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.
Methodology
What is it? Quantitative research collects numerical data from a group of people. Regardless of the type of data collection and area of study, it is crucial to ensure an appropriate methodology, which includes the selection of appropriate measures (instruments) and how to correctly use them. For data collection, setting up a research methodology, also referred to as a protocol, ensures that all steps of the research are planned and detailed. A protocol outlines who, when, and how the data is collected. Quantitative data collection methodologies typically apply to experimental trials, observing events, administering surveys, and obtaining secondary data. Secondary data collection depends on your aims, hypothesis, area of your research, nature, and scope. Our consultants at Elite Research can provide recommendations on data collection methodology and assist with collection processes to minimize likelihood of errors, minimize cost, reduce time, and ensure research integrity.
How can we help you?
- Select or develop data collection methods
- Set up data and survey collection protocol
- Identify issues for collecting data
- Provide technical instructions
- Provide field logistics
- Train project staff on data collection
- Carry out data collection
- Provide strategies to maximize response rate or retention rate
- Enter data in appropriate formats for analysis
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Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
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Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
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Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
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Read MoreFAQ About Methodology
There is a nearly endless supply of data opportunities. Awareness of potentially untapped resources often requires a research background beyond the specific field in question.
There are multiple platforms for collecting, organizing and analyzing data across different types of operations and infrastructures. The best fit for a particular use involves balancing cost, simplicity, data platform collection approaches, and technical capacity to use particular analytic methods.
There are numerous statistical analytic softwares and platforms capable of modeling and simulation based on known and variable inputs. Experience modeling these simulations helps to properly contextualize and dial results in order to apply and garner feedback useful to processes.
Secondary data sources publish research collected from academic, governmental, philanthropic, journalistic, medical and other sources to public, private, and academic channels. These secondary data sources can complement, replace, reshape, or enhance your research goals and approach.
Everyone knowingly or unknowingly misses out on major data opportunities. Determining the usefulness and costs of acquiring or ignoring data opportunities generally requires a multidisciplinerian team of individuals with diverse research background and connection to data systems and sources.
What Our Clients Say About Us
Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas