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CWU Economics Covid 19 Influence on Crime Rates Essay

CWU Economics Covid 19 Influence on Crime Rates Essay

CWU Economics Covid 19 Influence on Crime Rates Essay

Description

We did research (effect of covid on crime rate)

I have done data analysis, intro& conclusion, abstract, method, literature review during this semester. Currently, I need to submit a final version of a complete paper. Basically, all need to do is paraphrase (since we have already submit each section during the semester)and put everything together follow the rubric.

Your paper should have the following format and sections. Below is a reference to the Rubric and what I’ll be looking for in each section. SEE THE RUBRIC FOR POINT TOTALS.

Abstract [text]

Describes the research problem and why it is important

States research purpose

Summarizes research question(s)

Briefly describes the research design, methods and data analysis procedures

Briefly states results and contribution to the literature.

  • This criterion is linked to a Learning Outcome.   
    Section I: INTRODUCTION [bold]
  • Clearly demonstrates the significance of problem and worthiness of the study.
  • A summary of the problem is well articulated and substantiates the study with references to more detailed discussions in Section II.
  • The problem statement describes the need for increased understanding about the issue to be studied.
  • The nature of the study, specific research questions, and research objectives are briefly and clearly described. Reference is made to more detailed discussions in Section III.

The purpose of the study is described in a logical, explicit manner.

The conceptual framework shows which ideas from the contemporary scholarship support/justify the research being conducted

Key terms are operationally defined

Assumptions, Limitations, Scope, and Delimitations provide descriptions of:

Facts assumed to be true but not verified;

Potential weaknesses of the study;

The bounds of the study

  • The Significance of the Study is described in terms of
  • How the study can be applied to solve a problem, or
  • Professional application, or
  • Positive social change
  • Contribution to the Literature (what you’ve added)
  • Section I ends with a transition statement that contains a summary or key points of the study and an overview of the content of the remaining sections in the study.
  • Section II: LITERATURE REVIEW [bold]
  • There is an introduction that describes:

The content of the review the review

  • The organization of the review
  • The strategy used for searching the literature
  • The review of related research and literature is clearly related to the problem statement as expressed in the research questions and objectives
  • The review of the related research and literature includes

Comparisons/contrasts of different points of view of different research outcomes

  • The relationship of the study to the previous empirical research that has come before it
  • The review contains concise summaries of literatures that help
  • Define the most important aspects of the study;
  • Substantiate the rationale of conceptual framework for the study
  • Literature related to the research method is reviewed (cited and briefly explained).

Literature related to the use of differing methodologies to investigating the outcomes of interest is reviewed. Here you justify why your methodology, as opposed to say, just OLS, is more appropriate.

The review is an integrated, critical essay on the most relevant and current published knowledge on the topic. The review is organized around major themes. SEE the Annotated Bibliography assignment for more about creating “themes” for your literature review.

This criterion is linked to a Learning OutcomeSection III: RESEARCH METHOD [bold]

Provides the generalized regression equation that indicates the units of observations and includes a table explaining each variable and its units.

  • Includes a description of the empirical methodology and approach.

Provides justification for using that methodology and approach.

  • This criterion is linked to a Learning OutcomeSection IV: DATA [bold]
  • Explains the source (and sources are cited in the References) for each variable.
  • For any variables created using the researcher’s own calculations, such variables and calculations are clearly explained.
  • All monetary values across time are adjusted for inflation and the base year is clearly stated.
  • Dates of the data are clearly explained and justified, and any shortcomings of such dates used are explained.

This criterion is linked to a Learning OutcomeSection V: DATA EXPLORATION [bold]

  • Introductory sentence explaining the section is provided, along with a summary of what analyses will be offered.
  • Subsection: Summary Statistics [bold]
  • Summary statistics TABLE:

Descriptive summary statistics are provided in a table created by the researcher (NOT COPIED FROM STATA, R, or the like). For each variable in the analysis, the Max, Min, Mean, Median, Std Dev AND TOTAL Number of Observations are provided where applicable. For categorical data, frequencies (# of observations per category AND % of the data that are of that category) are provided where applicable for such data types.

  • Summary statistics EXPLANATION:
  • Highlights of interests inferences from the summary statistics are explained. Also explained is from the summary stats whether it can be justified that the sample data is a random sample from the population studied.
  • Subsection: Correlation Matrix [bold]
  • CORRELATION MATRIX:
  • A correlation matrix is provided to show the correlations between EVERY variable that theoretically explains the dependent variables (whether or not such data is used in the regressions), as well as every dependent variable. (You can split up the correlation matrices in some logical way if it makes them easier to read, but you must have matrices that in some way compare EVERY combination of EVERY variable (dependent/independent and independent/independent).

CORRELATION MATRIX Dependent variable(s) vs Independent variables

The correlations between each dependent variable and the independent variables are explained and the relevant correlations are HIGHLIGHTED in the matrix and explained (for example, the variable of interest and the dep variable).

CORRELATION MATRIX – CORRELATIONS WITH DEPENDENT VARIABLE:

The researcher reiterates their hypotheses as confirmed in the matrix, or if the correlations reveal opposite signs, the researcher attempts to explain why the signs are opposite what one would expect based on theory or other rationale.

CORRELATION MATRIX: POTENTIAL MULTICOLLINEARITY:

  • The researcher uses the correlation matrix to address any potential multicollinearity between independent variables and how they plan to handle such multicollinearity in their causal analysis.
  • Subsection: Data Visualization [bold]
  • DATA VISUALIZATIONS:

At least three graphs are provided AND explained to offer visualization of the data illustrating interesting correlations or telling other interesting stories about the data (may or may not directly deal with the research question).

NO MORE THAN TWO GRAPHS ARE OF THE SAME TYPE.

Subsection: T-tests [bold]

T-tests: At least two t-test are offered.

Results are presented in a table for each test or a combined table that is NOT COPIED FROM STATA, R, or the like — only the relevant information from the test is provided in the table.

  • The Hypotheses that are tested are clearly explained and it’s explained how the two tests provide insight into the research question or interesting aspects of the data. The results are explained and interpreted clearly and correctly, offering inference as to what the results of the t-tests mean with respect to statistical significance and economic significance.
  • Outliers: Research explains HOW they determined if any outliers exist in the data. If outliers exist, research explains how they handled such outliers (note, throwing out outliers is not necessarily the correct solution so justifications must be made).
  • Conclusion/Transition paragraph is offered to briefly summarize what’s learned in the data exploration and transition to the causal analysis Section VI.
  • This criterion is linked to a Learning OutcomeSection VI: CAUSAL ANALYSIS [bold]

Introduction sentence rewrites the general regression equation that will be analyzed and summarizes the regression model used

For any regressions analyzing the SAME dependent variable, all regression results are put into one hierarchical table that follows the format of the table explained in the Economic Freedom Data Analysis assignment. NO TABLES SHOULD BE COPIED FROM STATA, R, or the like. Tables should be titled. Statistical significance indicators should be defined. If a DIFFERENT DEPENDENT variable is analyzed, a different hierarchical regression table will be provided.

Regression results are explained in a meaningful and clear way, breaking up the analysis into subsections if necessary. Interpretation of the coefficients are correctly stated.

For any interpretation that has little meaning, effort is made to interpret in an economic way (translate the meaning of the coefficient into an interpretation that the reader can better relate to).

Statistical significance is discussed for variable(s) of interest and any variables that have significance. Economic significance, regardless of statistical significance, is discussed.

  • This section of the paper can be divided into subsections to make the analysis clearer (for example, if you have multiple dependent variables or you use different regression methods, etc).

Ignoring the interpretation of the results and/or incorrectly interpreting the results will result in a low score.

Reference to initial hypotheses are made, comparing results to the estimated results.

How the results address the research question is clearly explained and discussed.

  • This criterion is linked to a Learning OutcomeSection VII: DISCUSSION AND CONCLUSION [bold]

The section begins with a brief Overview of why and how the study was done, reviewing the questions or issues being addressed and a brief summary of the findings and contribution to the literature.

  • The Interpretation of Findings
  • includes conclusions that address all of the research questions,

contains references to outcomes in Section VI,

  • covers all the data,

is bounded by the evidence collected — shortcomings of the research are highlights, and

relates the findings to a larger body of literature on the topic, including the conceptual/theoretical framework,

includes a discussion of the practical applications of the findings.

  • Policy Prescriptions

should flow logically from the conclusions and

  • state who needs to pay attention to the results, and
  • indicate how the results might be disseminated.

Recommendations for Further Research point to topics that need closer examination and may generate a new round of questions. You also explain how you would advanced your research analysis.

  • The work closes with a strong concluding statement making the “take-home message” clear to the reader

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