Careless Responding and Insufficient Effort Responding

2021 ◽  
Author(s):  
Jason L. Huang ◽  
Zhonghao Wang
Keyword(s):  
Control Variable ◽  
Detection Methods ◽  
Future Research ◽  
Individual Response ◽  
Psychological States ◽  
Deviant Behaviors ◽  
Fit Statistics ◽  
Careless Responding ◽  
Survey Length ◽  
Business And Management

Careless responding, also known as insufficient effort responding, refers to survey/test respondents providing random, inattentive, or inconsistent answers to question items due to lack of effort in conforming to instructions, interpreting items, and/or providing accurate responses. Researchers often use these two terms interchangeably to describe deviant behaviors in survey/test responding that threaten data quality. Careless responding threatens the validity of research findings by bringing in random and systematic errors. Specifically, careless responding can reduce measurement reliability, while under specific circumstances it can also inflate the substantive relations between variables. Numerous factors can explain why careless responding happens (or does not happen), such as individual difference characteristics (e.g., conscientiousness), survey characteristics (e.g., survey length), and transient psychological states (e.g., positive and negative affect). To identify potential careless responding, researchers can use procedural detection methods and post hoc statistical methods. For example, researchers can insert detection items (e.g., infrequency items, instructed response items) into the questionnaire, monitor participants’ response time, and compute statistical indices, such as psychometric antonym/synonym, Mahalanobis distance, individual reliability, individual response variability, and model fit statistics. Application of multiple detection methods would be better able to capture careless responding given convergent evidence. Comparison of results based on data with and without careless respondents can help evaluate the degree to which the data are influenced by careless responding. To handle data contaminated by careless responding, researchers may choose to filter out identified careless respondents, recode careless responses as missing data, or include careless responding as a control variable in the analysis. To prevent careless responding, researchers have tried utilizing various deterrence methods developed from motivational and social interaction theories. These methods include giving warning, rewarding, or educational messages, proctoring the process of responding, and designing user-friendly surveys. Interest in careless responding has been growing not only in business and management but also in other related disciplines. Future research and practice on careless responding in the business and management areas can also benefit from findings in other related disciplines.

scholarly journals Detecting Careless Responding in Survey Data Using Stochastic Gradient Boosting

2021 ◽  
pp. 001316442110047
Author(s):  
Ulrich Schroeders ◽  
Christoph Schmidt ◽  
Timo Gnambs
Keyword(s):  
Response Times ◽  
Reliability And Validity ◽  
Simulated Data ◽  
Detection Methods ◽  
Gradient Boosting ◽  
Future Research ◽  
Additional Information ◽  
Stochastic Gradient Boosting ◽  
Careless Responding ◽  
Detection Mechanisms

Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus items), auxiliary or paradata (e.g., response times), or data-driven statistical techniques (e.g., Mahalanobis distance). In the present study, gradient boosted trees, a state-of-the-art machine learning technique, are introduced to identify careless respondents. The performance of the approach was compared with established techniques previously described in the literature (e.g., statistical outlier methods, consistency analyses, and response pattern functions) using simulated data and empirical data from a web-based study, in which diligent versus careless response behavior was experimentally induced. In the simulation study, gradient boosting machines outperformed traditional detection mechanisms in flagging aberrant responses. However, this advantage did not transfer to the empirical study. In terms of precision, the results of both traditional and the novel detection mechanisms were unsatisfactory, although the latter incorporated response times as additional information. The comparison between the results of the simulation and the online study showed that responses in real-world settings seem to be much more erratic than can be expected from the simulation studies. We critically discuss the generalizability of currently available detection methods and provide an outlook on future research on the detection of aberrant response patterns in survey research.

Is Cannabis Tourism Deviant? A Theoretical Perspective

2019 ◽  
Vol 23 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Tianyu Ying ◽  
Jun Wen ◽  
Hairong Shan
Keyword(s):  
Moral Identity ◽  
Deviant Behavior ◽  
Theoretical Perspective ◽  
Research Note ◽  
Future Research ◽  
Research Directions ◽  
Tourism Research ◽  
Self Identity ◽  
Deviant Behaviors ◽  
Future Research Directions

With the growth of cannabis tourism, destinations such as the Netherlands have begun to offer cannabis-related products and services to visitors, including tourists from countries where all drugs are strictly prohibited. Yet limited research has sought to understand cannabis-oriented tourists' efforts to neutralize deviant connotations, namely by justifying or rationalizing misbehavior, when deciding to participate in cannabis tourism. This research note proposes a framework of deviant consumption behavior (DCB) constructed of geographic shifting, self-identity shifting, and moral identity shifting from the perspective of cannabis-oriented tourists to delineate tourists' decision-making process around engaging in deviant behaviors. The proposed framework suggests that previously developed DCB frameworks in the marketing and consumer behavior literature should be adapted for use in outbound tourism research. This research note also highlights areas for debate and investigation regarding cannabis tourists' deviant behavior. Future research directions are provided based on the proposed framework as it applies to deviant tourism research.

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

scholarly journals Review of Electrochemical DNA Biosensors for Detecting Food Borne Pathogens

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4916 ◽  
Author(s):  
Qiaoyun Wu ◽  
Yunzhe Zhang ◽  
Qian Yang ◽  
Ning Yuan ◽  
Wei Zhang
Keyword(s):  
Pathogen Detection ◽  
Low Cost ◽  
Electrochemical Techniques ◽  
Ease Of Use ◽  
Detection Methods ◽  
Future Research ◽  
Dna Biosensors ◽  
Food Borne Pathogens ◽  
Chip Technology ◽  
Food Borne

The vital importance of rapid and accurate detection of food borne pathogens has driven the development of biosensor to prevent food borne illness outbreaks. Electrochemical DNA biosensors offer such merits as rapid response, high sensitivity, low cost, and ease of use. This review covers the following three aspects: food borne pathogens and conventional detection methods, the design and fabrication of electrochemical DNA biosensors and several techniques for improving sensitivity of biosensors. We highlight the main bioreceptors and immobilizing methods on sensing interface, electrochemical techniques, electrochemical indicators, nanotechnology, and nucleic acid-based amplification. Finally, in view of the existing shortcomings of electrochemical DNA biosensors in the field of food borne pathogen detection, we also predict and prospect future research focuses from the following five aspects: specific bioreceptors (improving specificity), nanomaterials (enhancing sensitivity), microfluidic chip technology (realizing automate operation), paper-based biosensors (reducing detection cost), and smartphones or other mobile devices (simplifying signal reading devices).

Risk assessment of waterborne protozoa: current status and future trends

Parasitology ◽  
1999 ◽  
Vol 117 (7) ◽  
pp. 205-212 ◽  
Author(s):  
C. J. GIBSON ◽  
C. N. HAAS ◽  
J. B. ROSE
Keyword(s):  
Risk Assessment ◽  
Management Practices ◽  
Assessment Methods ◽  
Detection Methods ◽  
Current Status ◽  
Future Research ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Chemical Risk Assessment ◽  
Low Levels

Throughout the past decade much research has been directed towards identifying the occurrence, epidemiology, and risks associated with waterborne protozoa. While outbreaks are continually documented, sporadic cases of disease associated with exposure to low levels of waterborne protozoa are of increasing concern. Current methodologies may not be sensitive enough to define these low levels of disease. However, risk assessment methods may be utilised to address these low level contamination events. The purpose of this article is to provide an introduction to microbial risk assessment for waterborne protozoa. Risk assessment is a useful tool for evaluating relative risks and can be used for development of policies to decrease risks. Numerous studies have been published on risk assessment methods for pathogenic protozoa including Cryptosporidium and Giardia. One common notion prevails: microbial risk assessment presents interesting complications to the traditional chemical risk assessment paradigm. Single microbial exposures (non-threshold) are capable of causing symptomatic illness unlike traditional chemical exposures, which require a threshold to be reached. Due to the lack of efficient recovery and detection methods for protozoa, we may be underestimating the occurrence, concentration and distribution of these pathogenic micro-organisms. To better utilize the tool of microbial risk assessment for risk management practices, future research should focus in the area of exposure assessment.

Deepfake videos: synthesis and detection techniques –a survey

2021 ◽  
pp. 1-21
Author(s):  
Shahela Saif ◽  
Samabia Tehseen
Keyword(s):  
Social Systems ◽  
Generative Models ◽  
Detection Methods ◽  
Future Research ◽  
Fake News ◽  
Research Directions ◽  
Detection Techniques ◽  
Future Research Directions ◽  
Video Creation ◽  
The One

Deep learning has been used in computer vision to accomplish many tasks that were previously considered too complex or resource-intensive to be feasible. One remarkable application is the creation of deepfakes. Deepfake images change or manipulate a person’s face to give a different expression or identity by using generative models. Deepfakes applied to videos can change the facial expressions in a manner to associate a different speech with a person than the one originally given. Deepfake videos pose a serious threat to legal, political, and social systems as they can destroy the integrity of a person. Research solutions are being designed for the detection of such deepfake content to preserve privacy and combat fake news. This study details the existing deepfake video creation techniques and provides an overview of the deepfake datasets that are publicly available. More importantly, we provide an overview of the deepfake detection methods, along with a discussion on the issues, challenges, and future research directions. The study aims to present an all-inclusive overview of deepfakes by providing insights into the deepfake creation techniques and the latest detection methods, facilitating the development of a robust and effective deepfake detection solution.

The propensity to business startup

2017 ◽  
Vol 9 (3) ◽  
pp. 263-285 ◽  
Author(s):  
Abdul Rahim Abu Bakar ◽  
Syed Zamberi Ahmad ◽  
Norman S. Wright ◽  
Hazbo Skoko
Keyword(s):  
Control Variable ◽  
Binary Logistic Regression ◽  
Future Research ◽  
High Status ◽  
Content Type ◽  
Moderating Variables ◽  
Social Legitimacy ◽  
Gender And Education ◽  
Business Startup ◽  
Determining Factors

Purpose The purpose of this study is to assess the determining factors of entrepreneurial business startup in Saudi Arabia from an eclectic perspective. Design/methodology/approach Based on Global Entrepreneurship Monitor data of 2000 Saudi Arabian respondents, the study analyzes a multitude of individual factors which are classified into four groups: financial resources; social legitimacy; entrepreneurial personality; and entrepreneurial competencies. Gender and education are moderating variables influencing the relationship, whereas age is a control variable using binary logistic regression technique. Findings Out of ten hypotheses, only four hypotheses, namely, income, fear of failure, perception of high status and knowledge of other entrepreneurs, have a significant relationship with the possibility of a business startup. Originality/value Implications of these findings and directions for future research are discussed.

scholarly journals A common goal to CARE: Cancer Advocates, Researchers, and Clinicians Explore current treatments and clinical trials for breast cancer brain metastases

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Natalie S. Joe ◽  
Christine Hodgdon ◽  
Lianne Kraemer ◽  
Kristin J. Redmond ◽  
Vered Stearns ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Brain Metastases ◽  
Detection Methods ◽  
Future Research ◽  
Breast Cancer Brain Metastasis ◽  
Patient Advocates ◽  
Breast Cancer Brain Metastases ◽  
The Brain

AbstractBreast cancer is the most commonly diagnosed cancer in women worldwide. Approximately one-tenth of all patients with advanced breast cancer develop brain metastases resulting in an overall survival rate of fewer than 2 years. The challenges lie in developing new approaches to treat, monitor, and prevent breast cancer brain metastasis (BCBM). This review will provide an overview of BCBM from the integrated perspective of clinicians, researchers, and patient advocates. We will summarize the current management of BCBM, including diagnosis, treatment, and monitoring. We will highlight ongoing translational research for BCBM, including clinical trials and improved detection methods that can become the mainstay for BCBM treatment if they demonstrate efficacy. We will discuss preclinical BCBM research that focuses on the intrinsic properties of breast cancer cells and the influence of the brain microenvironment. Finally, we will spotlight emerging studies and future research needs to improve survival outcomes and preserve the quality of life for patients with BCBM.

scholarly journals Climate Inaction in Business Management: An Exploratory Review of the Literature

2020 ◽  
Vol 13 (4) ◽  
pp. 87
Author(s):  
Alan F. Rodriguez-Jasso ◽  
Arturo Briseno ◽  
Ana L. Zorrilla
Keyword(s):  
Climate Change ◽  
Ghg Emissions ◽  
Essential Element ◽  
Future Research ◽  
Climate Mitigation ◽  
Negative Consequences ◽  
Broad Perspective ◽  
Address Climate Change ◽  
Management Literature ◽  
Business And Management

Climate change is considered as one of the major threats for the international community due to its negative consequences in the financial, social, and environmental issues. Companies, who are considered as an essential element in the mitigation process, have exerted corporate inactivity to address climate change that has led to the increment of the greenhouse gas (GHG) emissions, contributing to climate change over the last decade. The objective of this review is to explore, summarize, and analyze the state of knowledge in the business and management literature about climate inaction that guides future researches to diminish this corporate inactivity, enhancing the practices aimed to reduce such emissions. The review was developed through the narrative method in order to acquire a broad perspective of the phenomenon through the examination of 24 articles from the Web of Science from 1998 to 2018. Our findings indicate that climate inaction is nascent and fragmented literature where the company is identified as one of the main actors, being this approach developed from different perspectives that guide to decrease such corporate inactivity, and motivating the corporate action. The inclusion of the concept of climate inaction might lead to an understanding of the mechanisms for climate mitigation, providing a guide for future research in the field of environmental performance.

A Cross-Cultural Review of Workplace Deviance Research

2020 ◽  
pp. 23-46
Author(s):  
Selcen Kılıçaslan Gökoğlu ◽  
Engin Bağış Öztürk
Keyword(s):  
Cultural Differences ◽  
Cross Cultural ◽  
Workplace Deviance ◽  
Future Research ◽  
Moderator Variable ◽  
Negative Behaviors ◽  
Deviant Behaviors ◽  
Cross Cultural Differences ◽  
Recent Developments ◽  
Future Research Directions

In the last two decades, workplace deviance becomes one of the most important topics to understand negative behaviors at work. However, many of the studies that examine deviance take a universal perspective and undermine cross-cultural differences. To address this gap, this chapter focuses on cross-cultural differences and its relationship with deviant workplace behaviors. The authors claim that cross-cultural differences can play an important role as an antecedent and/or moderator variable in influencing deviant behaviors. In order to discuss these effects, they first summarize recent developments in individualism-collectivism, tightness-looseness, and honor cultures. Based on their interpretations, target-oriented deviance might be highly contextualized in collectivist cultures, form of deviance and contents of deviance could be different from honor to dignity cultures. In addition, deviant behaviors as responses to specific events might differ whether a person belongs in a tight culture or not. The implications of our arguments and future research directions are discussed.

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