Publications by authors named "P R Slater"
Quantitative Data Quality Assurance, Analysis and Presentation.
J Psychiatr Ment Health Nurs
December 2024
Article Synopsis
- Quantitative data quality assurance is a set of systematic processes that ensure the accuracy and reliability of data in research.
- It helps to identify and correct errors, reduce biases, and maintain the integrity of data for effective analysis and reporting.
- The paper discusses important considerations for managing data quality and reporting research findings.
Data measurement, instrument selection, and sampling are fundamental elements in quantitative research and data collection. Data measurement is the systematic assignment of numeric values or categories to variables to permit measurement with precision and accuracy. Instrument selection involves selecting the right tool or method to collect data effectively and accurately and ensure the reliability and validity of the data.
View Article and Find Full Text PDFQuantitative Research Designs, Hierarchy of Evidence and Validity.
J Psychiatr Ment Health Nurs
December 2024
This paper provides a summary of the main quantitative research designs. Quantitative research designs occur in a hierarchy of evidence, ranging from descriptive research designs such as cross-sectional studies, and cohort designs, to more carefully constructed experimental designs like randomised control trials (RCT's). The quality of a study's findings is determined by factors affecting its internal validity and its application to other settings is gauged by its external validity.
View Article and Find Full Text PDFFundamentals of Quantitative Research Methods in Mental Health Nursing.
J Psychiatr Ment Health Nurs
October 2024