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.

scholarly journals An overview of the Italian contribution to the international multisite SPRISTAD study on psychotherapy training

2019 ◽  
Vol 22 (3) ◽  
Author(s):  
Irene Messina ◽  
Salvatore Gullo ◽  
Omar Carlo Gioacchino Gelo ◽  
Cecilia Giordano ◽  
Silvia Salcuni
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Psychotherapy Research ◽  
Psychotherapy Training ◽  
Training And Development ◽  
Online Data ◽  
Cross Sectional ◽  
Psychotherapy Trainees ◽  
Online Data Collection ◽  
Interest Section

The Interest Section on Therapist Training and Development of the Society for Psychotherapy Research (SPRISTAD) has launched a multisite collaborative longitudinal study of psychotherapy trainees’ development, a large-scale study involving a number of countries all over the world. In the present article, we present an overview of the early Italian contribution to the SPRISTAD study, based on preliminary paper-and-pencil data collection. Our preliminary findings showed cross-sectional differences at different years of training and two-years longitudinal changes in trainees’ perceived development. Moreover, trainees’ characteristics such as their motivation, relational manner, current life, and personal background have shown to deserve attention in research on trainees’ development. These findings encourage the continuation of the SPRISTAD online data collection.

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.

National Health Interview Survey, COVID-19, and Online Data Collection Platforms: Adaptations, Tradeoffs, and New Directions

2021 ◽  
Vol 111 (12) ◽  
pp. 2167-2175
Author(s):  
Stephen J. Blumberg ◽  
Jennifer D. Parker ◽  
Brian C. Moyer
Keyword(s):  
Data Collection ◽  
National Health ◽  
National Health Interview Survey ◽  
Quality Data ◽  
Online Data ◽  
Health Interview Survey ◽  
Related Data ◽  
Health Interview ◽  
Interview Survey ◽  
Online Data Collection

High-quality data are accurate, relevant, and timely. Large national health surveys have always balanced the implementation of these quality dimensions to meet the needs of diverse users. The COVID-19 pandemic shifted these balances, with both disrupted survey operations and a critical need for relevant and timely health data for decision-making. The National Health Interview Survey (NHIS) responded to these challenges with several operational changes to continue production in 2020. However, data files from the 2020 NHIS were not expected to be publicly available until fall 2021. To fill the gap, the National Center for Health Statistics (NCHS) turned to 2 online data collection platforms—the Census Bureau’s Household Pulse Survey (HPS) and the NCHS Research and Development Survey (RANDS)—to collect COVID-19‒related data more quickly. This article describes the adaptations of NHIS and the use of HPS and RANDS during the pandemic in the context of the recently released Framework for Data Quality from the Federal Committee on Statistical Methodology. (Am J Public Health. 2021;111(12):2167–2175. https://doi.org/10.2105/AJPH.2021.306516 )

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