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South Africa’S First Five Years On The United Nations Human Rights Council, Eduard Christiaan Jordaan Dec 2012

South Africa’S First Five Years On The United Nations Human Rights Council, Eduard Christiaan Jordaan

Research Collection School of Social Sciences

In June 2011, the United Nations Human Rights Council (HRC) adopted its first resolution on sexual orientation and human rights. Resolution 17/19 expressed grave concern at violence and discrimination committed against people because of their sexual orientation and tasked the UN High Commissioner for Human Rights to report on such abuses. In a body marred by regional bloc voting, Resolution 17/19 passed with support from states in all five of the official regions of the UN. South Africa was widely praised for leading such a progressive resolution through the Council, especially in the face of considerable pressure from African and …


The Impact Of Macro Socio-Economic Drivers And Fiscal Policy On Expenditure Allocation And Attribute Preferences, Anirban Mukherjee, Andre Bonfrer Dec 2012

The Impact Of Macro Socio-Economic Drivers And Fiscal Policy On Expenditure Allocation And Attribute Preferences, Anirban Mukherjee, Andre Bonfrer

Research Collection Lee Kong Chian School Of Business

Our article investigates the effect of macro socio-economic drivers on Australian households’ allocation of expenditure in a category (household appliances) and conditional on the allocated category expenditure, preferences for products (clothes washers) within the category. At the category-level, we quantify the effect of changes in social mobility, disposable income, housing prices and the 2009 stimulus payments on purchase propensity and expenditure. At the product-level, we investigate how households trade off between price, energy efficiency and loading capacity conditional on allocated category expenditure, measuring nonhomotheticity in preferences. We use the model to study a number of hypothetical scenarios, where we simulate …


The Effectiveness Of Trading Halts And Investor Trading Performance, Nareerat Taechapiroontong, Charlie Charoenwong, Chiyachantana N. Chiraphol, Radchda Lurang Dec 2012

The Effectiveness Of Trading Halts And Investor Trading Performance, Nareerat Taechapiroontong, Charlie Charoenwong, Chiyachantana N. Chiraphol, Radchda Lurang

Research Collection Lee Kong Chian School Of Business

This paper examines the effectiveness of trading halts and the trading performance of different types of investors or traders during halts in an Asian emerging equity market. We use trade-by-trade data flagged by types of traders between January 1999 and December 2007. The results suggest that trading halts improve the efficiency of the market by reducing the information asymmetry and stabilizing the market. Trading halts serve as devices to facilitate a price discovery process by giving investors opportunity to adjust their trading interests and reaction to the material information. Our findings show that return and volatility tend to revert to …


Validity Evidence For The Situational Judgment Test Paradigm In Emotional Intelligence Measurement, Nele Libbrecht, Filip Lievens Dec 2012

Validity Evidence For The Situational Judgment Test Paradigm In Emotional Intelligence Measurement, Nele Libbrecht, Filip Lievens

Research Collection Lee Kong Chian School Of Business

To date, various measurement approaches have been proposed to assess emotional intelligence (EI). Recently, two new EI tests have been developed based on the situational judgment test (SJT) paradigm: the Situational Test of Emotional Understanding (STEU) and the Situational Test of Emotion Management (STEM). Initial attempts have been made to examine the construct-related validity of these new tests; we extend these findings by placing the tests in a broad nomological network. To this end, 850 undergraduate students completed a personality inventory, a cognitive ability test, a self-report EI test, a performance-based EI measure, the STEU, and the STEM. The SJT-based …


Designing Selection Systems For Medicine: The Importance Of Balancing Predictive And Political Validity In High-Stakes Selection Contexts, Fiona Patterson, Filip Lievens, Máire Kerrin, Lara Zibarras, Bernd Carette Dec 2012

Designing Selection Systems For Medicine: The Importance Of Balancing Predictive And Political Validity In High-Stakes Selection Contexts, Fiona Patterson, Filip Lievens, Máire Kerrin, Lara Zibarras, Bernd Carette

Research Collection Lee Kong Chian School Of Business

Selection into medical education and training is a high-stakes process. A key unanswered issue is the effectiveness of measuring noncognitive predictors via both low-fidelity and high-fidelity selection approaches in this high-stakes context. We review studies investigating the effectiveness of multiple selection instruments in terms of predictive validity, incremental validity, and applicant reactions in both entry-level and advanced-level medical selection. Our results show that the situational judgment test (SJT) is the best single predictor of performance, operationalized in multiple ways. In addition, the low-fidelity SJT has incremental predictive power over cognitively oriented tests, and high-fidelity assessment center (AC) exercises add incremental …


Intraday Price Discovery In Emerging Equity Market: Analysis Of Set50 Index, Set 50 Index Futures And Thaidex Set50 (Tdex), Chiraphol New Chiyachantana, Julaluck Choochuay, Tanakorn Likitapiwat Dec 2012

Intraday Price Discovery In Emerging Equity Market: Analysis Of Set50 Index, Set 50 Index Futures And Thaidex Set50 (Tdex), Chiraphol New Chiyachantana, Julaluck Choochuay, Tanakorn Likitapiwat

Research Collection Lee Kong Chian School Of Business

This study employs Vector Error Correction Model (VECM), information share and conditional information share methods to investigate price discovery in SET50 Index (cash index), SET50 Index Futures (futures index) and ThaiDex SET50 (exchange traded fund). Our findings indicate that there exists a long run relationship among three markets and a multi-market trading of derivatives markets and its underlying asset helps improve price efficiency. With respect to the degree of price formation process, SET50 Index Futures contributes most in price discovery process, followed by SET50 Index and ThaiDex SET50.


Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram, Qianru Sun, Hong Liu Nov 2012

Action Disambiguation Analysis Using Normalized Google-Like Distance Correlogram, Qianru Sun, Hong Liu

Research Collection School Of Computing and Information Systems

Classifying realistic human actions in video remains challenging for existing intro-variability and inter-ambiguity in action classes. Recently, Spatial-Temporal Interest Point (STIP) based local features have shown great promise in complex action analysis. However, these methods have the limitation that they typically focus on Bag-of-Words (BoW) algorithm, which can hardly discriminate actions’ ambiguity due to ignoring of spatial-temporal occurrence relations of visual words. In this paper, we propose a new model to capture this contextual relationship in terms of pairwise features’ co-occurrence. Normalized Google-Like Distance (NGLD) is proposed to numerically measuring this co-occurrence, due to its effectiveness in semantic correlation analysis. …


A Historical Review And Assessment Of Urban Heat Island Research In Singapore, Matthias Roth, Winston T. L. Chow Nov 2012

A Historical Review And Assessment Of Urban Heat Island Research In Singapore, Matthias Roth, Winston T. L. Chow

Research Collection School of Social Sciences

This historical review of 20 studies since the 1960s examines the influence of urban development on the thermal environment in Singapore, a fast growing tropical island city-state. Past observations are critically assessed with regard to experimental controls and station metadata. Given the availability of historical climate and developmental data spanning almost 50 years, changes in urban heat island (UHI) intensity and spatial coverage can be traced temporally. Rapid urban expansion in Singapore is clearly reflected in spatially and temporally changing air and surface temperature patterns. The nocturnal canopy-layer UHI intensity – measured as the difference between the commercial urban core …


Audit Mechanisms For Provable Risk Management And Accountable Data Governance, Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha Nov 2012

Audit Mechanisms For Provable Risk Management And Accountable Data Governance, Jeremiah Blocki, Nicolas Christin, Anupam Datta, Arunesh Sinha

Research Collection School Of Computing and Information Systems

Organizations that collect and use large volumes of personal information are expected under the principle of accountable data governance to take measures to protect data subjects from risks that arise from inapproriate uses of this information. In this paper, we focus on a specific class of mechanisms—audits to identify policy violators coupled with punishments—that organizations such as hospitals, financial institutions, and Web services companies may adopt to protect data subjects from privacy and security risks stemming from inappropriate information use by insiders. We model the interaction between the organization (defender) and an insider (adversary) during the audit process as a …


Subgame Perfect Implementation Under Information Perturbations, Takashi Kunimoto, Drew Fudenberg, Takashi Kunimoto, Oliver Tercieux Nov 2012

Subgame Perfect Implementation Under Information Perturbations, Takashi Kunimoto, Drew Fudenberg, Takashi Kunimoto, Oliver Tercieux

Research Collection School Of Economics

We consider the robustness of extensive form mechanisms to deviations from common knowledge about the state of nature, which we refer to as information perturbations. First, we show that even under arbitrarily small information perturbations the Moore-Repullo mechanism does not yield (even approximately) truthful revelation and that in addition the mechanism has sequential equilibria with undesirable outcomes. More generally, we prove that any extensive form mechanism is fragile in the sense that if a non-Maskin monotonic social objective can be implemented with this mechanism, then there are arbitrarily small information perturbations under which an undesirable sequential equilibrium also exists. Finally, …


The Labor Supply And Welfare Effects Of Early Access To Medicare Through Social Security Disability Insurance, Kim Nov 2012

The Labor Supply And Welfare Effects Of Early Access To Medicare Through Social Security Disability Insurance, Kim

Research Collection School Of Economics

Social Security Disability Insurance (SSDI) beneficiaries receive a cash benefit and become eligible for health insurance from Medicare two years after their enrollment. Disabled workers who leave the labor force typically lose health insurance from their employers, and they face significant medical expenditure risk as a result of their disability. Therefore, access to Medicare makes SSDI an especially attractive alternative to remaining employed for workers with disabilities. My research is the first to analyze the importance of medical expenditure risk and Medicare in analysis of SSDI, and it addresses the following questions: (1) How does access to Medicare via SSDI …


Disclosure And Cost Of Equity Capital: An Analysis At The Market Level, Yan Li, Holly I-Hwa Yang Nov 2012

Disclosure And Cost Of Equity Capital: An Analysis At The Market Level, Yan Li, Holly I-Hwa Yang

Research Collection School Of Accountancy

This study examines whether disclosure reduces the market cost of capital. A stock’s implied cost of capital is defined as the expected return that equates its current price to the present value of its expected future free cash flows. We compute implied costs of capital for each firm and use their average as a measure of the market cost of capital. Using a sample of management forecasts issued between 1994 and 2010, we find that an increase in disclosure at the aggregate level results in a lower market cost of capital. This result is robust to alternative measures of disclosure …


Snap-And-Ask: Answering Multimodal Question By Naming Visual Instance, Wei Zhang, Lei Pang, Chong-Wah Ngo Nov 2012

Snap-And-Ask: Answering Multimodal Question By Naming Visual Instance, Wei Zhang, Lei Pang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

In real-life, it is easier to provide a visual cue when asking a question about a possibly unfamiliar topic, for example, asking the question, “Where was this crop circle found?”. Providing an image of the instance is far more convenient than texting a verbose description of the visual properties, especially when the name of the query instance is not known. Nevertheless, having to identify the visual instance before processing the question and eventually returning the answer makes multimodal question-answering technically challenging. This paper addresses the problem of visual-totext naming through the paradigm of answering-by-search in a two-stage computational framework, which …


Automatic Generation Of Provably Correct Embedded Systems, Shang-Wei Lin, Yang Liu, Pao-Ann Hsiung, Jun Sun, Jin Song Dong Nov 2012

Automatic Generation Of Provably Correct Embedded Systems, Shang-Wei Lin, Yang Liu, Pao-Ann Hsiung, Jun Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

With the demand for new and complicated features, embedded systems are becoming more and more difficult to design and verify. Even if the design of a system is verified, how to guarantee the consistency between the design and its implementation remains a big issue. As a solution, we propose a framework that can help a system designer to model his or her embedded system using a high-level modeling language, verify the design of the system, and automatically generate executable software codes whose behavior semantics are consistent with that of the high-level model. We use two case studies to demonstrate the …


More Anti-Chain Based Refinement Checking, Ting Wang, Songzheng Song, Jun Sun, Yang Liu, Jin Song Dong, Xinyu Wang, Shanping Li Nov 2012

More Anti-Chain Based Refinement Checking, Ting Wang, Songzheng Song, Jun Sun, Yang Liu, Jin Song Dong, Xinyu Wang, Shanping Li

Research Collection School Of Computing and Information Systems

Refinement checking plays an important role in system verification. It establishes properties of an implementation by showing a refinement relationship between the implementation and a specification. Recently, it has been shown that anti-chain based approaches increase the efficiency of trace refinement checking significantly. In this work, we study the problem of adopting anti-chain for stable failures refinement checking, failures-divergence refinement checking and probabilistic refine checking (i.e., a probabilistic implementation against a non-probabilistic specification). We show that the first two problems can be significantly improved, because the state space of the product model may be reduced dramatically. Though applying anti-chain for …


Singaporeans' Well-Being: It's Not Just About Emotions, David Chan Nov 2012

Singaporeans' Well-Being: It's Not Just About Emotions, David Chan

Research Collection School of Social Sciences

No abstract provided.


Estimating Dynamic Discrete Choice Models Of Product Differentiation: An Application To Medicare Part D With Switching Costs, Daniel P. Miller, Jungwon Yeo Nov 2012

Estimating Dynamic Discrete Choice Models Of Product Differentiation: An Application To Medicare Part D With Switching Costs, Daniel P. Miller, Jungwon Yeo

Research Collection School Of Economics

This paper proposes an algorithm to estimate dynamic discrete choice models using aggregate market share data. The algorithm achieves a computational advantage by decomposing the complicated mapping between market shares and utility flows into two simpler ones. The first maps observed market shares to mean choice specific values, and the second then maps to mean utility flows. In the application, we estimate switching costs in the Medicare Part D market. Our results indicate a large switching cost of around $1,700, which implies an average welfare loss of $480 as enrollees choose to remain in sub-optimal plans to avoid switching costs.


An Improved Authentication Scheme For H.264/Svc And Its Performance Evaluation Over Non-Stationary Wireless Mobile Networks, Yifan Zhao, Swee-Won Lo, Robert H. Deng, Xuhua Ding Nov 2012

An Improved Authentication Scheme For H.264/Svc And Its Performance Evaluation Over Non-Stationary Wireless Mobile Networks, Yifan Zhao, Swee-Won Lo, Robert H. Deng, Xuhua Ding

Research Collection School Of Computing and Information Systems

In this paper, a bit stream-based authentication scheme for H.264/Scalable Video Coding (SVC) is proposed. The proposed scheme seamlessly integrates cryptographic algorithms and erasure correction codes (ECCs) to SVC video streams such that the authenticated streams are format compliant with the SVC specifications and preserve the three dimensional scalability (i. e., spatial, quality and temporal) of the original streams. We implement our scheme on a smart phone and study its performance over a realistic bursty packet-lossy wireless mobile network. Our analysis and experimental results show that the scheme achieves very high verification rates with lower communication overhead and much smaller …


Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu Nov 2012

Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu

Research Collection School Of Computing and Information Systems

Over the years, the academic researchers have contributed various visual concept classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large number of classifiers from scratch despite expensive labeling efforts and limited computing resources. A valid question is why not multimedia community “embrace the green” and recycle off-the-shelf classifiers for new dataset. The difficulty originates from the domain gap that there are many different factors that govern the development of a classifier and eventually drive its performance to emphasize certain aspects of dataset. Reapplying a classifier to an unseen dataset may end up GIGO (garbage in, garbage …


Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang Nov 2012

Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang

Research Collection School Of Computing and Information Systems

Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …


Vireo@Trecvid 2012: Searching With Topology, Recounting Will Small Concepts, Learning With Free Examples, Wei Zhang, Chun-Chet Tan, Shi-Ai Zhu, Ting Yao, Lei Pang, Chong-Wah Ngo Nov 2012

Vireo@Trecvid 2012: Searching With Topology, Recounting Will Small Concepts, Learning With Free Examples, Wei Zhang, Chun-Chet Tan, Shi-Ai Zhu, Ting Yao, Lei Pang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

The vireo group participated in four tasks: instance search, multimedia event recounting, multimedia event detection, and semantic indexing. In this paper, we will present our approaches and discuss the evaluation results.


(Strong) Multidesignated Verifiers Signatures Secure Against Rogue Key Attack, Yunmei Zhang, Man Ho Au, Guomin Yang, Willy Susilo Nov 2012

(Strong) Multidesignated Verifiers Signatures Secure Against Rogue Key Attack, Yunmei Zhang, Man Ho Au, Guomin Yang, Willy Susilo

Research Collection School Of Computing and Information Systems

Designated verifier signatures (DVS) allow a signer to create a signature whose validity can only be verified by a specific entity chosen by the signer. In addition, the chosen entity, known as the designated verifier, cannot convince any body that the signature is created by the signer. Multi-designated verifiers signatures (MDVS) are a natural extension of DVS in which the signer can choose multiple designated verifiers. DVS and MDVS are useful primitives in electronic voting and contract signing. In this paper, we investigate various aspects of MDVS and make two contributions. Firstly, we revisit the notion of unforgeability under rogue …


Us Presidential Election 2012 Prediction Using Census Corrected Twitter Model, Junyu Choy, Michelle L. F. Cheong, Nang Laik Ma, Ping Shung Koo Nov 2012

Us Presidential Election 2012 Prediction Using Census Corrected Twitter Model, Junyu Choy, Michelle L. F. Cheong, Nang Laik Ma, Ping Shung Koo

Research Collection School Of Computing and Information Systems

US Presidential Election 2012 has been a very tight race between the two key candidates. Therewere intense battle between the two key candidates. The election reflects the sentiment of theelectorate towards the achievements of the incumbent President Obama. The campaign lastedseveral months and the effects can be felt in the internet and twitter. The presidential debatesinjected new vigor in the challenger's campaign and successfully captured the electorate of severalstates posing a threat to the incumbent's position. Much of the sentiment in the election has beencaptured in the online discussions. In this paper, we will be using the original model described …


Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin Nov 2012

Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin

Research Collection School Of Computing and Information Systems

This paper provides a very useful and promising analysis and comparison of current architectures of autonomous intelligent systems acting in real time and specific contexts, with all their constraints. The chosen issue of Cognitive Architectures and Autonomy is really a challenge for AI current projects and future research. I appreciate and endorse not only that challenge but many specific choices and claims; in particular: (i) that “autonomy” is a key concept for general intelligent systems; (ii) that “a core issue in cognitive architecture is the integration of cognitive processes ....”; (iii) the analysis of features and capabilities missing in current …


A Unified Learning Framework For Auto Face Annotation By Mining Web Facial Images, Dayong Wang, Steven C. H. Hoi, Ying He Nov 2012

A Unified Learning Framework For Auto Face Annotation By Mining Web Facial Images, Dayong Wang, Steven C. H. Hoi, Ying He

Research Collection School Of Computing and Information Systems

Auto face annotation plays an important role in many real-world multimedia information and knowledge management systems. Recently there is a surge of research interests in mining weakly-labeled facial images on the internet to tackle this long-standing research challenge in computer vision and image understanding. In this paper, we present a novel unified learning framework for face annotation by mining weakly labeled web facial images through interdisciplinary efforts of combining sparse feature representation, content-based image retrieval, transductive learning and inductive learning techniques. In particular, we first introduce a new search-based face annotation paradigm using transductive learning, and then propose an effective …


Neural Modeling Of Episodic Memory: Encoding, Retrieval, And Forgetting, Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk Oct 2012

Neural Modeling Of Episodic Memory: Encoding, Retrieval, And Forgetting, Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk

Research Collection School Of Computing and Information Systems

This paper presents a neural model that learns episodic traces in response to a continuous stream of sensory input and feedback received from the environment. The proposed model, based on fusion Adaptive Resonance Theory (fusion ART) network, extracts key events and encodes spatio-temporal relations between events by creating cognitive nodes dynamically. The model further incorporates a novel memory search procedure, which performs parallel search of stored episodic traces continuously. Combined with a mechanism of gradual forgetting, the model is able to achieve a high level of memory performance and robustness, while controlling memory consumption over time. We present experimental studies, …


The Triangular Relationship Between Audit Committee Characteristics, Audit Input And Financial Reporting Quality, Jae Bum Kim, Benjamin Segal, Dan Segal, Yoonseok Zang Oct 2012

The Triangular Relationship Between Audit Committee Characteristics, Audit Input And Financial Reporting Quality, Jae Bum Kim, Benjamin Segal, Dan Segal, Yoonseok Zang

Research Collection School Of Accountancy

Using the reforms to audit committees mandated by the Sarbanes-Oxley Act of 2002 and the difference-in-difference approach, we examine the impact of changes in audit committee attributes (financial expertise, size and independence) on the corporate commitment to audit assurance and on the likelihood of financial statement restatements. Firms that were directly affected by the reforms experienced a greater improvement in audit inputs (measured by audit fees and the appointment of an industry specialist auditor) and a larger decline in financial statements restatements relative to firms that had already been compliant. Importantly, we find that the decline in restatements is not …


Entity Synonyms For Structured Web Search, Tao Cheng, Hady W. Lauw, Stelios Paparizos Oct 2012

Entity Synonyms For Structured Web Search, Tao Cheng, Hady W. Lauw, Stelios Paparizos

Research Collection School Of Computing and Information Systems

Nowadays, there are many queries issued to search engines targeting at finding values from structured data (e.g., movie showtime of a specific location). In such scenarios, there is often a mismatch between the values of structured data (how content creators describe entities) and the web queries (how different users try to retrieve them). Therefore, recognizing the alternative ways people use to reference an entity, is crucial for structured web search. In this paper, we study the problem of automatic generation of entity synonyms over structured data toward closing the gap between users and structured data. We propose an offline, data-driven …


Information Retrieval Based Nearest Neighbor Classification For Fine-Grained Bug Severity Prediction, Yuan Tian, David Lo, Chengnian Sun Oct 2012

Information Retrieval Based Nearest Neighbor Classification For Fine-Grained Bug Severity Prediction, Yuan Tian, David Lo, Chengnian Sun

Research Collection School Of Computing and Information Systems

Bugs are prevalent in software systems. Some bugs are critical and need to be fixed right away, whereas others are minor and their fixes could be postponed until resources are available. In this work, we propose a new approach leveraging information retrieval, in particular BM25-based document similarity function, to automatically predict the severity of bug reports. Our approach automatically analyzes bug reports reported in the past along with their assigned severity labels, and recommends severity labels to newly reported bug reports. Duplicate bug reports are utilized to determine what bug report features, be it textual, ordinal, or categorical, are important. …


Handling Interpretation And Representation In Multilingual Research: A Meta-Study Of Pragmatic Issues Resulting From The Use Of Multiple Languages In A Qualitative Information Systems Research Work, Ilse Baumgartner Oct 2012

Handling Interpretation And Representation In Multilingual Research: A Meta-Study Of Pragmatic Issues Resulting From The Use Of Multiple Languages In A Qualitative Information Systems Research Work, Ilse Baumgartner

Research Collection School Of Computing and Information Systems

Although the number of multilingual qualitative research studies appears to be growing, investigations concerned with methodological issues arising from the use of several languages within a single research are still very scarce. Most of these seem to deal exclusively with issues related to the use of interpreters and translators in qualitative research (e.g., Temple & Edwards, 2002; Temple, Edwards & Alexander, 2006; Edwards, 1998; Temple & Young 2004). Methodological investigations going beyond pure translation dilemmas in qualitative research are, however, almost non-existent. The reason for this seems to be simple: the situation where the researcher possesses mother-tongue fluency in all …