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Research Methodology

Research methodology is the analysis of the various methods used in certain fields of study. It does not actually study the field, but finds the best ways to do the studies themselves for each situation.

692 Questions

What is a Quantitative Impact Study?

A Quantitative Impact Study is a comprehensive analysis that measures the potential financial impact of a specific event or regulation on an organization or industry. It involves using quantitative models and data to assess the potential outcomes and implications of various scenarios in terms of costs, revenues, and overall financial performance. The goal is to help decision-makers understand the potential consequences and make informed choices.

What is precision in research methodology?

Precision refers to closeness of findings to reality based on a sample

What research method can best establish a cause and effect relationship?

An experimental research method can best establish a cause and effect relationship. By manipulating an independent variable and observing its effect on a dependent variable while controlling for other variables, researchers can determine a causal relationship between the variables. Random assignment of participants to different conditions helps minimize bias and increase internal validity.

What is the difference between research design and research method?

Research design is a blueprint or panning for research work and research method is an action or tool to make the plan success,

What are types of business research methods?

Common business research methods include case studies, the Delphi method, experiments, surveys, and content analysis.

Why is the market research method difficult?

Market research can be difficult because it requires a deep understanding of consumer behavior, competition, and market trends. It involves collecting and analyzing large amounts of data, which can be time-consuming and costly. Additionally, extracting meaningful insights from the data to make informed business decisions can be challenging.

Which of the scale among ratio and interval scale is better in research method topic?

I think Ratio Scale is better

Interval Scale:-Permissible Statistics mean, standard deviation, correlation, regression, analysis of variance

Ratio Scale:-Permissible Statistics
All statistics permitted for interval scales plus the following: geometric mean, harmonic mean, coefficient of variation, logarithms



To clarify:

"Best" is an odd way of looking at it. As the previous answers suggest, ratio data does allow for more advanced statistics, but for the most common forms of analysis, there is little functional difference between the two.

The bigger point is that researchers don't necessarily choose the level of data that they are working with. The nature of whatever they are studying determines it, and you can get into some pretty murky water when you try to force a ratio measurement in a study where it isn't really appropriate.

Why Benedict test is semi quantitative?

Benedicts solution changes through a range of colours (blue, green, orange, red) according to how much reducing sugar is present in the sample. This can be used to give a rough answer to the question "How much sugar is in the sample?", but is not accurate enough (because of the blending between one colour and the next), to be called a quantitative test.

What is the difference between concept and construct in research method?

Concept - A concept is a generally accepted collection of meanings or characteristics that are concrete whereas a

construct- construct is image or idea invented for a particular theory or research problem; a construct is an abstract concept. To successfully perform a research, we must form common ground; hence, the need for concepts and constructs.

4 What research methodology requires researchers to gather data and information that can be converted to numbers for statistical analysis?

1. Which research methodology requires researchers to gather data and information that can be converted to numbers for statistical analysis?

Which research methods are used by marketing researchers to collect primary data?

Secondary Research Methods are Internet Research, Library Research, Data Collection Organizations and News Papers/Magazines/Journals/Periodicals.

When might a scientist use a model as a research method?

A scientist might use a model as a research method for a few reasons. This model could tell the scientist how something moves for example.

Compare and contrast quantitative and qualitative?

quantitative = numbers

qualitative = not numbers (e.g. gender, state, ...)

What are parameters in research methods?

Parameters in statistics is an important component of any statistical analysis. In simple words, a parameter is any numerical quantity that characterizes a given population or some aspect of it. This means the parameter tells us something about the whole population.

Why do you need to know research methods?

Different professions use "research" to study a particular area. Some professions or fields are:

  • psychology
  • sociology
  • science - medical science - physical sciences
  • medicine - by physicians
  • marketing or business
  • etc.

When a person or group begins their research, the "method" should be described. For example, a psychologist wants to know if male children ages 4 to 12 are affected by watching violent television shows. He hypothezises (a guess) that males who watch violent shows will be more likely to be aggressive. He describes the scope of his research (4 to 16 yr old males), total number studied (30 boys), and the parameters of the study, such as: television viewing on Saturday afternoons from 1 pm to 5pm; types of shows watched (drama, westerns, sci-fi); duration (studied for 2 weeks... or 25 weeks...), etc.

When a study is completed, the researcher tells of anything that changed his original "method". For example, 4 of the 30 boys got sick and couldn't complete the study; or the scientist studied rats instead of mice.

Reasons that other people need to know research methods:

  • WHO does the study is important, just as the "method". For example, many people distrust studies done by a controlling company because a study's results can affect the marketability of a product or affect financial stock sales. Example 1: A pharmaceutical company that tests its own medications. Example 2: A major manufacturer who submits water studies while hiding that the plant has run-off of highly toxic substances.
  • Accurate research should be able to be replicated or duplicated. If Dr. Smith claims 50% of patients are healed by taking X herb daily for 3 months, then another doctor should be able to run a second study and come up with the same or nearly the same results.
  • Many times, "research" is simply "claims" without good research. I could write here that 98% of people who read News Stories on the Internet increase their IQs by 1 point... but that is simply a claim I'm making, without any research data to back up my claim.
  • The number studied is important! The bigger the sample, the more accurate the results. For example, a large medical study of women showed that yearly mannograms do not decrease the incidence of breast cancer. Although people are debating the results, this study has more validy than a study done on say, 50 women. As well, I could tell you that 50% of smokers never finished high school -- BUT what if I told you that I only studied TWO people--one who did finish high school and one who dropped out. Because I only studied 2 people, my "research" and "data results" is very misleading! But if I studied 50,000 men and women, I'd likely find and report a more reasonable figure (like 1%).
  • A "blind study" in medicine often has more validity. It means the study group did not know key details; sometimes the research doesn't know which group in a study receives medication. A "double blind" study means both the researcher and the participants did not know -- like which patients took the real medicine or took a placebo. A "double blind" ensures that the researcher cannot impose his ideas onto the results, like, if Dr. Smith believes Drug RXRX will improve liver function, he won't unknowingly interpret results to fit his ideas.
  • In Marketing studies, it is important to know whether the "study" was truly a "study" or if it was simply done by "consumer surveys". It is also important with all studies to know whether participants were paid money, or if they got some other type of reimbursement. For example: Online surveys are not "studies" but surveys that might be influenced by how much a person gets paid. If the "pay" is only 25 cents, the responding person may just click-click whatever answers, just to finish the questions fast-- but not accurately. A second example: A medical study might only reimburse transportation / mileage, give free tests, and free amounts of the med being studied.

This is not a complete list of why readers should know the specific research methods used, but it gives you an idea of why this knowledge is important.

What is the difference between research design to research method?

research design is the blue print showing the structure of the research process, while research method is the means of gathering evidences for a particular research design.

What is quantitative evidence?

Quantitive evidence is evidence that has to do with numbers. For example. the magnitude of an earthquake the time the earthquake occurred and the length of the earthquake are all types of quantitive evidence

Importance and scope of research methodology?

The scope of research methodology are as follows:-

1. Marketting research

2. For making government policy

3. Operational research

4. Motivational researh

5. Stimulation research