What is statistical treatment of data?
Statistical treatment of data is when you apply some form of statistical method to a data set to transform it from a group of meaningless numbers into meaningful output. Statistical treatment of data involves the use of statistical methods such as:
What is an example of performing basic statistical treatment?
Categorising the data in this way is an example of performing basic statistical treatment. A fundamental part of statistical treatment is using statistical methods to identify possible outliers and errors.
How do I contact SAMHSA about other medication-assisted treatment programs?
For information about other medication-assisted treatment (MAT) or the certification of opioid treatment programs (OTPs), contact the SAMHSA Division of Pharmacologic Therapies at 240-276-2700. [email protected]
What are the steps involved in processing the data?
Steps in processing the data; Data are categorize based on objectives or purposes of the study Data are coded either numerically or alphabetically Data are tabulated & analyzed using appropriate statistical tool BACK 6. Statistical Treatment is a way of removing researcher bias by interpreting the data statistically rather than subjectively.
What is the ability to accurately collect and analyze data in a timely fashion?
The ability to accurately collect and analyze data in a timely fashion is a key part of making correct decisions regarding individual patient care and case management and, on a broader level, making effective programmatic decisions on issues such as prioritizing intervention activities and allocating scarce resources.
What is the key part of data collection and management?
A key part of the data collection and management process falls into the area of informatics, i.e. the use of information systems and technology to perform the critical tasks of data collection, management, and analysis.
How to avoid mishandling of data?
To avoid mishandling of data the researcher should share data on regular basis among the peers. Beginning researcher should share and get their data checked by an advisor or mentor. There should have to be a record of data in the data notebook. The data notebook should be signed each day as it is maintained.
Why is correct treatment of data important?
The correct treatment of data in research is important in maintaining the authenticity, reliability, and accuracy of the research. Inaccurate treatment of data can be done in many forms and in different intensity. A data that has been totally altered or produced without any real experiments is called a fraudulent data.
What happens if you present fraudulent data in a research?
Presenting fraudulent data in a research will not only result in the rejection of the research but it can also put the career of the researcher on stake . The researcher should have a record of the original data that has been recorded when the experiments or the survey was conducted. In case of a doubt that the data has been mistreated ...
Why do researchers indulge in manipulation of data?
There are various reasons why researcher indulge in manipulation of data. They want to gain prominence through presenting new ideas and by showing that their hypothesis was proved true.
Why should a researcher record pictures of instruments?
The researcher can record pictures of the instruments and the work done on them. This will add to the accuracy of data. The researcher should be able to produce all the links to the final data that has been generated in case there is a need to do so.
What is the difference between original and final data?
Having major difference between original and final data means that the researcher is involved in a fraud of producing or manipulating data.
Should unpublished data be kept confidential?
Therefore to avoid such plagiarism the unpublished data should be kept in confidentiality unless there is a need to share it. The need for sharing an unpublished data may occur in fields where the advancement of knowledge is preliminary and should be done as fast as possible.
What is a SAMHSA Notice of Intent?
SAMHSA uses the Notice of Intent (NOI) to implement the provisions of DATA 2000 and the SUPPORT Act that permit practitioners to prescribe or dispense buprenorphine. The form is used to collect all of the necessary information from practitioners to determine if they meet specific qualifications.
What is data 2000?
Results from a 2005 congressionally mandated evaluation study show how DATA 2000 has expanded opioid-assisted treatment. The study presents practitioner and patient survey results on treatment outcomes, patient characteristics, prescribing trends, barriers to treatment, and other information.
Does the waiver program help with opioid addiction?
Overall, the study found that: The waiver program appears to have increased the availability of medication-assisted treatment (MAT) for opioid dependency. Treatment provided under the wavier program has been safe and effective.
What is the next step in data processing?
1. SECTION 9 DATA PROCESSING AND STATISTICAL TREATMENT. 2. After all the necessary data have been gathered, the next step the researcher has to do is data processing. 3. Is a series of actions or steps performed on data to verify, organize, transform, integrate, and extract data in an appropriate output form for subsequent use. 4.
What is spread measure?
Spreads A measure of spread tells us how much a data sample is spread out or scattered. Two distributions may have identical means but have different spread or variability. 22. Two distributions may have identical means but have different spread or variability or the other way around. 23.
Summary
Introduction to Statistical Treatment in Research
- Every research student, regardless of whether they are a biologist, computer scientist or psychologist, must have a basic understanding of statistical treatment if their study is to be reliable. This is because designing experiments and collecting data are only a small part of conducting research. The other components, which are often not so well understood by new res…
What Is Statistical Treatment of Data?
- Statistical treatment of data is when you apply some form of statistical method to a data set to transform it from a group of meaningless numbers into meaningful output. Statistical treatment of data involves the use of statistical methods such as: 1. mean, 2. mode, 3. median, 4. regression, 5. conditional probability, 6. sampling, 7. standard devi...
Statistical Treatment Example – Quantitative Research
- For a statistical treatment of data example, consider a medical study that is investigating the effect of a drug on the human population. As the drug can affect different people in different ways based on parameters such as gender, age and race, the researchers would want to group the data into different subgroups based on these parameters to determine how each one affects the effe…
Type of Errors
- A fundamental part of statistical treatment is using statistical methods to identify possible outliers and errors. No matter how careful we are, all experiments are subject to inaccuracies resulting from two types of errors: systematic errors and random errors. Systematic errors are errors associated with either the equipment being used to collect the data or with the method in …
Manipulation of Data
- Manipulation of data means changing the data so that it meets the requirement of the hypothesis or to prove researcher’s stance about the research question. Small manipulation in data is not considered a fraud but it lowers the researcher integrity. It shows that the researcher worked in a careless manner and had not followed the scientific values,...
Mishandling of Data
- Mishandling of data means that the researcher worked carelessly. The researcher did not used tools like peer-review or corroboration to make sure that the data is accurate. There is no place for carelessness in the scientific research. There are various other tools that could be used to achieve accuracy of data in research. In qualitative research the researcher can explain clearly t…
Plagiarism/Fraud
References
- “What is Plagiarism”. Academic Integrity at MIT. https://integrity.mit.edu/handbook/what-plagiarism.
- On Being a Scientist: A Guide to Responsible Conduct in Research. (2009). 3rd Ed. Pp-1-3. https://www.nap.edu/read/12192/chapter/2