1
40
1
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Citation List Month
Backlog
URL Address
<a href="http://doi.org/10.1186/1471-2288-6-57" target="_blank" rel="noreferrer">http://doi.org/10.1186/1471-2288-6-57</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Dealing with missing data in a multi-question depression scale: a comparison of imputation methods
Publisher
An entity responsible for making the resource available
Bmc Medical Research Methodology
Date
A point or period of time associated with an event in the lifecycle of the resource
2006
Subject
The topic of the resource
Female; Humans; Male; Attitude to Health; Questionnaires; Research Design; Hospitals; Reproducibility of Results; Regression Analysis; Alberta; Teaching; Statistical; Data Interpretation; Psychiatric Status Rating Scales; Self Assessment (Psychology); Surgical Procedures; Depression/classification/diagnosis; Operative/psychology; Outcome Assessment (Health Care)/methods/statistics & numerical data; Preoperative Care; Psychometrics/methods
Creator
An entity primarily responsible for making the resource
Shrive FM; Stuart H; Quan H; Ghali WA
Description
An account of the resource
BACKGROUND: Missing data present a challenge to many research projects. The problem is often pronounced in studies utilizing self-report scales, and literature addressing different strategies for dealing with missing data in such circumstances is scarce. The objective of this study was to compare six different imputation techniques for dealing with missing data in the Zung Self-reported Depression scale (SDS). METHODS: 1580 participants from a surgical outcomes study completed the SDS. The SDS is a 20 question scale that respondents complete by circling a value of 1 to 4 for each question. The sum of the responses is calculated and respondents are classified as exhibiting depressive symptoms when their total score is over 40. Missing values were simulated by randomly selecting questions whose values were then deleted (a missing completely at random simulation). Additionally, a missing at random and missing not at random simulation were completed. Six imputation methods were then considered; 1) multiple imputation, 2) single regression, 3) individual mean, 4) overall mean, 5) participant's preceding response, and 6) random selection of a value from 1 to 4. For each method, the imputed mean SDS score and standard deviation were compared to the population statistics. The Spearman correlation coefficient, percent misclassified and the Kappa statistic were also calculated. RESULTS: When 10% of values are missing, all the imputation methods except random selection produce Kappa statistics greater than 0.80 indicating 'near perfect' agreement. MI produces the most valid imputed values with a high Kappa statistic (0.89), although both single regression and individual mean imputation also produced favorable results. As the percent of missing information increased to 30%, or when unbalanced missing data were introduced, MI maintained a high Kappa statistic. The individual mean and single regression method produced Kappas in the 'substantial agreement' range (0.76 and 0.74 respectively). CONCLUSION: Multiple imputation is the most accurate method for dealing with missing data in most of the missind data scenarios we assessed for the SDS. Imputing the individual's mean is also an appropriate and simple method for dealing with missing data that may be more interpretable to the majority of medical readers. Researchers should consider conducting methodological assessments such as this one when confronted with missing data. The optimal method should balance validity, ease of interpretability for readers, and analysis expertise of the research team.
2006
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1186/1471-2288-6-57" target="_blank" rel="noreferrer">10.1186/1471-2288-6-57</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Type
The nature or genre of the resource
Journal Article
2006
Alberta
Attitude To Health
Backlog
Bmc Medical Research Methodology
Data Interpretation
Depression/classification/diagnosis
Female
Ghali WA
Hospitals
Humans
Journal Article
Male
Operative/psychology
Outcome Assessment (Health Care)/methods/statistics & numerical data
Preoperative Care
Psychiatric Status Rating Scales
Psychometrics/methods
Quan H
Questionnaires
Regression Analysis
Reproducibility of Results
Research Design
Self Assessment (Psychology)
Shrive FM
statistical
Stuart H
Surgical Procedures
Teaching