques and to identify which types of projective techniques are being used. The results were divided into bibliographic analysis and semantic analysis. In the first one, the evolution of the publications per year and the periodicals that most published articles using projective marketing research techniques, as Qualitative Market Research and the International Journal of Market Research, are presented. In the second, a qualitative analysis was performed, observing that half of the publications used only projective techniques while the other part combined with other data collection techniques such as interviews, focus groups, case studies and quantitative studies. The types of projective techniques more frequently employed were word association, sentence completion, Haire’s shopping list, thematic perception test, collages, drawings, scenarios, and third-person technique.


2016 ◽  
Vol 10 (1) ◽  
pp. 122 ◽  
Author(s):  
Basturk Kaya ◽  
Caner Aladag

The objective of this study is to determine the cognitive structures of the students of geography teaching department by identifying their conceptual frameworks about the concept of earthquake. A case study design from qualitative research approaches was used in this research. Sample group of the study constitutes 155 students from the Department of Geography Teaching who took the course of natural disasters. Free Word Association Test was used to collect the data. The data were evaluated according to the content analysis, categories were formed according to the results of this evaluation and frequencies and percentages of the response words in each category were calculated. A total of 9 categories were created according to their semantic associations. Some of them are; “concepts about earthquake, damages of the earthquake, a category of defining earthquake, types and causes of earthquakes, landforms caused by earthquakes and other effects” and they form the dominant categories. The frequencies and percentages of some categories are low such as; “The things that earthquake makes feel, regions where earthquakes happened before or there is a possibility to happen, people, institutions and organizations about earthquakes, helping to the victims of the earthquakes, factors affecting the safety of life and property in the earthquake”. In addition, this study revealed that students have some alternative concepts about earthquake.


2017 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
John Harner ◽  
Lee Cerveny ◽  
Rebecca Gronewold

Natural resource managers need up-to-date information about how people interact with public lands and the meanings these places hold for use in planning and decision-making. This case study explains the use of public participatory Geographic Information System (GIS) to generate and analyze spatial patterns of the uses and values people hold for the Browns Canyon National Monument in Colorado. Participants drew on maps and answered questions at both live community meetings and online sessions to develop a series of maps showing detailed responses to different types of resource uses and landscape values. Results can be disaggregated by interaction types, different meaningful values, respondent characteristics, seasonality, or frequency of visit. The study was a test for the Bureau of Land Management and US Forest Service, who jointly manage the monument as they prepare their land management plan. If the information generated is as helpful throughout the entire planning process as initial responses seem, this protocol could become a component of the Bureau’s planning tool kit.


1997 ◽  
Vol 84 (1) ◽  
pp. 171-175
Author(s):  
Pantaleon Fassbender

Relevance and scope of projective techniques for the purpose of organizational consulting are discussed. As an example, responses to a word-association task requiring each participant to visualize his company as an animal were compared with the rated appraisal for different values and qualifications as elements of corporate success. The sample consisted of 219 German managers (48% of them were CEOs or board members). Meaningful relationships between the choice of certain animals and value preferences were shown. Finally, widespread disapproval of projective techniques in management diagnosis and organizational consulting may be challenged.


The effective altruism movement consists of a growing global community of people who organize significant parts of their lives around two key ideas, represented in its name. Altruism: If we use a significant portion of the resources in our possession—whether money, time, or talents—with a view to helping others, we can improve the world considerably. Effectiveness: When we do put such resources to altruistic use, it is crucial to focus on how much good this or that intervention is reasonably expected to do per unit of resource expended (for example, per dollar donated). While global poverty is a widely used case study in introducing and motivating effective altruism, if the ultimate aim is to do the most good one can with the resources expended, it is far from obvious that global poverty alleviation is highest priority cause area. In addition to ranking possible poverty-alleviation interventions against one another, we can also try to rank interventions aimed at very different types of outcome against one another. This includes, for example, interventions focusing on animal welfare or future generations. The scale and organization of the effective altruism movement encourage careful dialogue on questions that have perhaps long been there, throwing them into new and sharper relief, and giving rise to previously unnoticed questions. In the present volume, the first of its kind, a group of internationally recognized philosophers, economists, and political theorists contribute in-depth explorations of issues that arise once one takes seriously the twin ideas of altruistic commitment and effectiveness.


Author(s):  
Andrea B. Temkin ◽  
Mina Yadegar ◽  
Christine Cho ◽  
Brian C. Chu

In recent years, the field of clinical psychology has seen a growing movement toward the research and development of transdiagnostic treatments. Transdiagnostic approaches have the potential to address numerous issues related to the development and treatment of mental disorders. Among these are the high rates of comorbidity across disorders, the increasing need for efficient protocols, and the call for treatments that can be more easily disseminated. This chapter provides a review of the current transdiagnostic treatment approaches for the treatment of youth mental disorders. Three different types of transdiagnostic protocols are examined: mechanism-based protocols, common elements treatments, and general treatment models that originated from single-disorder approaches to have broader reach. A case study illuminates how a mechanism-based approach would inform case conceptualization for a client presenting with internalizing and externalizing symptoms and how a transdiagnostic framework translates into practice.


Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 150
Author(s):  
Nilgün Güdük ◽  
Miguel de la Varga ◽  
Janne Kaukolinna ◽  
Florian Wellmann

Structural geological models are widely used to represent relevant geological interfaces and property distributions in the subsurface. Considering the inherent uncertainty of these models, the non-uniqueness of geophysical inverse problems, and the growing availability of data, there is a need for methods that integrate different types of data consistently and consider the uncertainties quantitatively. Probabilistic inference provides a suitable tool for this purpose. Using a Bayesian framework, geological modeling can be considered as an integral part of the inversion and thereby naturally constrain geophysical inversion procedures. This integration prevents geologically unrealistic results and provides the opportunity to include geological and geophysical information in the inversion. This information can be from different sources and is added to the framework through likelihood functions. We applied this methodology to the structurally complex Kevitsa deposit in Finland. We started with an interpretation-based 3D geological model and defined the uncertainties in our geological model through probability density functions. Airborne magnetic data and geological interpretations of borehole data were used to define geophysical and geological likelihoods, respectively. The geophysical data were linked to the uncertain structural parameters through the rock properties. The result of the inverse problem was an ensemble of realized models. These structural models and their uncertainties are visualized using information entropy, which allows for quantitative analysis. Our results show that with our methodology, we can use well-defined likelihood functions to add meaningful information to our initial model without requiring a computationally-heavy full grid inversion, discrepancies between model and data are spotted more easily, and the complementary strength of different types of data can be integrated into one framework.


Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5300
Author(s):  
Antonia Nisioti ◽  
George Loukas ◽  
Stefan Rass ◽  
Emmanouil Panaousis

The use of anti-forensic techniques is a very common practice that stealthy adversaries may deploy to minimise their traces and make the investigation of an incident harder by evading detection and attribution. In this paper, we study the interaction between a cyber forensic Investigator and a strategic Attacker using a game-theoretic framework. This is based on a Bayesian game of incomplete information played on a multi-host cyber forensics investigation graph of actions traversed by both players. The edges of the graph represent players’ actions across different hosts in a network. In alignment with the concept of Bayesian games, we define two Attacker types to represent their ability of deploying anti-forensic techniques to conceal their activities. In this way, our model allows the Investigator to identify the optimal investigating policy taking into consideration the cost and impact of the available actions, while coping with the uncertainty of the Attacker’s type and strategic decisions. To evaluate our model, we construct a realistic case study based on threat reports and data extracted from the MITRE ATT&CK STIX repository, Common Vulnerability Scoring System (CVSS), and interviews with cyber-security practitioners. We use the case study to compare the performance of the proposed method against two other investigative methods and three different types of Attackers.


Coatings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 207
Author(s):  
Pavel Koštial ◽  
Zora Koštialová Jančíková ◽  
Robert Frischer

These days there are undeniably unique materials that, however, must also meet demanding safety requirements. In the case of vehicles, these are undoubtedly excellent fire protection characteristics. The aim of the work is to experimentally verify the proposed material compositions for long-term heat loads and the effect of thickness, the number of laminating layers (prepregs) as well as structures with different types of cores (primarily honeycomb made of Nomex paper type T722 of different densities, aluminum honeycomb and PET foam) and composite coating based on a glass-reinforced phenolic matrix. The selected materials are suitable candidates for intelligent sandwich structures, usable especially for interior cladding applications in the industry for the production of means of public transport (e.g., train units, trams, buses, hybrid vehicles).


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