Web-based measurement: Effect of completing single or multiple items per webpage

Thorndike, Frances P.; Carlbring, Per; Smyth, Frederick L.; Magee, Joshua C.; Gönder-Frederick, Linda; Öst, Lars‐Göran; Ritterband, Lee M.

doi:10.1016/j.chb.2008.05.006

Cited by 69 publications

(50 citation statements)

References 37 publications

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“…Several studies have shown that some instruments maintain their psychometric properties when adapted to the internet, when compared to the traditional paper-and-pencil format (Bates & Cox, 2008;Bressani & Downs, 2002;Fish et al, 2010;Herrero & Meneses, 2006;Hewson & Charlton, 2005;McCabe et al, 2005;Meyerson & Tryon, 2003;Thorndike et al, 2009). However, several other reports have shown that the reliability, validity and factor structure of instruments adapted to the internet were not equivalent to the observed in paper-and-pencil applications (Buchanan et al, 2005;Finegan & Allen, 1994;Hedman et al, 2010;Im et al, 2005;Luce et al, 2007;Naus et al, 2009;Suris et al, 2007;Whitener & Klein, 1995).…”

Section: Introductionmentioning

confidence: 82%

“…Unfortunately, factorial invariance between different deployment formats has not been evaluated in only but a few studies comparing equivalence of scales (see e.g. Fish et al, 2010;Herrero & Meneses, 2006;Hewson & Charlton, 2005;Thorndike et al, 2009). The fact that factor structure invariance may not be present in different formats of psychometric scales has been acknowledged in several similar studies comparing paper-andpencil, internet and telephone interview filling methods (Carlbring et al, 2007;Hedman et al, 2010;Naus et al, 2009;Suris et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…In an earlier study on the equivalence of computerized vs. traditional research methods, Whitener and Klein (1995) identified several factors that may explain the lack of factor equivalence and threaten validity. These include socio-demographic differences between samples as has been acknowledged in other investigations (Bowling, 2005;Herrero & Meneses, 2006;Hewson & Charlton, 2005;Im et al, 2005;Klovning, Sandvik, & Hunskaar, 2009); single vs. group effects; mode of administration and instruments presentation and social desirability (Bowling, 2005;Fan & Yan, 2010;Hewson & Charlton, 2005;Thorndike et al, 2009;Whitener & Klein, 1995). To minimize these effects, namely single vs. group effects and mode of administration, we adopted a cross-over design with all the items being presented simultaneously, in the same order, and with the possibility to review and change answers if desired for both paper-and-pencil and internet formats.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Reliability and validity of self-reported burnout in college students: A cross randomized comparison of paper-and-pencil vs. online administration

Campos

Zucoloto

Bonafé

et al. 2011

Computers in Human Behavior

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a b s t r a c tInternet data collection is becoming increasingly popular in all research fields dealing with human perceptions, behaviors and opinions. Advantages of internet data collection, when compared to the traditional paper-and-pencil format, include reduced costs, automatic database creation, and the absence of researcher-related bias effects, such as availability and complete anonymity. However, the validity and reliability of internet gathered data must be established, in comparison to the usual paper-and-pencil accepted formats, before an inferential analysis can be done. In this study, we compared questionnaire data gathered from the internet with that from the traditional paper-and-pencil in a sample of college students. The questionnaires used were the Maslach Burnout Inventory -Student Survey (MBI-SS), the Oldenburg Burnout Inventory (OBI-SS) and the Copenhagen Burnout Inventory (CBI-SS). Data was gathered through a within-subject cross randomized and counterbalanced design, on both internet and paper-and-pencil formats. The results showed no interference in the application order, and a good reliability for both formats. However, concordance between answers was generally higher in the paperand-pencil format than on the internet. The factorial structure was invariant in the three burnout inventories. Data gathered in this study supports the Internet as a convenient, user-friendly, comfortable and secure data gathering method which does not affect the accepted factorial structures existent in the paper format of the three burnout inventories used.

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Section: Introductionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Reliability and validity of self-reported burnout in college students: A cross randomized comparison of paper-and-pencil vs. online administration

Campos

Zucoloto

Bonafé

et al. 2011

Computers in Human Behavior

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“…All of the self-report measures included in the screening process were filled out within a secure online interface, minimizing the risk of data loss or data distortion (Carlbring et al, 2007;Thorndike et al, 2009). In order to complete the screening process, registration and electronic identification were required (i.e., SSL certificates).…”

Section: Methodsmentioning

confidence: 99%

Differentiating Procrastinators from Each Other: A Cluster Analysis

Forsell

Svensson

Forsström

et al. 2015

Cognitive Behaviour Therapy

Self Cite

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Procrastination refers to the tendency to postpone the initiation and completion of a given course of action. Approximately one-fifth of the adult population and half of the student population perceive themselves as being severe and chronic procrastinators. Albeit not a psychiatric diagnosis, procrastination has been shown to be associated with increased stress and anxiety, exacerbation of illness, and poorer performance in school and work. However, despite being severely debilitating, little is known about the population of procrastinators in terms of possible subgroups, and previous research has mainly investigated procrastination among university students. The current study examined data from a screening process recruiting participants to a randomized controlled trial of Internet-based cognitive behavior therapy for procrastination (Rozental et al., in press). In total, 710 treatment-seeking individuals completed self-report measures of procrastination, depression, anxiety, and quality of life. The results suggest that there might exist five separate subgroups, or clusters, of procrastinators: "Mild procrastinators" (24.93%), "Average procrastinators" (27.89%), "Well-adjusted procrastinators" (13.94%), "Severe procrastinators" (21.69%), and "Primarily depressed" (11.55%). Hence, there seems to be marked differences among procrastinators in terms of levels of severity, as well as a possible subgroup for which procrastinatory problems are primarily related to depression. Tailoring the treatment interventions to the specific procrastination profile of the individual could thus become important, as well as screening for comorbid psychiatric diagnoses in order to target difficulties associated with, for instance, depression.

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“…Шэнд-Лабберс и Дж. Деннис [4], а также Торндайка и коллег [18] показали значимое влияние формата представления вопросов на время их заполнения: респонденты тратили меньше времени на заполнение таблиц. При этом результаты, полученные М. Каллегаро, Дж.…”

Section: мониторинг общественного мнения 6 (124)unclassified

Effects of Questionnaire Design on Data Quality in Student Online Surveys

Maloshonok¹,

Терентьев²

2014

MONITORING

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Web-based measurement: Effect of completing single or multiple items per webpage

Cited by 69 publications

References 37 publications

Reliability and validity of self-reported burnout in college students: A cross randomized comparison of paper-and-pencil vs. online administration

Reliability and validity of self-reported burnout in college students: A cross randomized comparison of paper-and-pencil vs. online administration

Differentiating Procrastinators from Each Other: A Cluster Analysis

Effects of Questionnaire Design on Data Quality in Student Online Surveys

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