Quantitative method
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This document discusses the relationships between tests and scales, populations, reliability, and validity in quantitative research methods. It provides examples of using surveys and experiments to collect numerical data from populations about their opinions or the possible outcomes of situations. Specifically, it describes an experiment conducted using blog debates that surveyed a population of voters on their preferences for online debate formats using a Likert scale. The scale was found to be a valid measurement tool for that population and could potentially be used for other populations when collecting Internet-based responses.
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Main Question Post Wylie Tidwell 7/6/11 4:13 PM
Comment [1]: 2- or 3-paragraph analysis
of the relationships among tests and
In a Quantitative Method, there are surveys and experiments. If a survey is selected it scales, populations, and reliability and
validity. Additionally, post 1 or 2
would provide the researcher with numerical values that could show a population’s opinions or paragraphs describing the test and scale
examples from your discipline, including
the populations, the reliability and validity
trends in regards to a particular topic (Creswell, 2003, p. 153). Whereas, an experiment will of each test, and whether the test and
scale could be applied to another
population.
provide evidence of a possible outcome of a particular situation, within parameters set by the
researcher (Creswell, 2003, pp. 153-154). The relationships between test and scales, populations,
and reliability and validly is essential for quality research.
There are a few key reasons that we use test and scale in quantitative research. First, they
enable the researcher to represent various variables by a single score, which limits the hardships
of dealing with complex data (Frankfort-Nachmias & Nachmias, 2008, p. 415). Next, the results
gathered from scales and indexes are typically more accurate data (Frankfort-Nachmias &
Nachmias, 2008, p. 415). Lastly, they increase the reliability of the measurement overall
(Frankfort-Nachmias & Nachmias, 2008, p. 415). Remember, reliability is the errors that appear
in the research due to inconsistently in the observations taken using a particular measurement
(Frankfort-Nachmias & Nachmias, 2008, p. 154), thus helping with the empirical validity of the
experiment.
For example, in Miles Maguire’s article, “Online Debates in Oshkosh: Using the Blog to
Promote and Engaged Electorate”, the researcher used “a pair of experiments in using the blog
format as the mechanism for candidate debates” (Maguire, 2008, p. 327). The population for this
particular research was the electorate and they way that media has affected the ways debates are
viewed. The researcher states, “participatory journalism is a form of reporting that has been
enabled by the development of Web log software and that allows individual citizens –whether
trained as journalist or not –to take an active role in shaping the coverage of their communities](https://image.slidesharecdn.com/quantitativemethod-121024095509-phpapp02/85/Quantitative-method-1-320.jpg)
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Discuss the differences between the three major approaches surroundi.docx
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Requires 250-300 words each forum.
#1
For this week’s forum post, We discuss the three major approaches surrounding collection and analysis of data. The first of the three approaches are quantitative. Quantitative, represents the method of utilizing numeric data and statistics in communicating the results. The second of the three approaches are qualitative. Qualitative represents the method of gathering data in the form of words and descriptions, such as interviews and focus groups, to communicate the results. The third, and final approach surrounding collection and analysis of data is mixed methods. Mixed methods incorporate both of what the quantitative and qualitative approach focus on. Using both numeric data and personal communication (Todd, Nerlich, McKeown, Clarke, p.2,3)
Quantitative
The quantitative method, involves numeric data and statistics to communicate findings. It emphasizes data, measured objectively, because it cannot be disputed. Polls, questionnaires, and surveys are three methods used in the collection of statistical, mathematical, or numerical analysis of data. The primary purpose of quantitative research is to explain a particular event. By gathering a specific type of data, and generalizing it across an area small or wide. The goal, is to determine the relationships between variables, in that given area. Typically, this type of research is used to create graphs and tables of raw data. (Todd, Nerlich, McKeown, Clarke, p.2,3). This method would involve survey and ethnographic, because both are products of statistical analysis.
Qualitative
The qualitative method, involves gathering data in the form of words and descriptions. It emphasizes to understand the social reality of a given group and cultures as nearly as possible as its participants feel it or live it. The study is conducted in the person or groups natural setting. The goal of the qualitative approach is to understand the “why” behind a particular phenomenon, or behavior, acts the way it does. (Saul McLeon, p.1,2)
This method would involve narrative and case study, because both of those studies involve personal data. Data that is received in the form of words.
Mixed Method
The mixed method, combines both of the approaches, that the quantitative and qualitative method focus on. It emphasizes the collection, analysis, and integrating quantitative and qualitative research. The issue with both qualitative and quantitative research, is that there are weaknesses to only using one method at a time. Mix.
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Running head: APPLIED RESEARCH PROJECT 1
APPLIED RESEARCH PROJECT 6
Module 7 Assignment 7.1
Applied Research Project
Survey Design Quantitative Methods
Karen Crump
National Louis University
Dr. Cherie Meador
Introduction
By evaluating the development and learning programs, employers can ensure their development and learning initiatives can be put in line with their overall development and learning strategies and business objectives (Harlow, Burkholder and Morrow, 2002). An efficient evaluation process for learning or development in organizations needs the firm to understand their learning needs, whether or not these align with the established strategy of growth and learning as well as how the program supports the entire plan. There are various quantitative techniques which employers can use to evaluate learning and development in corporations. These include testimonials to quantitative research approaches, development metrics testimonies, and post-training questionnaires. Education contributes to strategic values that are aligned with the objectives of a business, thus evaluating the process is a crucial activity in corporations (Harlow, Burkholder and Morrow, 2002). This work will analyze a quantitative survey design that can be used to collect and analyze data in a corporation’s learning and development (L&D) program. The validity and reliability of the model will also be provided.
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#35321 Topic Discussion Validity in Quantitative Research Design.docx
#35321 Topic: Discussion: Validity in Quantitative Research Designs
Number of Pages: 1 (Double Spaced)
Number of sources: 3
Writing Style: APA
Type of document: Essay
Academic Level:Master
Category: Nursing
VIP Support: N/A
Language Style: English (U.S.)
Order Instructions: ATTACHED
Validity in research refers to the extent researchers can be confident that the cause and effect they identify in their research are in fact causal relationships. If there is low validity in a study, it usually means that the research design is flawed and the results will be of little or no value. Four different aspects of validity should be considered when reviewing a research design: statistical conclusion validity, internal validity, construct validity, and external validity. In this Discussion, you consider the importance of each of these aspects in judging the validity of quantitative research.
To prepare:
Review the information in Chapter 10 of the course text on rigor and validity.
Read the method section of one of the following quasi-experimental studies (also located in this week抯 Learning Resources). Identify at least one potential concern that could be raised about the study抯 internal validity.
Metheny, N. A., Davis-Jackson, J., & Stewart, B. J. (2010). Effectiveness of an aspiration risk-reduction protocol. Nursing Research, 59(1), 18�.
Padula, C. A., Hughes, C., & Baumhover, L. (2009). Impact of a nurse-driven mobility protocol on functional decline in hospitalized older adults. Journal of Nursing Care Quality, 24(4), 325�1.
Yuan, S., Chou, M., Hwu, L., Chang, Y., Hsu, W., & Kuo, H. (2009). An intervention program to promote health-related physical fitness in nurses. Journal of Clinical Nursing, 18(10), 1,404�411.
Consider strategies that could be used to strengthen the study抯 internal validity and how this would impact the three other types of validity.
Think about the consequences of an advanced practice nurse neglecting to consider the validity of a research study when reviewing the research for potential use in developing an evidence-based practice.
By Day 3
Post the title of the study that you selected and your analysis of the potential concerns that could be raised about the study抯 internal validity. Propose recommendations to strengthen the internal validity and assess the effect your changes could have with regard to the other three types of validity. Discuss the dangers of failing to consider the validity of a research study.
Required Readings
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.
Chapter 10, 揜igor and Validity in Quantitative Research�
This chapter introduces the concept of validity in research and describes the different types of validity that must be addressed. Key threats to validity are also explored.
Chapter 11, 揝pecific Types of Quantitative Research�
This chapter focuses on th.
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For this week’s forum post, We discuss the three major approaches surrounding collection and analysis of data. The first of the three approaches are quantitative. Quantitative, represents the method of utilizing numeric data and statistics in communicating the results. The second of the three approaches are qualitative. Qualitative represents the method of gathering data in the form of words and descriptions, such as interviews and focus groups, to communicate the results. The third, and final approach surrounding collection and analysis of data is mixed methods. Mixed methods incorporate both of what the quantitative and qualitative approach focus on. Using both numeric data and personal communication (Todd, Nerlich, McKeown, Clarke, p.2,3)
Quantitative
The quantitative method, involves numeric data and statistics to communicate findings. It emphasizes data, measured objectively, because it cannot be disputed. Polls, questionnaires, and surveys are three methods used in the collection of statistical, mathematical, or numerical analysis of data. The primary purpose of quantitative research is to explain a particular event. By gathering a specific type of data, and generalizing it across an area small or wide. The goal, is to determine the relationships between variables, in that given area. Typically, this type of research is used to create graphs and tables of raw data. (Todd, Nerlich, McKeown, Clarke, p.2,3). This method would involve survey and ethnographic, because both are products of statistical analysis.
Qualitative
The qualitative method, involves gathering data in the form of words and descriptions. It emphasizes to understand the social reality of a given group and cultures as nearly as possible as its participants feel it or live it. The study is conducted in the person or groups natural setting. The goal of the qualitative approach is to understand the “why” behind a particular phenomenon, or behavior, acts the way it does. (Saul McLeon, p.1,2)
This method would involve narrative and case study, because both of those studies involve personal data. Data that is received in the form of words.
Mixed Method
The mixed method, combines both of the approaches, that the quantitative and qualitative method focus on. It emphasizes the collection, analysis, and integrating quantitative and qualitative research. The issue with both qualitative and quantitative research, is that there are weaknesses to only using one method at a time. Mix.
Week 1-2 -INTRODUCTION TO QUANTITATIVE RESEARCH.pptx
The document discusses quantitative research methods. It defines quantitative research as seeking to quantify data and generalize results from a sample to a population. Key concepts covered include descriptive research, which describes current statuses of variables, and correlational research, which examines relationships between variables without manipulating them. Common quantitative research designs like surveys, experiments, and ex post facto research are described. The document also discusses validity, reliability, sampling, data types, and the statistical analysis process.
Running head APPLIED RESEARCH PROJECT .docx
Running head: APPLIED RESEARCH PROJECT 1
APPLIED RESEARCH PROJECT 6
Module 7 Assignment 7.1
Applied Research Project
Survey Design Quantitative Methods
Karen Crump
National Louis University
Dr. Cherie Meador
Introduction
By evaluating the development and learning programs, employers can ensure their development and learning initiatives can be put in line with their overall development and learning strategies and business objectives (Harlow, Burkholder and Morrow, 2002). An efficient evaluation process for learning or development in organizations needs the firm to understand their learning needs, whether or not these align with the established strategy of growth and learning as well as how the program supports the entire plan. There are various quantitative techniques which employers can use to evaluate learning and development in corporations. These include testimonials to quantitative research approaches, development metrics testimonies, and post-training questionnaires. Education contributes to strategic values that are aligned with the objectives of a business, thus evaluating the process is a crucial activity in corporations (Harlow, Burkholder and Morrow, 2002). This work will analyze a quantitative survey design that can be used to collect and analyze data in a corporation’s learning and development (L&D) program. The validity and reliability of the model will also be provided.
Quantitative Survey techniques
An example of a quantitative research technique that can be used in corporations to evaluate L&D programs is the survey research method. This approach involves a process where the researcher poses some set of predetermined questions a sample of individuals and an entire group of persons. This research method is particularly useful in cases where a researcher is interested in explaining or describing features of groups or a considerable group. This method may also be employed as a way of obtaining general information on a particular population of interest which in turn helps one prepare for in-depth and more focused research that makes use of highly time-intensive methods including interviews and field research. In such a scenario, a survey is central in a researcher bid to identify specific locations and specific individuals from which additional data can be obtained or collected (Creswell & Creswell, 2017). Just like other methods of data collection, survey research is better suited and positioned to provide answers to some kinds of research questions in comparison to other research methods (Creswell & Creswell, 2017).
The Design of Quantitative Survey Method: Questionnaires
Quantitative survey design like Post-training questionnaire is aimed at understanding and discovering the thoughts of people, their action, and their feelings concerning a specific ...
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#35321 Topic Discussion Validity in Quantitative Research Design.docx
#35321 Topic: Discussion: Validity in Quantitative Research Designs
Number of Pages: 1 (Double Spaced)
Number of sources: 3
Writing Style: APA
Type of document: Essay
Academic Level:Master
Category: Nursing
VIP Support: N/A
Language Style: English (U.S.)
Order Instructions: ATTACHED
Validity in research refers to the extent researchers can be confident that the cause and effect they identify in their research are in fact causal relationships. If there is low validity in a study, it usually means that the research design is flawed and the results will be of little or no value. Four different aspects of validity should be considered when reviewing a research design: statistical conclusion validity, internal validity, construct validity, and external validity. In this Discussion, you consider the importance of each of these aspects in judging the validity of quantitative research.
To prepare:
Review the information in Chapter 10 of the course text on rigor and validity.
Read the method section of one of the following quasi-experimental studies (also located in this week抯 Learning Resources). Identify at least one potential concern that could be raised about the study抯 internal validity.
Metheny, N. A., Davis-Jackson, J., & Stewart, B. J. (2010). Effectiveness of an aspiration risk-reduction protocol. Nursing Research, 59(1), 18�.
Padula, C. A., Hughes, C., & Baumhover, L. (2009). Impact of a nurse-driven mobility protocol on functional decline in hospitalized older adults. Journal of Nursing Care Quality, 24(4), 325�1.
Yuan, S., Chou, M., Hwu, L., Chang, Y., Hsu, W., & Kuo, H. (2009). An intervention program to promote health-related physical fitness in nurses. Journal of Clinical Nursing, 18(10), 1,404�411.
Consider strategies that could be used to strengthen the study抯 internal validity and how this would impact the three other types of validity.
Think about the consequences of an advanced practice nurse neglecting to consider the validity of a research study when reviewing the research for potential use in developing an evidence-based practice.
By Day 3
Post the title of the study that you selected and your analysis of the potential concerns that could be raised about the study抯 internal validity. Propose recommendations to strengthen the internal validity and assess the effect your changes could have with regard to the other three types of validity. Discuss the dangers of failing to consider the validity of a research study.
Required Readings
Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Philadelphia, PA: Wolters Kluwer.
Chapter 10, 揜igor and Validity in Quantitative Research�
This chapter introduces the concept of validity in research and describes the different types of validity that must be addressed. Key threats to validity are also explored.
Chapter 11, 揝pecific Types of Quantitative Research�
This chapter focuses on th.
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This document discusses quantitative research methods, including its characteristics, strengths, weaknesses, and different design types. It notes that quantitative research uses numerical data and statistical analysis to make generalizations about problems. It identifies some key characteristics as using standardized instruments, objective measurement scales, and statistical analysis of relationships between variables. The document also outlines strengths like reliability and validity, and weaknesses such as being time-consuming and difficult. Finally, it describes different quantitative research design types, including experimental designs like true experiments and quasi-experiments, and non-experimental descriptive designs like surveys and correlational studies.
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Quantitative method
- 1. 1 Main Question Post Wylie Tidwell 7/6/11 4:13 PM Comment [1]: 2- or 3-paragraph analysis of the relationships among tests and In a Quantitative Method, there are surveys and experiments. If a survey is selected it scales, populations, and reliability and validity. Additionally, post 1 or 2 would provide the researcher with numerical values that could show a population’s opinions or paragraphs describing the test and scale examples from your discipline, including the populations, the reliability and validity trends in regards to a particular topic (Creswell, 2003, p. 153). Whereas, an experiment will of each test, and whether the test and scale could be applied to another population. provide evidence of a possible outcome of a particular situation, within parameters set by the researcher (Creswell, 2003, pp. 153-154). The relationships between test and scales, populations, and reliability and validly is essential for quality research. There are a few key reasons that we use test and scale in quantitative research. First, they enable the researcher to represent various variables by a single score, which limits the hardships of dealing with complex data (Frankfort-Nachmias & Nachmias, 2008, p. 415). Next, the results gathered from scales and indexes are typically more accurate data (Frankfort-Nachmias & Nachmias, 2008, p. 415). Lastly, they increase the reliability of the measurement overall (Frankfort-Nachmias & Nachmias, 2008, p. 415). Remember, reliability is the errors that appear in the research due to inconsistently in the observations taken using a particular measurement (Frankfort-Nachmias & Nachmias, 2008, p. 154), thus helping with the empirical validity of the experiment. For example, in Miles Maguire’s article, “Online Debates in Oshkosh: Using the Blog to Promote and Engaged Electorate”, the researcher used “a pair of experiments in using the blog format as the mechanism for candidate debates” (Maguire, 2008, p. 327). The population for this particular research was the electorate and they way that media has affected the ways debates are viewed. The researcher states, “participatory journalism is a form of reporting that has been enabled by the development of Web log software and that allows individual citizens –whether trained as journalist or not –to take an active role in shaping the coverage of their communities
- 2. 2 (Maguire, 2008, p. 329). The Likert scale used for the research asked how they would like Blog based debates based on the population gender and age. The research was valid because they surveyed the whole district and allowed answers to be “no response”. This type scale could definitely be used within other populations because if using Internet based response systems, this is the best way for it to be done.
- 3. 3 References Creswell, J. (2003). Research Design (2nd ed.). Thousand Oaks, CA: Sage. Frankfort-Nachmias, C., & Nachmias, D. (2008). Research Methods in the Social Sciences (7th ed.). New York: Worth. Maguire, M. (2008). Online Debates in Oshkosh: Using the Blog to Promote an Engaged Electorate. Journal of Information Technology & Politics, 5(3), 327-341.