Quantitative Services

Quantitative Analysis

We live in a data driven society where people are increasingly looking to numbers to describe, explain, and predict phenomena in our businesses, charities, sports, education, personal lives, and more. Quantitative analysis is the most comprehensive way to draw conclusions from direct observation and measurement. Our extensive quantitative analytic services empower you to collect and analyze data to answer your most pressing research needs.

Data Integrity

examiner-working-in-office-analysis-77What is it? Data integrity refers to the quality and accuracy of data, which is critical to data being reliable, valid, reproducible, and transferrable. Reliable information obtained from data drives suitable choices and decision-making towards the optimal direction, which contributes to overall success. Because of this, data integrity is a top priority for most enterprises and researchers.

Data integrity includes various assessment steps, including error checking, data validation, and more. Of all processes, data security protects data against data corruption and unauthorized access, and it plays an important role in maintaining data integrity. If you have concerns on how to maintain data integrity, let our consultants help you. 

How can we help you?
  • Data preparation to ensure high quality of data
  • Data validation to avoid duplicates and inaccurate values
  • Reliability assessment
  • Appropriate analysis plan development
  • Appropriate complexity

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Articles and White Papers About Data Integrity

How Can We Reduce Bias in Our Research?

Articles and White Papers About Data Integrity What Are Some Data Collection Challenges and How Do You Overcome Them? (Part 3 of 3) Articles and White Papers About Considerations How do You Develop an Evaluation Plan? Read More How Do You Get Started With Your Program Evaluation? Read More What...

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FAQ About Data Integrity

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What criteria should I use to ensure my data integrity?

It is essential to collect accurate information that is validated and reliable from the appropriate target audience in order to apply the feedback of the analysis to the intended problem or situation. Failure to correctly identify and assess any of these components will undermine the veracity and magnitude of findings.

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How does my data integrity impact analysis results?

Using data of unknown or questionable integrity jeopardizes the impact of analyzed results. A strong research methodology that prioritizes data integrity is essential to the analysis plan.

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What are the common factors impacting the integrity of the data?

Research design, research instrumentation,

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Should I keep or remove certain cases from a survey or study because of what they did or didn’t answer?

Certain patterns in responses warrant cases to be removed to protect the integrity of data. Cases should be flagged where respondents answer too quickly or slowly. Additionally, responses may need to be removed from participants who drop off after certain points, answer with limited to no variance or answer antithetical questions inconsistently.

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What do I do when my data is non-normal?

Non-normal data can be analyzed using non-parametric analyses or other analysis that require less strict assumptions. Additionally sometimes it is beneficial to transform non-normal quantitative data into categorical data which can be normally distributed by using ranges of values for categories.

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What Our Clients Say About Us

I was referred to Elite Research from a friend, who is a Doctoral student from another university. He received excellent assistance with compilation of his statistics and assistance with formatting the stats. I signed up for the same services and also APA formatting and proofing. Elite gave me a written estimate up front for various services, so I could chose what fit my needs and budget. The turnaround time was incredibly fast! My classmates were extremely impressed by the professional quality of my paper and have signed up also.

Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas
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