The benefits and drawbacks of collecting various types of data

 

Analyze the benefits and drawbacks of collecting various types of data
Scenario
You have recently applied for another position in the company you work for and have been called in for a second interview! For this round, you’ve been asked by the interview committee to present an analysis of the collected data from the research you initially reviewed, with a specific focus on data-collection types. This will be presented in a formal interview presentation.

Directions
Second Interview Presentation
You are analyzing studies related to a research topic in your field by discussing different types of data collection, their benefits and drawbacks, and how your chosen research studies utilize different collection methods. In your first project, completed in Module Four, you completed your initial analysis of the methodologies used. In your second milestone, also submitted in Module Four, you finalized your research choices by submitting two of each type of research methodology and flexing your “skilled consumer of research” skills by looking at your gathered research as a whole in order to identify patterns in data-collection types and some high-level credibility threats to the research. For this project, complete the following:

Describe the attributes of a skilled consumer of research. Include the following:
The most helpful perspectives a consumer can utilize
A description of how you know when you have enough information
A description of how you scrutinize the credibility of data
Identify multiple potential threats to the credibility of your research results for each of your selected research studies. Include the following:
A description of potential biases or perspectives that might threaten the credibility of the results
An explanation of ethical issues that might threaten the credibility of the results—consider the following:
Disclosure
Blind or double-blind studies
Cultural awareness
Humane treatment of subjects
Unethical structuring of studies (methods, selection, etc.)
Analyze the relationship of data-collection types to social science research methodologies. Use your analysis from Milestone Two in Module Four. Include the following:
The most commonly used quantitative data-collection types in social sciences based on your analysis of your research articles. Consider why this choice of data collection method might be so common.
The least commonly used quantitative data-collection types in social sciences based on analysis of your research articles. Consider why this choice of data collection method might be less common.
The most commonly used qualitative data-collection types in social sciences based on analysis of your research articles. Consider: why might this choice of data collection method be so common?
The least commonly used qualitative data-collection types in social sciences based on analysis of your research articles from Consider: why might this choice of data collection method be less common?
Explain the relevance of various data-collection types to research question(s). Include the following:
A classification of the data in each study—is it quantitative, qualitative, or mixed methodology? Be sure to include an example of each methodology.
An explanation of why this data-collection type fits well with the research question from your chosen studies from Milestone Two in Module Four
What to Submit
Every project has a deliverable or deliverables, which are the files that must be submitted before your project can be assessed. For this project, you must submit the following:

Interview Presentation
This interview presentation, on a research topic of your choosing in your field of study, should include the information given in the directions to meet rubric requirements. Your project should be presented in Microsoft PowerPoint and must include visual representation in addition to talking points. Make sure to utilize the speaker notes function in the presentation if you do not include a video or voiceover.

Sample Solution

Attributes of a Skilled Consumer of Research

A skilled consumer of research is someone who can critically evaluate the quality and credibility of research studies. They are able to identify the strengths and weaknesses of different research methodologies, and they can assess the reliability and validity of the data.

There are a number of attributes that can help someone become a skilled consumer of research. These include:

  • Critical thinking skills: A skilled consumer of research is able to think critically about the research they are reading. They are able to identify the assumptions and biases of the researchers, and they can assess the quality of the evidence.
  • Knowledge of research methodologies: A skilled consumer of research is familiar with the different research methodologies that are used in social science research. They know the strengths and weaknesses of each methodology, and they can assess which methodology is most appropriate for a particular research question.
  • Knowledge of ethical issues: A skilled consumer of research is aware of the ethical issues that can arise in research. They know how to identify potential ethical problems, and they can assess whether the research has been conducted ethically.

Knowing When You Have Enough Information

There is no one-size-fits-all answer to the question of how to know when you have enough information. The amount of information you need will depend on the specific research question you are asking. However, there are a few general things you can keep in mind.

First, you should consider the purpose of the research. If you are conducting research to inform policy decisions, you will need more information than if you are conducting research to simply satisfy your own curiosity.

Second, you should consider the quality of the information you have already gathered. If the information is reliable and valid, you may not need to gather any more information. However, if the information is not reliable or valid, you will need to gather more information.

Finally, you should consider the time and resources you have available. If you are short on time or resources, you may need to make a decision about how much information you can gather based on those constraints.

Scrutinizing the Credibility of Data

There are a number of things you can do to scrutinize the credibility of data. These include:

  • Consider the source of the data: Is the source of the data credible? Is the source biased or impartial?
  • Consider the methods used to collect the data: Were the methods used to collect the data reliable and valid?
  • Consider the sample size: Is the sample size large enough to be representative of the population?
  • Consider the data analysis: Was the data analysis conducted appropriately?
  • Consider the conclusions of the study: Do the conclusions of the study follow from the data?

Potential Threats to the Credibility of Research Results

There are a number of potential threats to the credibility of research results. These include:

  • Bias: The researchers may be biased in their interpretation of the data.
  • Sampling error: The sample may not be representative of the population.
  • Measurement error: The data may have been collected incorrectly.
  • Confounding variables: There may be other factors that are influencing the results.
  • Data analysis errors: The data may have been analyzed incorrectly.

Ethical Issues in Research

There are a number of ethical issues that can arise in research. These include:

  • Informed consent: The participants must be given informed consent before they participate in the research.
  • Privacy: The participants’ privacy must be protected.
  • Harm to participants: The participants must not be harmed in any way by participating in the research.
  • Use of deception: Deception should not be used in research unless it is absolutely necessary.

Relationship of Data-Collection Types to Social Science Research Methodologies

There are a number of different data-collection types that can be used in social science research. These include:

  • Quantitative data: This type of data is collected using numerical measures.
  • Qualitative data: This type of data is collected using non-numerical measures.
  • Mixed methods data: This type of data is collected using both quantitative and qualitative measures.

The choice of data-collection type will depend on the research question being asked and the research methodology being used.

Most Commonly Used Quantitative Data-Collection Types in Social Sciences

The most commonly used quantitative data-collection types in social sciences are:

  • Surveys: Surveys are a popular way to collect quantitative data. They can be used to collect data on a wide range of topics.
  • Experiments: Experiments are a more controlled way to collect quantitative data. They are often used to test cause-and-effect relationships.
  • Observations: Observations can be used to collect quantitative data on the behavior

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