How to Do It Collingridge outlines a six-step validation method he has successfully used over the years.
Step 1: Establish Face Validity This two-step process involves having your survey reviewed by two different parties.
Step 4: Use Principal Components Analysis (PCA) Principal components analysis, or PCA, allows you to identify underlying components that are being measured by your survey questions.
These are known as factor loadings, and questions point back to the same elements should load into the same factors. Solid values to look for are factor loadings of 0.6 or above.
The first is a group familiar with your topic who can evaluate if your questions successfully capture your topic.
Because there are multiple, tough-to-control factors that can influence the dependability of a question, validating a survey is neither a quick nor easy task.While many organizations may urge you to “add validation” as a quick survey tip, that’s about as far as their suggestion often goes.Unfortunately, validating a survey requires a lot more than that.Having one person read the values aloud and another entering them into the spreadsheet greatly reduces the risk of error.Once data is entered, your next step is to reverse code negatively phrased questions.Data collected from 140 clinical nurses from 54 departments within 13 nursing specialties at Landspitali University-Hospital in Iceland, in November 2001, were analysed to establish construct validity by confirmatory factor analysis. Of the 260 outcomes, 244 had loading on one factor (≥0.30) within its class. The translation procedure involved source to target language translation, parallel comparison, pilot test and field test. Test-retest showed that 181 of the 260 NOC outcomes were significant (P 0.50) (Pearson's correlation). The indicators of each NOC outcome were not addressed. The Icelandic version of the NOC survey is a comprehensive tool that can be applied to nursing in acute-care for research purposes as well as to prepare for the implementation of NOC in clinical information systems.Validation included test-retest to measure the reliability for each of the 260 outcome variables. The confirmatory factor analysis showed that 22 of the 29 NOC classes had only one factor at the loading criteria ≥0.30. KW - Informatics KW - Nursing KW - Nursing Outcomes Classification KW - Outcomes KW - Research KW - Standardized tool KW - Translation UR - Note: Research Instruments are also available in Nursing Reference Center. The Nursing Outcomes Classification (NOC), second edition, consists of 260 patient outcomes with definitions.Data collected from 140 clinical nurses from 54 departments within 13 nursing specialties at Landspitali University-Hospital in Iceland, in November 2001, were analysed to establish construct validity by confirmatory factor analysis. Of the 260 outcomes, 244 had loading on one factor (≥0.30) within its class. One of the proposed survey strategies you may have run across is the suggestion to validate the questions in your survey.