scholarly journals Using Mechanical Turk to Assess the Effects of Age and Spatial Proximity on Inattentional Blindness

Collabra ◽  
2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Cary R. Stothart ◽  
Walter R. Boot ◽  
Daniel J. Simons
Keyword(s):  
Cognitive Aging ◽  
Inattentional Blindness ◽  
Mechanical Turk ◽  
Spatial Proximity ◽  
Online Data ◽  
Advantages And Disadvantages ◽  
Large N ◽  
Online Data Collection ◽  
First Time ◽  
The Relationship

Few studies have used online data collection to study cognitive aging. We used a large (N = 515) online sample to replicate the findings that inattentional blindness increases with age and with the distance of the unexpected object from the focus of attention. Critically, we assessed whether distance moderates the relationship between age and noticing. We replicated both age and distance effects, but found no age by distance interaction. These findings disconfirm a plausible explanation for age differences in noticing (restricted field of view), while for the first time highlighting the advantages and disadvantages of using Mechanical Turk for the study of cognitive aging.

A Technical Guide to Using Amazon's Mechanical Turk in Behavioral Accounting Research

2017 ◽  
Vol 30 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Steve Buchheit ◽  
Marcus M. Doxey ◽  
Troy Pollard ◽  
Shane R. Stinson
Keyword(s):  
Third Party ◽  
Mechanical Turk ◽  
Behavioral Accounting ◽  
Online Data ◽  
Research Participants ◽  
Traditional Research ◽  
Potential Benefits ◽  
Technical Guide ◽  
Online Data Collection ◽  
Amazon's Mechanical Turk

ABSTRACT Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about their efforts to attract participants and analyze responses.

Results from the Mechanical Turk Online Written Questionnaires

2019 ◽  
pp. 113-138
Author(s):  
James N. Stanford
Keyword(s):  
Data Collection ◽  
New England ◽  
Mechanical Turk ◽  
Free Response ◽  
Online Data ◽  
Regional Features ◽  
Current State ◽  
Phonological Features ◽  
Online Data Collection ◽  
Different Parts

This is the second of the two chapters (Chapters 4 and 5) that present the results of the author’s online data collection project using Mechanical Turk. This chapter analyzes the results of the online written questionnaires; 534 people responded to online questions about New England dialect features, including phonological features and lexical items. The author maps the results in terms of regional features in different parts of New England, comparing them to prior surveys and to the acoustic analyses of the prior chapter. The chapter also analyzes 100 free-response answers where New Englanders gave further insights into the current state of New England English.

Ethical Considerations in Online Research Methods

2012 ◽  
pp. 394-408
Author(s):  
Harsh Suri ◽  
Fay Patel
Keyword(s):  
Research Methods ◽  
Online Communication ◽  
Research Process ◽  
Online Research ◽  
Ethical Considerations ◽  
Online Data ◽  
Identity Representation ◽  
Online Data Collection ◽  
The Relationship ◽  
Online Research Methods

Online research methods are gaining popularity in several disciplines as they offer numerous opportunities that were not feasible before. However, online research methods also present many challenges and complexities that give rise to ethical dilemmas for online researchers and research participants. This chapter discusses key ethical considerations in the four stages of the research process: research design, online data collection methods, data analysis methods, and online communication of research outcomes. Issues of power, voice, identity, representation, and anonymity in online research are discussed. The relationship between information and power and its implications for equity in online research is also examined. Rather than providing prescriptive recommendations, the authors use questioning as a strategic device to foster critical awareness and ethically informed decision-making among online researchers.

A Critical Exploration of Face-to Face Interviewing vs. Computer-Mediated Interviewing

2001 ◽  
Vol 43 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Carolyn Folkman Curasi
Keyword(s):  
Data Collection ◽  
Secondary Data ◽  
Sampling Frame ◽  
Online Data ◽  
Face To Face ◽  
Advantages And Disadvantages ◽  
The Media ◽  
Online Data Collection ◽  
Using Data ◽  
Depth Interviews

Since the early 1990s, the internet has dominated the attention of the media, academics and business organisations. It has the potential of being a revolutionary way to collect primary and secondary data, although much more research is needed to learn how to better harness its strengths. This project compares depth interviews collected online with depth interviews conducted face-to-face. Advantages and disadvantages are highlighted, as well as suggested strategies for successfully collecting online data. Major points are illustrated using data from a project in which both data collection techniques are employed. The online interview dataset included some of the strongest and some of the weakest interviews in the investigation. This paper argues that under some conditions online depth interviews can provide a useful complement to the traditional face-to-face interview. Sampling frame problems of non-representativeness, endemic in quantitative online data collection, is not problematic if the researcher is conducting an interpretive investigation. When the researcher's goal is not to quantify or generalise but instead to better understand a particular population, online data collection can complement other datasets, allow data triangulation and strengthen the trustworthiness of the findings.

Ethical Considerations in Online Research Methods

2019 ◽  
pp. 646-661
Author(s):  
Harsh Suri ◽  
Fay Patel
Keyword(s):  
Research Methods ◽  
Online Communication ◽  
Research Process ◽  
Online Research ◽  
Ethical Considerations ◽  
Online Data ◽  
Identity Representation ◽  
Online Data Collection ◽  
The Relationship ◽  
Online Research Methods

Online research methods are gaining popularity in several disciplines as they offer numerous opportunities that were not feasible before. However, online research methods also present many challenges and complexities that give rise to ethical dilemmas for online researchers and research participants. This chapter discusses key ethical considerations in the four stages of the research process: research design, online data collection methods, data analysis methods, and online communication of research outcomes. Issues of power, voice, identity, representation, and anonymity in online research are discussed. The relationship between information and power and its implications for equity in online research is also examined. Rather than providing prescriptive recommendations, the authors use questioning as a strategic device to foster critical awareness and ethically informed decision-making among online researchers.

Results from the Mechanical Turk Online Audio Recordings

2019 ◽  
pp. 75-112
Author(s):  
James N. Stanford
Keyword(s):  
Data Collection ◽  
New England ◽  
Large Scale ◽  
Statistical Analyses ◽  
Mechanical Turk ◽  
Online Data ◽  
Audio Recordings ◽  
Online Data Collection ◽  
Amazon's Mechanical Turk ◽  
Broad Scale

This is the first of the two chapters (Chapters 4 and 5) that present the results of the online data collection project using Amazon’s Mechanical Turk system. These projects provide a broad-scale “bird’s eye” view of New England dialect features across large distances. This chapter examines the results from 626 speakers who audio-recorded themselves reading 12 sentences two times each. The recordings were analyzed acoustically and then modeled statistically and graphically. The results are presented in the form of maps and statistical analyses, with the goal of providing a large-scale geographic overview of modern-day patterns of New England dialect features.

scholarly journals Online Data Collection to Evaluate a Theoretical Cognitive Model of Tinnitus

2016 ◽  
Vol 25 (3S) ◽  
pp. 313-317 ◽  
Author(s):  
Lucy Handscomb ◽  
Deborah A. Hall ◽  
Gillian W. Shorter ◽  
Derek J. Hoare
Keyword(s):  
Data Collection ◽  
Cognitive Model ◽  
Important Variable ◽  
Online Data ◽  
Cross Sectional ◽  
Quality Reporting ◽  
Advantages And Disadvantages ◽  
Tinnitus Distress ◽  
Online Data Collection ◽  
Questionnaire Studies

Purpose The purpose of this article is to describe data collection considerations, methods, and response rates for a survey available both online and on paper. Methodological issues in the design of online data collection, and advantages and disadvantages of different data collection methods are discussed. Method A survey was compiled that included 9 full or partial clinical questionnaires designed to measure different components relevant to tinnitus distress. It was completed once by 342 members of the public with tinnitus. Respondents could choose whether to complete the survey online or on paper . Results Ninety-five percent of participants chose to complete the survey online. The advantages of an online self-administered questionnaire include low numbers of unanswered questions, convenience (particularly in a longer survey such as this), a fast return rate, and reduced expense. Age emerged as an important variable, with those opting to complete the paper-based version of the survey being older. Conclusions Online data collection has several advantages to both participants and researchers. However, cross-sectional studies such as that presented here should also offer paper questionnaires to avoid excluding certain subgroups of the population. Ethics and reporting guidelines for Internet-delivered questionnaire studies are available. These can usefully inform study design and guide high-quality reporting.

Affirmative Action and Leadership Attitudes in Brazilian Women Managers

2011 ◽  
Vol 10 (3) ◽  
pp. 139-143 ◽  
Author(s):  
Gazi Islam ◽  
Sarah E. S. Zilenovsky
Keyword(s):  
Affirmative Action ◽  
Latin American ◽  
Women Managers ◽  
Psychological Effects ◽  
Preferential Selection ◽  
Justice Perceptions ◽  
First Time ◽  
The Relationship

This note examines the relationship between affirmative action (AA) program perceptions and women’s self-ascribed capacity and desire to become leaders. We propose that women who believe that their organization implements a program of preferential selection toward women will experience negative psychological effects leading to lowered self-expectations for leadership, but that this effect will be moderated by their justice perceptions of AA programs. We test this proposition empirically for the first time with a Latin American female sample. Among Brazilian women managers, desire but not self-ascribed capacity to lead was reduced when they believed an AA policy was in place. Both desire’s and capacity’s relationships with belief in an AA policy were moderated by justice perceptions.

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