Bart Orriens

Biographic Data

ID4781520
NAMEBart Orriens
GIVEN NAMESBart
FAMILY NAMEOrriens
SIGNATUREORRIENS B
AFFILIATIONSUniversity of Southern California
ORCID0000-0002-1304-7735
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS4
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1

  • Response times in Ecological Momentary Assessment (EMA)

    Open AccessStefan Schneider, Raymond Hernandez et al.ARTICLECurrent Psychology2024

    Mental processes underlying people’s responses to Ecological Momentary Assessments (EMA) have rarely been studied. In cognitive psychology, one of the most popular and successful mental process models is the drift diffusion model . It decomposes response time (RT) data to distinguish how fast information is accessed and processed (“drift rate”), and how much information is accessed and processed (“boundary separation”). We examined whether the dr…

  • Cognitive Functioning and the Quality of Survey Responses

    Open AccessStefan Schneider, Pey-Jiuan Lee et al.ARTICLEThe Journals of Gerontology…2024

  • Using Item Response Times in Online Questionnaires to Detect Mild Cognitive Impairment

    Open AccessStefan Schneider, Doertes U Junghaenel et al.ARTICLEThe Journals of Gerontology…2023References: 2

    RTs for survey items are a potential early indicator of CIND, which may enhance analyses of predictors, correlates, and consequences of cognitive impairment in online survey research

  • Identifying Cognitive Impairment Among Older Participants in a Nationally Representative Internet Panel

    Open AccessMargaret Gatz, Stefan Schneider et al.ARTICLEThe Journals of Gerontology…2022Cited by: 2References: 1

    The results permit analyses of predictors, correlates, and consequences of cognitive impairment in web surveys where relevant cognitive test and functional abilities items are available. We discuss challenges and caveats that may affect the findings

  • Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research

    Open AccessStefan Schneider, Haomiao Jin et al.ARTICLECAM2022Cited by: 1References: 30

    Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly us…

  • Personality as a Predictor of Unit Nonresponse in an Internet Panel

    Open AccessAlbert Cheng, Gema Zamarro et al.ARTICLESociological Methods & Research2020Cited by: 1References: 51

    Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually focuses on using demographic characteristics such as educational attainment or income to explain varia…