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  • [Solved] L7

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    According to Herring, “Nixon and Kissinger deserve full credit for their important achievements…the opening of China was long overdue and inevitable, but Nixon and Kissinger seized the moment to start the process and carried it off with consummate diplomatic skill. Following the October War, Kissi…

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    Assignment Prompt & Instructions

    According to Herring, “Nixon and Kissinger deserve full credit for their important achievements…the opening of China was long overdue and inevitable, but Nixon and Kissinger seized the moment to start the process and carried it off with consummate diplomatic skill. Following the October War, Kissinger initiated a Middle East negotiating process that brought some progress toward peace, if not peace itself” (Herring, 2008). Discuss the key elements of U.S. diplomacy to China and to the Middle East. Was the actions taken by the U.S. successful? Why or why not? What is the lasting impact of Nixon’s diplomacy? Does current U.S. foreign policy toward China and the Middle East mirror Nixon’s approach?  800WORDS

  • [Solved] Prof Double R

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    ## Overview In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods. ## Scenario You have been hired by your regional real estate company to determi…

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    Assignment Prompt & Instructions

    ## Overview
    In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.
    ## Scenario
    You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:
    1. Are housing prices in your regional market lower than the national market average?
    2. Is the square footage for homes in your region different than the average square footage for homes in the national market?
    3. For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?
    You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.
    ## Directions
    **Introduction**
    1. **Region:** Start by picking one region from the following list of regions:
    West South Central, West North Central, East South Central, East North Central, Mid Atlantic
    2. **Purpose:** What is the purpose of your analysis?
    3. **Sample:**Define your sample. Take a random sample of 500 house sales for your region.
    1. Describe what is included in your sample (i.e., states, region, years or months).
    4. **Questions and type of test:** For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following _for each hypothesis_:
    1. Describe the population parameter for the variable you are analyzing.
    2. Describe your hypothesis in your own words.
    3. Identify the hypothesis test you will use (1-Tail or 2-Tail).
    5. **Level of confidence:** Discuss how you will use estimation and confidence intervals to help you solve the problem.
    **1-Tail Test**
    1. **Hypothesis:**Define your hypothesis.
    1. Define the population parameter.
    2. Write null (Ho) and alternative (Ha) hypotheses. **Note:** For means, define a hypothesis that _is less than_ the population parameter.
    3. Specify your significance level.
    2. **Data analysis:**Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.
    1. Provide at least one histogram of your sample data.
    2. In a table, provide summary statistics including sample size, mean, median, and standard deviation. **Note:** For quartiles 1 and 3, use the quartile function in Excel:
    =QUARTILE([data range], [quartile number])
    3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). **Note:** For shape, think about the distribution: skewed or symmetric.
    4. Check the conditions.
    1. Determine if the normal condition has been met.
    2. Determine if there are any other conditions that you should check and whether they have been met. **Note:** Think about the central limit theorem and sampling methods.
    3. **Hypothesis test calculations:**Complete hypothesis test calculations.
    1. Calculate the hypothesis statistics.
    1. Determine the appropriate test statistic ( _t_). **Note:** This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.
    2. Calculate the probability ( _p_ value). **Note:** This calculation is done with the T.DIST function in Excel:
    =T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size.
    4. **Interpretation:**Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.
    1. Relate the _p_ value and significance level.
    2. Make the correct decision (reject or fail to reject).
    3. Provide a conclusion in the context of your hypothesis.
    **2-Tail Test**
    1. **Hypotheses:**Define your hypothesis.
    1. Define the population parameter.
    2. Write null and alternative hypotheses. **Note:** For means, define a hypothesis that is _not equal to_ the population parameter.
    3. State your significance level.
    2. **Data analysis:**Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.
    1. Provide at least one histogram of your sample data.
    2. In a table, provide summary statistics including sample size, mean, median, and standard deviation. **Note:** For quartiles 1 and 3, use the quartile function in Excel:
    =QUARTILE([data range], [quartile number])
    3. Summarize your sample data, describing the center, spread, and shape in comparison to the national information. **Note:** For shape, think about the distribution: skewed or symmetric.
    4. Check the assumptions.
    1. Determine if the normal condition has been met.
    2. Determine if there are any other conditions that should be checked on and whether they have been met. **Note:** Think about the central limit theorem and sampling methods.
    3. **Hypothesis test calculations:**Complete hypothesis test calculations.
    1. Calculate the hypothesis statistics.
    1. Determine the appropriate test statistic ( _t_). **Note:** This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
    2. Determine the probability (p value). **Note:** This calculation is done with the TDIST.2T function in Excel:
    =T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size.
    4. **Interpretation:** Interpret your hypothesis test results using the _p_ value method to reject or not reject the null hypothesis.
    1. Compare the _p_ value and significance level.
    2. Make the correct decision (reject or fail to reject).
    3. Provide a conclusion in the context of your hypothesis.
    5. **Comparison of the test results:**Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes?
    1. Calculate and report the 95% confidence interval. Show or describe your method of calculation.
    **Final Conclusions**
    1. **Summarize your findings:** In one paragraph, summarize your findings in clear and concise plain language.
    2. **Discuss:** Discuss whether you were surprised by the findings. Why or why not?
    \
    MAT240HouseListingPricebyRegion1.xlsx](https://www.sweetstudy.com/files/mat240houselistingpricebyregion1-xlsx-10325835 "MAT240HouseListingPricebyRegion1.xlsx")
    \
    MAT240ProjectTwoTemplate.docx](https://www.sweetstudy.com/files/mat240projecttwotemplate-docx-10325837 "MAT240ProjectTwoTemplate.docx")

  • [Solved] Discriminate Quasi-Experimental Research

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    Executive Solution Overview

    Help budding researchers understand the difference between quasi-experiments and true experiments. – ## Week6resources.docx – ## Week6instructions.docx **## Week6resources.docx** · **Describing Your Research Design: Studies With and Without Experimental Manipulations** Cooper, H. (2020). Describing …

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    Assignment Prompt & Instructions

    Help budding researchers understand the difference between quasi-experiments and true experiments.

    – ## Week6resources.docx

    – ## Week6instructions.docx

    **## Week6resources.docx**

    ·
    **Describing Your Research Design: Studies With and Without Experimental Manipulations**

    Cooper, H. (2020). Describing your research design: Studies with and without experimental manipulations. In
    _Reporting quantitative research in psychology: How to meet APA style journal article reporting standards_(2nd ed., pp. 49–71). American Psychological Association.

    ·
    **PsycLearn Research Methods**

    _PsycLearn Research Methods Version 1.4_ (2020). CogBooks, American Psychological Association.

    **Complete Module 9.**
    **This resource is linked in the course.**

    ·
    [**Research Designs and Threats to Internal Validity**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2017-38006-007&site=eds-live)

    Meltzoff, J., & Cooper, H. (2018). Research designs and threats to internal validity. In
    _Critical thinking about research: Psychology and related fields_(2nd ed., pp. 97–116). American Psychological Association.

    ·
    [**Research Strategies in Industrial and Organizational Psychology: Nonexperimental, Quasi-Experimental, and Randomized Experimental Research in Special Purpose and Nonspecial Purpose Settings**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2009-22818-002&site=eds-live)

    Stone-Romero, E. F. (2011). Research strategies in industrial and organizational psychology: Nonexperimental, quasi-experimental, and randomized experimental research in special purpose and nonspecial purpose settings. In
    _S. Zedeck (Ed.), APA handbook of industrial and organizational psychology, Vol 1: Building and developing the organization_ (pp. 37–72). American Psychological Association.

    **## Week6instructions.docx**

    **Quasi-Experimental Research**

    Quasi-experimental research is a type of research design that is frequently used in the real world. In other words, not within a controlled laboratory setting where there is an experimenter wearing a white coat and running tests on genetically identical white mice. With quasi-experimental research, the study is
    _almost_, but not quite a true experiment. Quasi meaning ‘just about’ or ‘partly’ (Gravetter & Foranzo, 2018). Generally, scientists use quasi-experimental research when examining differences among groups that already exist in the real world. For example, if you wanted to explore the attitudes of individuals who are members of the Sierra Club (a club focused on the outdoors, nature, and hiking) to see if they differ from those who are non-members regarding their attitudes and beliefs about conservation and protecting the environment, you should use a quasi-experimental design.

    With a quasi-experimental design, you cannot randomly assign subjects to the different experimental groups or treatment conditions. In this example, you are simply asking existing members of the Sierra Club to describe their attitudes, and then comparing them to non-members. You are unable to randomly assign participants to membership within the Sierra Club. This is why it is considered
    _quasi_-experimental; the lack of the ability to randomly assign participants to being a member of the club or not is the issue.

    As an additional example, if you wanted to explore men's leadership styles versus women within an organization, you would also need to use a quasi-experimental approach. With this type of design, you would simply interview the different leaders within the company who are either male or female. You would not be able to randomly reassign male and female employees to these different leadership roles within the company and then see how they lead. If this were a
    _true_ experiment, however, the researcher would need to do so. This ability to randomly assign subjects to the different experimental groups or conditions is the main difference between a quasi-experimental design and a true experiment. Since the groups are pre-existing in a quasi-experimental design, and random assignment to these different groups or conditions is impossible, you can
    _not_ say that the groups are equivalent before the study begins. In other words, there are probably non-random factors that are causing the individuals to be a part of the different groups, which can be the true cause of any effects observed (not the variable of interest to the researcher). Be sure to reach out with questions about this, and review the video as well for more understanding of this important point of distinction.

    References

    Gravetter, F. J., & Forzano, L. B. (2018).
    _Research methods for the behavioral sciences_(6th ed.). Cengage Learning.

    ### **Instructions**

    You have been asked to help budding researchers understand the difference between quasi-experiments and true experiments. Prepare a tip sheet that could be shared with others that may also serve as a helpful tool for you as you continue your studies. You may include graphics, tables, or other visuals to support your work.

    To begin, provide an example of a quasi-experimental research design where you are studying differences among individuals within pre-existing groups or conditions that occur naturally within the real world. Briefly describe the study, and then include the following in your tip sheet:

    · Explain the issue of random assignment, and detail why it would be necessary to conduct a quasi-experimental study and not a true experiment in this hypothetical study.

    · Interpret how this group membership could be impactful in understanding the results.

    · Conclude with a brief exploration of what you would need to do to convert this into a true experiment, theoretically speaking.

    Length: 2-3 page tip sheet, not including title and reference pages

    References: Include a minimum of 2 scholarly resources.

    The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards.

    **Last assignment’s feedback:**

    In your assignment, you provide a well-detailed and accurate discussion of two descriptive/observational methods that could be used to answer your descriptive research question. You do a wonderful job of outlining limitations of each design and including thoughtful and appropriate ideas for addressing these limitations in your hypothetical study. You are correct that survey design is the best method to answer your research question.

    A small point deduction occurred because you added a component to your descriptive question that does not align with developing strong research questions. Specifically, you added, "and how can we effectively study and compare these levels?" That part of the question cannot be answered by conducting a study; instead, you would answer it by studying research design and statistics to develop knowledge on the most effective methods.

    **## Week6instructions.docx**

    **Quasi-Experimental Research**

    Quasi-experimental research is a type of research design that is frequently used in the real world. In other words, not within a controlled laboratory setting where there is an experimenter wearing a white coat and running tests on genetically identical white mice. With quasi-experimental research, the study is
    _almost_, but not quite a true experiment. Quasi meaning ‘just about’ or ‘partly’ (Gravetter & Foranzo, 2018). Generally, scientists use quasi-experimental research when examining differences among groups that already exist in the real world. For example, if you wanted to explore the attitudes of individuals who are members of the Sierra Club (a club focused on the outdoors, nature, and hiking) to see if they differ from those who are non-members regarding their attitudes and beliefs about conservation and protecting the environment, you should use a quasi-experimental design.

    With a quasi-experimental design, you cannot randomly assign subjects to the different experimental groups or treatment conditions. In this example, you are simply asking existing members of the Sierra Club to describe their attitudes, and then comparing them to non-members. You are unable to randomly assign participants to membership within the Sierra Club. This is why it is considered
    _quasi_-experimental; the lack of the ability to randomly assign participants to being a member of the club or not is the issue.

    As an additional example, if you wanted to explore men's leadership styles versus women within an organization, you would also need to use a quasi-experimental approach. With this type of design, you would simply interview the different leaders within the company who are either male or female. You would not be able to randomly reassign male and female employees to these different leadership roles within the company and then see how they lead. If this were a
    _true_ experiment, however, the researcher would need to do so. This ability to randomly assign subjects to the different experimental groups or conditions is the main difference between a quasi-experimental design and a true experiment. Since the groups are pre-existing in a quasi-experimental design, and random assignment to these different groups or conditions is impossible, you can
    _not_ say that the groups are equivalent before the study begins. In other words, there are probably non-random factors that are causing the individuals to be a part of the different groups, which can be the true cause of any effects observed (not the variable of interest to the researcher). Be sure to reach out with questions about this, and review the video as well for more understanding of this important point of distinction.

    References

    Gravetter, F. J., & Forzano, L. B. (2018).
    _Research methods for the behavioral sciences_(6th ed.). Cengage Learning.

    ### **Instructions**

    You have been asked to help budding researchers understand the difference between quasi-experiments and true experiments. Prepare a tip sheet that could be shared with others that may also serve as a helpful tool for you as you continue your studies. You may include graphics, tables, or other visuals to support your work.

    To begin, provide an example of a quasi-experimental research design where you are studying differences among individuals within pre-existing groups or conditions that occur naturally within the real world. Briefly describe the study, and then include the following in your tip sheet:

    · Explain the issue of random assignment, and detail why it would be necessary to conduct a quasi-experimental study and not a true experiment in this hypothetical study.

    · Interpret how this group membership could be impactful in understanding the results.

    · Conclude with a brief exploration of what you would need to do to convert this into a true experiment, theoretically speaking.

    Length: 2-3 page tip sheet, not including title and reference pages

    References: Include a minimum of 2 scholarly resources.

    The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards.

    **Last assignment’s feedback:**

    In your assignment, you provide a well-detailed and accurate discussion of two descriptive/observational methods that could be used to answer your descriptive research question. You do a wonderful job of outlining limitations of each design and including thoughtful and appropriate ideas for addressing these limitations in your hypothetical study. You are correct that survey design is the best method to answer your research question.

    A small point deduction occurred because you added a component to your descriptive question that does not align with developing strong research questions. Specifically, you added, "and how can we effectively study and compare these levels?" That part of the question cannot be answered by conducting a study; instead, you would answer it by studying research design and statistics to develop knowledge on the most effective methods.

    **## Week6resources.docx**

    ·
    **Describing Your Research Design: Studies With and Without Experimental Manipulations**

    Cooper, H. (2020). Describing your research design: Studies with and without experimental manipulations. In
    _Reporting quantitative research in psychology: How to meet APA style journal article reporting standards_(2nd ed., pp. 49–71). American Psychological Association.

    ·
    **PsycLearn Research Methods**

    _PsycLearn Research Methods Version 1.4_ (2020). CogBooks, American Psychological Association.

    **Complete Module 9.**
    **This resource is linked in the course.**

    ·
    [**Research Designs and Threats to Internal Validity**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2017-38006-007&site=eds-live)

    Meltzoff, J., & Cooper, H. (2018). Research designs and threats to internal validity. In
    _Critical thinking about research: Psychology and related fields_(2nd ed., pp. 97–116). American Psychological Association.

    ·
    [**Research Strategies in Industrial and Organizational Psychology: Nonexperimental, Quasi-Experimental, and Randomized Experimental Research in Special Purpose and Nonspecial Purpose Settings**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2009-22818-002&site=eds-live)

    Stone-Romero, E. F. (2011). Research strategies in industrial and organizational psychology: Nonexperimental, quasi-experimental, and randomized experimental research in special purpose and nonspecial purpose settings. In
    _S. Zedeck (Ed.), APA handbook of industrial and organizational psychology, Vol 1: Building and developing the organization_ (pp. 37–72). American Psychological Association.

    **## Week6instructions.docx**

    **Quasi-Experimental Research**

    Quasi-experimental research is a type of research design that is frequently used in the real world. In other words, not within a controlled laboratory setting where there is an experimenter wearing a white coat and running tests on genetically identical white mice. With quasi-experimental research, the study is
    _almost_, but not quite a true experiment. Quasi meaning ‘just about’ or ‘partly’ (Gravetter & Foranzo, 2018). Generally, scientists use quasi-experimental research when examining differences among groups that already exist in the real world. For example, if you wanted to explore the attitudes of individuals who are members of the Sierra Club (a club focused on the outdoors, nature, and hiking) to see if they differ from those who are non-members regarding their attitudes and beliefs about conservation and protecting the environment, you should use a quasi-experimental design.

    With a quasi-experimental design, you cannot randomly assign subjects to the different experimental groups or treatment conditions. In this example, you are simply asking existing members of the Sierra Club to describe their attitudes, and then comparing them to non-members. You are unable to randomly assign participants to membership within the Sierra Club. This is why it is considered
    _quasi_-experimental; the lack of the ability to randomly assign participants to being a member of the club or not is the issue.

    As an additional example, if you wanted to explore men's leadership styles versus women within an organization, you would also need to use a quasi-experimental approach. With this type of design, you would simply interview the different leaders within the company who are either male or female. You would not be able to randomly reassign male and female employees to these different leadership roles within the company and then see how they lead. If this were a
    _true_ experiment, however, the researcher would need to do so. This ability to randomly assign subjects to the different experimental groups or conditions is the main difference between a quasi-experimental design and a true experiment. Since the groups are pre-existing in a quasi-experimental design, and random assignment to these different groups or conditions is impossible, you can
    _not_ say that the groups are equivalent before the study begins. In other words, there are probably non-random factors that are causing the individuals to be a part of the different groups, which can be the true cause of any effects observed (not the variable of interest to the researcher). Be sure to reach out with questions about this, and review the video as well for more understanding of this important point of distinction.

    References

    Gravetter, F. J., & Forzano, L. B. (2018).
    _Research methods for the behavioral sciences_(6th ed.). Cengage Learning.

    ### **Instructions**

    You have been asked to help budding researchers understand the difference between quasi-experiments and true experiments. Prepare a tip sheet that could be shared with others that may also serve as a helpful tool for you as you continue your studies. You may include graphics, tables, or other visuals to support your work.

    To begin, provide an example of a quasi-experimental research design where you are studying differences among individuals within pre-existing groups or conditions that occur naturally within the real world. Briefly describe the study, and then include the following in your tip sheet:

    · Explain the issue of random assignment, and detail why it would be necessary to conduct a quasi-experimental study and not a true experiment in this hypothetical study.

    · Interpret how this group membership could be impactful in understanding the results.

    · Conclude with a brief exploration of what you would need to do to convert this into a true experiment, theoretically speaking.

    Length: 2-3 page tip sheet, not including title and reference pages

    References: Include a minimum of 2 scholarly resources.

    The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards.

    **Last assignment’s feedback:**

    In your assignment, you provide a well-detailed and accurate discussion of two descriptive/observational methods that could be used to answer your descriptive research question. You do a wonderful job of outlining limitations of each design and including thoughtful and appropriate ideas for addressing these limitations in your hypothetical study. You are correct that survey design is the best method to answer your research question.

    A small point deduction occurred because you added a component to your descriptive question that does not align with developing strong research questions. Specifically, you added, "and how can we effectively study and compare these levels?" That part of the question cannot be answered by conducting a study; instead, you would answer it by studying research design and statistics to develop knowledge on the most effective methods.

    **## Week6resources.docx**

    ·
    **Describing Your Research Design: Studies With and Without Experimental Manipulations**

    Cooper, H. (2020). Describing your research design: Studies with and without experimental manipulations. In
    _Reporting quantitative research in psychology: How to meet APA style journal article reporting standards_(2nd ed., pp. 49–71). American Psychological Association.

    ·
    **PsycLearn Research Methods**

    _PsycLearn Research Methods Version 1.4_ (2020). CogBooks, American Psychological Association.

    **Complete Module 9.**
    **This resource is linked in the course.**

    ·
    [**Research Designs and Threats to Internal Validity**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2017-38006-007&site=eds-live)

    Meltzoff, J., & Cooper, H. (2018). Research designs and threats to internal validity. In
    _Critical thinking about research: Psychology and related fields_(2nd ed., pp. 97–116). American Psychological Association.

    ·
    [**Research Strategies in Industrial and Organizational Psychology: Nonexperimental, Quasi-Experimental, and Randomized Experimental Research in Special Purpose and Nonspecial Purpose Settings**](https://search.ebscohost.com/login.aspx?authtype=shib&custid=natuniv&direct=true&db=psyh&AN=2009-22818-002&site=eds-live)

    Stone-Romero, E. F. (2011). Research strategies in industrial and organizational psychology: Nonexperimental, quasi-experimental, and randomized experimental research in special purpose and nonspecial purpose settings. In
    _S. Zedeck (Ed.), APA handbook of industrial and organizational psychology, Vol 1: Building and developing the organization_ (pp. 37–72). American Psychological Association.

    **## Week6instructions.docx**

    **Quasi-Experimental Research**

    Quasi-experimental research is a type of research design that is frequently used in the real world. In other words, not within a controlled laboratory setting where there is an experimenter wearing a white coat and running tests on genetically identical white mice. With quasi-experimental research, the study is
    _almost_, but not quite a true experiment. Quasi meaning ‘just about’ or ‘partly’ (Gravetter & Foranzo, 2018). Generally, scientists use quasi-experimental research when examining differences among groups that already exist in the real world. For example, if you wanted to explore the attitudes of individuals who are members of the Sierra Club (a club focused on the outdoors, nature, and hiking) to see if they differ from those who are non-members regarding their attitudes and beliefs about conservation and protecting the environment, you should use a quasi-experimental design.

    With a quasi-experimental design, you cannot randomly assign subjects to the different experimental groups or treatment conditions. In this example, you are simply asking existing members of the Sierra Club to describe their attitudes, and then comparing them to non-members. You are unable to randomly assign participants to membership within the Sierra Club. This is why it is considered
    _quasi_-experimental; the lack of the ability to randomly assign participants to being a member of the club or not is the issue.

    As an additional example, if you wanted to explore men's leadership styles versus women within an organization, you would also need to use a quasi-experimental approach. With this type of design, you would simply interview the different leaders within the company who are either male or female. You would not be able to randomly reassign male and female employees to these different leadership roles within the company and then see how they lead. If this were a
    _true_ experiment, however, the researcher would need to do so. This ability to randomly assign subjects to the different experimental groups or conditions is the main difference between a quasi-experimental design and a true experiment. Since the groups are pre-existing in a quasi-experimental design, and random assignment to these different groups or conditions is impossible, you can
    _not_ say that the groups are equivalent before the study begins. In other words, there are probably non-random factors that are causing the individuals to be a part of the different groups, which can be the true cause of any effects observed (not the variable of interest to the researcher). Be sure to reach out with questions about this, and review the video as well for more understanding of this important point of distinction.

    References

    Gravetter, F. J., & Forzano, L. B. (2018).
    _Research methods for the behavioral sciences_(6th ed.). Cengage Learning.

    ### **Instructions**

    You have been asked to help budding researchers understand the difference between quasi-experiments and true experiments. Prepare a tip sheet that could be shared with others that may also serve as a helpful tool for you as you continue your studies. You may include graphics, tables, or other visuals to support your work.

    To begin, provide an example of a quasi-experimental research design where you are studying differences among individuals within pre-existing groups or conditions that occur naturally within the real world. Briefly describe the study, and then include the following in your tip sheet:

    · Explain the issue of random assignment, and detail why it would be necessary to conduct a quasi-experimental study and not a true experiment in this hypothetical study.

    · Interpret how this group membership could be impactful in understanding the results.

    · Conclude with a brief exploration of what you would need to do to convert this into a true experiment, theoretically speaking.

    Length: 2-3 page tip sheet, not including title and reference pages

    References: Include a minimum of 2 scholarly resources.

    The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards.

    **Last assignment’s feedback:**

    In your assignment, you provide a well-detailed and accurate discussion of two descriptive/observational methods that could be used to answer your descriptive research question. You do a wonderful job of outlining limitations of each design and including thoughtful and appropriate ideas for addressing these limitations in your hypothetical study. You are correct that survey design is the best method to answer your research question.

    A small point deduction occurred because you added a component to your descriptive question that does not align with developing strong research questions. Specifically, you added, "and how can we effectively study and compare these levels?" That part of the question cannot be answered by conducting a study; instead, you would answer it by studying research design and statistics to develop knowledge on the most effective methods.

    – 1
    – 2

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  • [Solved] paper 1

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    Research only one topic of your choice below: Three pages, double-spaced, 12-point font, Times Roman, reference page. Immigration

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    Research only one topic of your choice below: Three pages, double-spaced, 12-point font, Times Roman, reference page.
    Immigration

  • [Solved] Prof Double R

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    Create a PowerPoint presentation with key bullet points and a paragraph in the Notes sections to address each of the following: – Identify two retail employers and links to their online job application portals, then: – Articulate the user-friendliness of the application process for the selected empl…

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    Create a PowerPoint presentation with key bullet points and a paragraph in the Notes sections to address each of the following:
    – Identify two retail employers and links to their online job application portals, then:
    – Articulate the user-friendliness of the application process for the selected employer sites.
    – Compare the quality of the job information for each employer's site from an applicant's and an employer's point of view.
    – Select two _general job search_ websites (for example, CareerBuilder, Indeed, SimplyHired, LinkedIn, Monster, et cetera) and:
    – Articulate the ease of use of the general job search sites from both an applicant's and an employer's perspective.
    – Select two _social media_ websites (Instagram, Facebook, Twitter, TikTok, et cetera) and:
    – Articulate, from an employer's perspective, the benefits of social media sites to recruit highly qualified candidates.
    – Based on the information you found:
    – Articulate a recruiting strategy for a retail organization that includes justifications for the selected strategies.
    – Articulate the internet recruiting strategy you will suggest for your retail organization and justify your selections. Will your company have a jobs page linked to the website? Will you also use sites, such as LinkedIn or Indeed, to attract additional applicants? Will you use social media sites?
    – Communicate in a manner that is scholarly, professional, and consistent with expectations of members of the human resources profession.
    – Be sure you communicate in a scholarly, professional manner that addresses the intended audience and is free of grammatical and mechanical errors.

  • [Solved] Sports Nutrition 1

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    – ## MidTermAssignmentFES320.docx **## MidTermAssignmentFES320.docx** #### **FES 320** #### **MidTerm Assignment: Nutritional & Exercise Guidelines for Health and Performance** **Course:** FES 320 – Sports Nutrition **Total Points:** 50 #### **Assignment Overview:** This assignment requires students…

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    – ## MidTermAssignmentFES320.docx

    **## MidTermAssignmentFES320.docx**

    #### **FES 320**

    #### **MidTerm Assignment: Nutritional & Exercise Guidelines for Health and Performance**

    **Course:** FES 320 – Sports Nutrition

    **Total Points:** 50

    #### **Assignment Overview:**

    This assignment requires students to integrate knowledge from Chapters 1-6, along with credible web and research sources, to provide detailed, evidence-based responses to key topics in sports nutrition. Responses should be well-organized, descriptive, and formatted in
    **APA 7th edition** with proper citations.

    #### **Instructions:**

    Using course material and additional scholarly references, thoroughly answer the following questions. Each response should be at
    **least one well-developed paragraph (5-7 sentences minimum).** Support your responses with
    **at least 5 references** (books, research articles, or authoritative web sources).

    ##### **Assignment Questions:**

    1.
    **Physical Activity Guidelines**

    · What are the general physical activity guidelines for adults for both aerobic and resistance training? Include frequency, intensity, duration, and key recommendations from leading organizations (e.g., ACSM, CDC, WHO).

    2.
    **Dietary Carbohydrate Recommendations (General Population)**

    · What are the current dietary carbohydrate recommendations for the general population? Discuss daily intake recommendations in grams or percentage of total caloric intake and the role of carbohydrates in overall health.

    3.
    **Dietary Carbohydrate Recommendations (Athletes vs. General Population)**

    · How do carbohydrate needs differ for athletes compared to the general population? Explain the variations in intake based on exercise intensity, duration, and sport type.

    4.
    **Fat Utilization During Exercise**

    · What factors influence how much fat is used during exercise? Discuss the role of intensity, duration, fitness level, and diet.

    5.
    **Cardiovascular Benefits of Fatty Fish & Fish Oil**

    · Describe the cardiovascular benefits associated with fatty fish and fish oil supplements. What mechanisms contribute to these benefits?

    6.
    **Protein Intake Recommendations**

    · How would you recommend protein intake for sedentary, active, and highly active individuals? Outline the steps used to determine intake and provide numerical guidelines for each category.

    7.
    **Vitamin C Deficiency**

    · List common signs and symptoms associated with vitamin C deficiency. What populations are at higher risk?

    8.
    **Vitamin D & Athletic Performance**

    · How does vitamin D deficiency or insufficiency affect athletes? Discuss the potential impact on performance, recovery, and overall health.

    #### **Formatting & Submission Guidelines:**

    ✅ Responses must be in
    **APA 7th edition format** (double-spaced, 12-point Times New Roman font, 1-inch margins).
    ✅ A
    **minimum of 5 scholarly references** is required. Proper in-text citations and a reference list must be included.
    ✅ Responses should be
    **well-developed and detailed**—short answers are not acceptable.
    ✅ Submit via
    **Blackboard by March 10, 2025.**

    #### **Grading Rubric (50 Points Total)**

    | | | |
    | — | — | — |
    | **Category** | **Criteria** | **Points** |
    | **Content Accuracy & Detail** | Answers are thorough, evidence-based, and directly address each question with appropriate scientific detail. | 20 |
    | **Use of Scholarly Sources** | Cites at least 5 credible sources (peer-reviewed journals, books, authoritative organizations). Uses proper APA citations. | 10 |
    | **Clarity & Organization** | Responses are logically structured, clearly written, and well-articulated. | 10 |
    | **Formatting & APA Compliance** | Proper use of APA 7th edition (in-text citations, reference list, formatting). | 5 |
    | **Grammar & Mechanics** | Writing is free of major grammatical and spelling errors. | 5 |
    | **Total** | | **50** |

    #### **Final Notes:**

    · Plagiarism is strictly prohibited and will result in a
    **zero** for the assignment.

    · Ensure responses are
    **descriptive, detailed, and well-supported with scientific evidence.**

    · Late submissions will be subject to a
    **10 points deduction from the grade.**

    This assignment will enhance your understanding of
    **nutrition and exercise science** while developing your ability to interpret and apply
    **evidence-based recommendations**.

    **## MidTermAssignmentFES320.docx**

    #### **FES 320**

    #### **MidTerm Assignment: Nutritional & Exercise Guidelines for Health and Performance**

    **Course:** FES 320 – Sports Nutrition

    **Total Points:** 50

    #### **Assignment Overview:**

    This assignment requires students to integrate knowledge from Chapters 1-6, along with credible web and research sources, to provide detailed, evidence-based responses to key topics in sports nutrition. Responses should be well-organized, descriptive, and formatted in
    **APA 7th edition** with proper citations.

    #### **Instructions:**

    Using course material and additional scholarly references, thoroughly answer the following questions. Each response should be at
    **least one well-developed paragraph (5-7 sentences minimum).** Support your responses with
    **at least 5 references** (books, research articles, or authoritative web sources).

    ##### **Assignment Questions:**

    1.
    **Physical Activity Guidelines**

    · What are the general physical activity guidelines for adults for both aerobic and resistance training? Include frequency, intensity, duration, and key recommendations from leading organizations (e.g., ACSM, CDC, WHO).

    2.
    **Dietary Carbohydrate Recommendations (General Population)**

    · What are the current dietary carbohydrate recommendations for the general population? Discuss daily intake recommendations in grams or percentage of total caloric intake and the role of carbohydrates in overall health.

    3.
    **Dietary Carbohydrate Recommendations (Athletes vs. General Population)**

    · How do carbohydrate needs differ for athletes compared to the general population? Explain the variations in intake based on exercise intensity, duration, and sport type.

    4.
    **Fat Utilization During Exercise**

    · What factors influence how much fat is used during exercise? Discuss the role of intensity, duration, fitness level, and diet.

    5.
    **Cardiovascular Benefits of Fatty Fish & Fish Oil**

    · Describe the cardiovascular benefits associated with fatty fish and fish oil supplements. What mechanisms contribute to these benefits?

    6.
    **Protein Intake Recommendations**

    · How would you recommend protein intake for sedentary, active, and highly active individuals? Outline the steps used to determine intake and provide numerical guidelines for each category.

    7.
    **Vitamin C Deficiency**

    · List common signs and symptoms associated with vitamin C deficiency. What populations are at higher risk?

    8.
    **Vitamin D & Athletic Performance**

    · How does vitamin D deficiency or insufficiency affect athletes? Discuss the potential impact on performance, recovery, and overall health.

    #### **Formatting & Submission Guidelines:**

    ✅ Responses must be in
    **APA 7th edition format** (double-spaced, 12-point Times New Roman font, 1-inch margins).
    ✅ A
    **minimum of 5 scholarly references** is required. Proper in-text citations and a reference list must be included.
    ✅ Responses should be
    **well-developed and detailed**—short answers are not acceptable.
    ✅ Submit via
    **Blackboard by March 10, 2025.**

    #### **Grading Rubric (50 Points Total)**

    | | | |
    | — | — | — |
    | **Category** | **Criteria** | **Points** |
    | **Content Accuracy & Detail** | Answers are thorough, evidence-based, and directly address each question with appropriate scientific detail. | 20 |
    | **Use of Scholarly Sources** | Cites at least 5 credible sources (peer-reviewed journals, books, authoritative organizations). Uses proper APA citations. | 10 |
    | **Clarity & Organization** | Responses are logically structured, clearly written, and well-articulated. | 10 |
    | **Formatting & APA Compliance** | Proper use of APA 7th edition (in-text citations, reference list, formatting). | 5 |
    | **Grammar & Mechanics** | Writing is free of major grammatical and spelling errors. | 5 |
    | **Total** | | **50** |

    #### **Final Notes:**

    · Plagiarism is strictly prohibited and will result in a
    **zero** for the assignment.

    · Ensure responses are
    **descriptive, detailed, and well-supported with scientific evidence.**

    · Late submissions will be subject to a
    **10 points deduction from the grade.**

    This assignment will enhance your understanding of
    **nutrition and exercise science** while developing your ability to interpret and apply
    **evidence-based recommendations**.

  • [Solved] Create a Reply for a discussion using APA 7 format, and scholarly references no older than 5 years.

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    **Please ensure that the Reply includes more than 200 words with scholarly articles, and the plagiarism level must remain below 20%.** Understanding Person chi-square test The Pearson chi-square test functions as a statistical tool which evaluates the existence of significant relationships between t…

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    **Please ensure that the Reply includes more than 200 words with scholarly articles, and the plagiarism level must remain below 20%.**
    Understanding Person chi-square test
         The Pearson chi-square test functions as a statistical tool which evaluates the existence of significant relationships between two categorical variables. The test evaluates the observed category of frequencies in data against expected frequencies when variables show independence. The chi-squared test of Pearson serves to evaluate three different types of comparisons which include goodness of fit, homogeneity, and independence. A test of goodness of fit determines whether the observed frequency distribution deviates from the theoretical distribution. The test establishes whether observed differences stem from random chance or indicate a real connection between variables. The chi-square test of independence functions as a Pearson chi-square test to evaluate whether two categorical variables show independence or relationships. The test helps establish if gender influences product preference or if handedness affects nationality. The test evaluates whether observed category frequency combinations deviate significantly from expected frequencies when variables show no relationship. (Farina, 2021)
    _The data is arranged in a contingency table which shows the observed frequencies of each combination of categories. The test_ _determines_ _expected frequencies for all table cells based on the assumption that the variables are independent. The Pearson chi-square statistic (χ²) is computed through the process of dividing the squared differences between observed and expected frequencies by the expected frequencies for all cells in the table. The calculated χ² value serves to_ _determine_ _the p-value which shows the chance of finding such differences or more extreme differences when the variables are independent. The null hypothesis of independence gets rejected when the p-value falls below the typical significance level of_ _0.05,_ _which_ _indicates_ _a statistically significant association._ _(Farina, 2021)_
    _The chi-square test shows sensitivity to sample size because bigger samples tend to produce statistically significant results even when the size is small. The test does not_ _establish_ _causality; it only_ _indicates_ _an association between variables. The test requires verification of its assumptions, which include categorical variables and expected frequencies that must be 1 or higher. The chi-square test exists in multiple forms including the chi-square test of homogeneity, so it is crucial to_ _identify_ _the test being applied.(Longe, 2022)_
         The chi-square test functions as a statistical tool which evaluates observed data against predicted results. The main goal of this test is to establish whether observed data differences from expected data result from random chance or from actual relationships between studied variables. (Longe, 2022)
    _The Chi-square test conclusion_ _emerges_ _from comparing the calculated Chi-square statistic to critical values_ _established_ _by degrees of freedom and significance level (alpha). The null hypothesis gets rejected when the calculated Chi-square value exceeds the critical value because this_ _indicates_ _a significant difference between observed and expected frequencies. The null hypothesis_ _remains_ _unchallenged when the calculated Chi-square value does not exceed the critical value._ _(Farina, 2021)_
    **References**
    Farina, A. (2021). _Chi-Square Test_. The Gale Encyclopedia of Science. Vol 2, 6th ed.
    Longe, J. (2022). _Chi-Square Test._ The Gale Encyclopedia of Psychology. Vol 1, 4th ed.

  • [Solved] WK2 DISCUSSION HP-212

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    COMPLETE IN DETAIL 250 WORDS – ## WK2DISCUSSIONHP-212.odt **## WK2DISCUSSIONHP-212.odt** ## Thumbnails/thumbnail.png ##### Professional Billers and Coders Professional Billers and Coders have a moral, legal, and ethical responsibility to submit claims properly. It is vital that students understand t…

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    COMPLETE IN DETAIL 250 WORDS

    – ## WK2DISCUSSIONHP-212.odt

    **## WK2DISCUSSIONHP-212.odt**

    ## Thumbnails/thumbnail.png

    ##### Professional Billers and Coders

    Professional Billers and Coders have a moral, legal, and ethical responsibility to submit claims properly. It is vital that students understand the high stakes. To help you get a feel for the scope of the issue of fraud explore
    [the oig.hhs.gov web site](https://oig.hhs.gov/fraud/enforcement/criminal/).

    ###### Explore the different aspects of billing and coding fraud.

    Include all the following aspects in the discussion:

    – Choose two examples of fraud that interest you

    – Summarize the case

    – Discuss the role the coder played in the fraud

    – Consider what your response would/should be if you were asked to be a part of the fraud

    – Discuss if ignorance of the billing/coding rules provides sufficient legal protection

    COMPLETE IN DETAIL 250 WORDS

    **## WK2DISCUSSIONHP-212.odt**

    ## Thumbnails/thumbnail.png

    ##### Professional Billers and Coders

    Professional Billers and Coders have a moral, legal, and ethical responsibility to submit claims properly. It is vital that students understand the high stakes. To help you get a feel for the scope of the issue of fraud explore
    [the oig.hhs.gov web site](https://oig.hhs.gov/fraud/enforcement/criminal/).

    ###### Explore the different aspects of billing and coding fraud.

    Include all the following aspects in the discussion:

    – Choose two examples of fraud that interest you

    – Summarize the case

    – Discuss the role the coder played in the fraud

    – Consider what your response would/should be if you were asked to be a part of the fraud

    – Discuss if ignorance of the billing/coding rules provides sufficient legal protection

    COMPLETE IN DETAIL 250 WORDS

  • [Solved] Create a Reply for a discussion using APA 7 format, and scholarly references no older than 5 years.

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    **Please ensure that the Reply includes more than 200 words with scholarly articles, and the plagiarism level must remain below 20%.** **Disseminating Research Findings** In research, in addition to researchers strategically planning how to conduct their research, it is also imperative for them to p…

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    **Please ensure that the Reply includes more than 200 words with scholarly articles, and the plagiarism level must remain below 20%.**
    **Disseminating Research Findings**
    In research, in addition to researchers strategically planning how to conduct their research, it is also imperative for them to plan how to disseminate findings after the investigations are concluded. Research dissemination refers to the process through which researchers share their findings and their interpretation and relevance to other parties who might be interested, so as to enhance awareness and uptake. Many individuals now consider public participation in science and its greater distribution to be essential components of open science (Ross-Hellauer et al., 2020). Research findings can be disseminated through journal articles, brochures, physical meetings (conferences), social media networks, and press releases.
    One way through which research findings can be shared is through journal publication. The main way that other researchers may read the work of others is through journal articles, with investigators preferring to use the peer-reviewed process (Capili & Anastasi, 2024). The research team publishing their findings in journals and indexing them in relevant databases may choose to make the journals freely accessible, or restrict their access by requiring interested parties to pay before accessing. In addition to journal publications, researchers can also share their findings through meticulously designed flyers and brochures. A lot of the material produced throughout the research approach contains graphics like graphs and tables, which are especially flexible for this layout. However, one downside of using flyers and brochures to disseminate research findings is that these forms need a significant reduction of content owing to space constraints, as they are usually just a few pages.
    Another way through which research dissemination can be achieved is through conferences and seminars. In such situations, researchers prepare how they are going to share their findings and present them in physical meetings with the target audience. For example, researchers may prepare PowerPoint slides to help them emphasize their main point, offer organization, and highlight significant facts concerning their research and any other relevant matters. By providing a chance to get input from colleagues and subject-matter professionals, presentations can raise awareness of research (Capili & Anastasi, 2024). Additionally, conferences offer networking opportunities that might assist in promoting researchers’ work or perhaps lead to desirable and helpful partnerships with other relevant stakeholders in the discipline.
    Furthermore, in addition to the other dissemination means discussed, researchers can also leverage technology by using social media platforms to disseminate their findings. Social media platforms like Instagram, LinkedIn, Facebook, X (formerly Twitter), and YouTube are preferred, especially in the current era, considering most people spend their time on them (Capili & Anastasi, 2024). Social media platforms may be used to interact with a target demographic, spread research findings, and generate interest in a subject. For instance, researchers can use Instagram to share links to publications on their profiles so that friends can view them. Lastly, researchers can disseminate their findings through a press release, which is suitable because it can reach a diverse audience (Capili & Anastasi, 2024). Additionally, it can give researchers and decision-makers vital information.
    In conclusion, research dissemination refers to the process through which researchers share their findings, interpretations, and relevance to other parties who might be interested, so as to enhance awareness and uptake. Journals, which are indexed in research databases, can be used to publish research findings. Researchers may also use brochures and conferences (which are usually in the form of physical meetings). Conferences offer networking chances that might assist in promoting researchers’ work or potentially lead to desirable and helpful partnerships with other relevant stakeholders in the discipline. Lastly, research dissemination can be achieved through social media platforms where most people spend their time and through press releases, which can reach a diverse audience.
    **References**
    Capili, B., & Anastasi, J. K. (2024). Methods to disseminate research: A primer. _The American Journal of Nursing, 124_(7), 36–39. [https://doi.org/10.1097/01.NAJ.0001025644.87717.4c](https://doi.org/10.1097/01.NAJ.0001025644.87717.4c)
    Ross-Hellauer, T., Tennant, J. P., Banelytė, V., Gorogh, E., Luzi, D., Kraker, P., Pisacane, L., Ruggieri, R., Sifacaki, E., & Vignoli, M. (2020). Ten simple rules for innovative dissemination of research. _PLoS Computational Biology, 16_(4), e1007704. [https://doi.org/10.1371/journal.pcbi.1007704](https://doi.org/10.1371/journal.pcbi.1007704)