Quantitative Collection
Data collection is the bridge between design and analysis. A solid design plan requires technical expertise and execution to ensure quality analysis. The methodology for collecting, storing, and determining who to sample culminates with data primed for optimal analysis. Our quantitative collection services equip you with the vehicle to identify, collect, and analyze the highest quality data.
Preparing and executing technical steps for the highest quality data.
Survey Collection
What is it? Once surveys, often called instruments, questionnaires or assessments, have been developed or modified, they are tested for reliability and validity and then piloted. Only after these tests have been conducted and modifications made to the instruments, does survey collection take place. Survey collection should always follow a specified sampling plan and methodology.
Most surveys confine responses to a predetermined scale or option bank in order that researchers can test hypotheses and draw conclusions from collected responses. Surveys allow researchers to ask targeted questions to targeted demographics. Survey collection can provide a large amount of data very quickly with the right delivery and data collection method. Survey collection can be done in person, over the phone, or online.
The team of analysts and consultants at Elite Research have years of experience regarding every aspect of survey design and survey collection from nonprofit work collecting data in rural developing countries to high level clientele in technology or health care professionals. Our consultants can help you create and use your survey appropriately to collect the trustworthy data you need.
How can we help you?
- Instrument design and modification
- Survey validation or assessment
- Sampling strategies
- Online or mobile survey design and data collection
- Data collection training
- Survey collection services (online, offline, face-to-face)
- Analysis of online survey data
- Survey data collection/entry templates
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Read MoreFAQ About Survey Collection
There are a variety of online survey options available at various price points. Survey collections that help generate a particular demographic profile to respond to your survey tend to be more costly than simple sites that will collect data from anyone with access to a link.
Online survey collection often makes it easier to obtain desired data, but it must be readily adaptible to export to a statistical analytical package such as SPSS, STATA, R, etc.
Quantitative Sampling errors can be avoided by dividing the population into groups and comparing subgroup results compared to the other groups and the entire group. Additionally, sometimes the most affordable and feasible solution is to increase the sample size. Higher levels of knowledge and published research on populations can help identify and avoid sampling errors.
Quantitative Sampling weights should be used to ensure that collected data is representative of the population evaluated. Weighting should be based on a few select critical demographics most influential in determining the sample population.
Raking weighting is the most prevalent method of weighting and is based on known population distributions of certain variables. Matching and propensity weighting are alternative weighting methods that could be beneficial depending on the scope and scale of a particular sample of data.
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Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas