Call for Papers: Advances in Empirically Supported Diagnostic Decision Making
Submission Deadline: April 30, 2018
- Guest Editor: Gary L. Canivez
Archives of Scientific Psychology announces a call for papers for a special issue on empirically supported diagnostic decision making.
This issue will present and discuss recent methodological advances in developing differential diagnoses of psychological and neuropsychological conditions.
Papers pertaining to the development, evaluation, and application regarding the following topics are welcome:
- Receiver Operator Characteristic Curve Analyses
- Bayesian Methods for Diagnostic Decision Making
- Cluster Analysis and Latent Class Modeling Approaches
- Logistic Regression/Discriminant Function Analyses Approaches
- Nomogram Methods
- Accuracy of Diagnostic Psychological Tests in Individual Applications
- Issues of Contextual Validation of Test Score Interpretations
Applications may relate to identification and classification or differential classification of Anxiety Disorders, Depression, Bipolar Disorder, Psychopathy, ADHD, Learning Disabilities, Intellectual Disabilities, Autism Spectrum Disorder, Psychotic Disorders, etc.
It would be particularly useful to include an example of how the approach is used in application to individuals in the applied setting.
Submit manuscripts electronically though the Archives of Scientific Psychology manuscript submission portal.
Please read the Manuscript Submission information for details on formatting and submitting manuscripts.
Please note in your cover letter that you are submitting for consideration to be published in the special issue on advances in diagnostic decision making.
Submissions are due by April 30, 2018.
Direct queries to Gary L. Canivez.
About the Journal
Archives is an open access, collaborative data-sharing journal, meaning that authors will receive maximum exposure for their published work.
Authors of accepted manuscripts are required to submit their dataset before publication — the datasets are securely stored at the Inter-university Consortium for Political and Social Research (ICPSR), the world's largest social science data archive.
Datasets are also assigned their own DOIs, meaning that authors have the opportunity to make their data citable by publishing in Archives.
Alternative accessible data-storage facilities are acceptable as well.
Please review the full journal policy on data-sharing, found in the Manuscript Submission area on the journal's homepage.