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Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
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Keith Summey North Charleston Library
9 a.m. - 8 p.m.
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John's Island Library
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Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
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Folly Beach Library
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Miss Jane's Building (Edisto Library Temporary Location)
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Dorchester Road Library
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Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
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Phone: (843) 805-6892
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
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A Probabilistic Filtering Approach to Non-Effortful Responding
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- Author(s): Ulitzsch, Esther (ORCID
Ulitzsch, Esther (ORCID 0000-0002-9267-8542 ); Domingue, Benjamin W.; Kapoor, Radhika; Kanopka, Klint (ORCIDKanopka, Klint (ORCID 0000-0003-3196-9538 ); Rios, Joseph A. (ORCIDRios, Joseph A. (ORCID 0000-0002-1004-9946 )- Language:
English- Source:
Educational Measurement: Issues and Practice. Aut 2023 42(3):50-64.- Publication Date:
2023- Document Type:
Journal Articles
Reports - Research - Language:
- Additional Information
- Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: [email protected]; Web site: https://www.wiley.com/en-us
- Peer Reviewed: Y
- Source: 15
- Education Level: Secondary Education
- Subject Terms:
- Subject Terms:
- Accession Number: 10.1111/emip.12567
- ISSN: 0731-1745
1745-3992 - Abstract: Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring potential classification uncertainty in resulting parameter estimates. We developed a response-time-based probabilistic filtering procedure that overcomes this limitation. The procedure is rooted in the principles of multiple imputation. Instead of creating multiple plausible replacements of missing data, however, multiple data sets are created that represent plausible filtered response data. We propose two different approaches to filtering models, originating in different research traditions and conceptualizations of response-time-based identification of NRB. The first approach uses Gaussian mixture modeling to identify a response time subcomponent stemming from NRB. Plausible filtered data sets are created based on examinees' posterior probabilities of belonging to the NRB subcomponent. The second approach defines a plausible range of response time thresholds and creates plausible filtered data sets by drawing multiple response time thresholds from the defined range. We illustrate the workings of the proposed procedure as well as differences between the proposed filtering models based on both simulated data and empirical data from PISA 2018.
- Abstract: As Provided
- Publication Date: 2023
- Accession Number: EJ1391371
- Availability:
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