Using structural equation modeling to detect response shifts and true change.
about
Multimorbidity in chronic disease: impact on health care resources and costsFactor structure and measurement invariance of the Health Education Impact Questionnaire: Does the subjectivity of the response perspective threaten the contextual validity of inferences?Appraisal assessment in patient-reported outcome research: methods for uncovering the personal context and meaning of quality of life.Identifying reprioritization response shift in a stroke caregiver population: a comparison of missing data methods.Measuring bias in self-reported data.RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies.Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patientsAnticipated adaptation or scale recalibration?Measuring mental health and wellbeing outcomes for children and adolescents to inform practice and policy: a review of child self-report measuresItem bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling: comparison with other item bias detection methods.Longitudinal measurement invariance of the Dutch Outcome Questionnaire-45 in a clinical sample.Measurement invariance of the Center for Epidemiological Studies Depression Scale (CES-D) among Chinese and Dutch elderlyResponse shift in quality of life after endoscopic sinus surgery for chronic rhinosinusitis.Confirmatory factor analysis of the thyroid-related quality of life questionnaire ThyPRO.Reference bias: presentation of extreme health states prior to EQ-VAS improves health-related quality of life scores. a randomised cross-over trial.Quality of life and hormones after sex reassignment surgery.Time to health-related quality of life score deterioration as a modality of longitudinal analysis for health-related quality of life studies in oncology: do we need RECIST for quality of life to achieve standardization?Assessment of response shift using two structural equation modeling techniques.Method variation in the impact of missing data on response shift detection.The king's foot of patient-reported outcomes: current practices and new developments for the measurement of changeUsing structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patientsHow are you? Do people with inflammatory bowel disease experience response shift on this question?Most colorectal cancer survivors live a large proportion of their remaining life in good healthHealth-related Quality of Life and Existential Concerns Among Patients with End-stage Renal DiseaseTesting the Assumption of Measurement Invariance in the SAMHSA Mental Health and Alcohol Abuse Stigma Assessment in Older Adults.Using the random forest method to detect a response shift in the quality of life of multiple sclerosis patients: a cohort studyUsing structural equation modeling to detect response shifts and true change in discrete variables: an application to the items of the SF-36.Longitudinal measurement invariance in prospective oral health-related quality of life assessment.Magnitude and correlates of response shift in fatigue ratings in women undergoing adjuvant therapy for breast cancer.Impact of the occurrence of a response shift on the determination of the minimal important difference in a health-related quality of life score over time.Influence of response shift on evaluations of change in patient-reported outcomes.Impact of response shift on longitudinal quality-of-life assessment in cancer clinical trials.Guidelines for secondary analysis in search of response shift.Minimal impact of response shift for SF-12 mental and physical health status in homeless and vulnerably housed individuals: an item-level multi-group analysis.Well-being, posttraumatic growth and benefit finding in long-term breast cancer survivors.Match and mismatch between objective and subjective improvements in upper limb function after stroke.The Guttman errors as a tool for response shift detection at subgroup and item levels.Self-Perceived Distress and Impairment in Problem Gamblers: A Study of Pre- to Post-treatment Measurement Invariance.Do not throw out the baby with the bath water: build on current approaches to realize conceptual clarity. Response to Ubel, Peeters, and Smith.Testing for Response Shift Bias in Evaluations of School Antibullying Programs.
P2860
Q26741437-32B60D6C-1172-418C-9B33-3E2C5F43DADAQ27322638-D8B81AAC-95B5-49A3-891A-FBD619E5E2A8Q30240039-B2B04BC0-A2B6-4F09-89D5-CC62976B8D0BQ30863980-E161FF7F-67E9-48DE-935D-0B3DF98B0C0CQ30868540-FBCED20A-C118-49BB-9100-FC12A8997CF5Q30874642-CFBC3292-80CB-4038-9CD5-A22D7D8A98C3Q33590470-8E958554-2831-4D01-9DD4-FD11B6C9DA66Q33592733-8C4C317C-47D5-4DB3-A235-D6B2ED6DC3E0Q33618220-EA4F816D-DC9A-47EE-800B-1D8D3EA62180Q33645253-24B0F0DF-7C19-430F-8A84-FA0CEA6DAED9Q33645293-1118170C-D87E-4769-96A5-24AB19F4A2BBQ33906219-8137E7B0-EA38-4179-A495-73B357867396Q34118654-B09972C3-0198-407E-9F12-F0F8AB499BA0Q34233572-112F2E85-2322-4184-B25C-9405CDB48373Q34461509-D89507D6-459F-46E9-A217-A7EED26C52F9Q34498749-B04A89CA-DBA4-4949-91E5-5F9B350AEFD9Q34807981-F8B46EAE-E987-4676-8120-BAED38044DB7Q34970763-B5169EA3-3607-4A21-AE52-47B1E4725410Q35204079-E993E467-F41F-4732-B08E-A823F3280E81Q35226339-0A919BBF-100C-4393-B9D6-0CE1D17445CEQ35563547-4E71C050-AED9-4CEC-AF86-84A97C9EA33CQ35604240-F35723EE-4D5B-4FCB-8750-A36D61B2A4C9Q36153152-3CEA8E60-F641-4E67-ABCD-A6A547492ED7Q36336082-25B1BB2D-5E25-4B68-8BD8-6091FEEE71DFQ36408388-36FD3F80-A300-4094-B314-BA6AB933FE67Q36767262-4DCED3B8-BC77-4D00-B23C-A369122D096AQ36909838-1828E4D5-D65D-4CDD-9592-C925DCFE0340Q36980765-40AF273E-8310-47CC-A88E-74760C5FC720Q37192605-630A5093-4901-4F04-935E-B846A6CF462CQ37470535-2F8F7195-C231-4E53-BAB1-A279F815E02BQ37763126-B838945B-7E65-4FF8-9A50-1B2C156CCF19Q37940562-D8CC3407-133A-4521-8949-21EC4283525EQ38097745-D0095A8B-F0A1-4FC7-B13E-E4702CED7D53Q39117208-DBF2C891-B6CB-42D1-A9B8-5363DEB87768Q39281923-BA916EA4-6EF4-475B-8CA0-5332F26756B8Q39431191-583BDEC5-CDD6-4B17-AE18-376926390088Q39904469-A863E62F-4146-46E1-82A0-C4B39C3AF975Q39925436-A17C6EA9-5576-4100-8C84-E1BEC7C96A2DQ39973870-5AC42596-F1BB-47E4-836D-0D4D7BA13173Q40018567-B0314580-AE53-40E8-A2D1-7B95D05E2810
P2860
Using structural equation modeling to detect response shifts and true change.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Using structural equation modeling to detect response shifts and true change.
@en
Using structural equation modeling to detect response shifts and true change.
@nl
type
label
Using structural equation modeling to detect response shifts and true change.
@en
Using structural equation modeling to detect response shifts and true change.
@nl
prefLabel
Using structural equation modeling to detect response shifts and true change.
@en
Using structural equation modeling to detect response shifts and true change.
@nl
P1476
Using structural equation modeling to detect response shifts and true change.
@en
P2093
Frans J Oort
P2888
P304
P356
10.1007/S11136-004-0830-Y
P577
2005-04-01T00:00:00Z