Data collection and management for research studies.

Data collection and management for research studies.

All research studies, be they randomised clinical trials or epidemiological or observational studies, require appropriate, accurate, and complete data. The most important step in research (not covered in this paper), is study design. Unless there has been careful definition of the hypothesis to be tested, outcomes to be measured, and calculation of required sample size, time and resources will ...

Qualitative Research: Data Collection, Analysis, and Management.

Online Data Collection for Psychotherapy Process Research

A preliminary investigation addressed the feasibility of using a specially designed online database to collect psychotherapy session impact and therapist-client alliance data and compared these online measures to published results of their paper-and-pencil counterparts. Participants drawn from a psychology department clinic, a student counseling center, and community agencies visited an online ...

Building a Data Collection for Deception Research

Research in high stakes deception has been held back by the sparsity of ground truth verification for data collected from real world sources. We describe a set of guidelines for acquiring and developing corpora that will enable researchers to build and test models of deceptive narrative while avoiding the problem of sanctioned lying that is typically required in a controlled experiment. Our pro...

Data management for prospective research studies using SAS® software

BACKGROUND Maintaining data quality and integrity is important for research studies involving prospective data collection. Data must be entered, erroneous or missing data must be identified and corrected if possible, and an audit trail created. METHODS Using as an example a large prospective study, the Missouri Lower Respiratory Infection (LRI) Project, we present an approach to data manageme...