Assignment Instructions: Part 1: Research and Resource Collection (Library Exploration) Library Visit and Resource Identification: Visit your university or local library (physically or through online databases). Identify at least three credible sources (textbooks, academic articles, industry guides, etc.) that cover: The principles of survey design. Best practices for writing survey questions (e.g., avoiding bias, using clear language). Techniques for selecting a sample and ensuring survey validity and reliability. Case studies or examples of successful survey designs. Resource Summary: For each of the three selected resources, provide a summary (150-200 words) that includes: The main topics discussed in the resource. The relevance of the resource to understanding survey design. How the resource contributes to your knowledge of creating effective surveys. Part 2: Key Components of Survey Design Survey Design Principles: Write an analysis (400-500 words) addressing the following aspects of survey design: The importance of clear objectives: Why is it essential to define the purpose of the survey before designing it? Question types and structure: Discuss the different types of survey questions (e.g., open-ended, Likert scale, multiple choice) and when to use them. Avoiding bias: Explain common pitfalls that lead to biased questions and how they can be avoided. Layout and formatting: Discuss how the design and organization of a survey impact response rates and data accuracy. Sampling Techniques: Explain the different sampling techniques (e.g., random sampling, stratified sampling, convenience sampling) in the context of surveys. Discuss: How to select an appropriate sampling method based on the surveys goals. The importance of sample size in achieving reliable results. Part 3: Practical Application – Designing Your Own Survey Survey Design Project: Design a short survey (5-6 questions) on a topic of your choice (e.g., student satisfaction, consumer preferences, social behavior). Consider the following: Clearly state the surveys objective. Identify the target population and describe the sampling method you would use. Design questions that are clear, unbiased, and appropriate for the topic. Ensure a logical flow and effective formatting for the survey. Survey Rationale: Write a 300-400 word rationale explaining: Why you chose the topic and objectives for your survey. The reasoning behind your choice of question types and sampling method. How you ensured that your survey design minimizes bias and encourages accurate responses. Part 4: Reflection and Conclusion Critical Reflection: Reflect on the challenges and considerations involved in survey design. In 200-300 words, discuss: What you learned about creating effective surveys. The potential challenges you might face when conducting a survey in practice. How this assignment has influenced your understanding of data collection and research methods. Depth of Research (20%): Quality and relevance of the sources identified. Understanding of Survey Principles (20%): Clarity and depth of analysis in discussing survey design components. Practical Application (30%): Creativity and appropriateness in designing a survey and explaining the rationale. Reflection (30%): Insightful and thoughtful reflection on survey design challenges and lessons learned. This assignment encourages students to engage deeply with the principles of survey design, balance theory with practice, and apply what they learn in designing an effective survey. The structure of the assignment helps students develop critical skills in research, analysis, and practical application.

Something you should know:

Evidence that you will pose the question

Read the links carefully and use the material to answer the question

Screencapture to create your own table

Understand the reading and communicate

Start with an intro not too long, restate the question, why is this an important question, explain what the essay will talk about

Then follow what ur intro said, my essay first examine this…

Be straightforward

Brief conclusion

2-3 tables or charts, but have to cite it, like this is from here

Citation with author’s name and date

Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the spreadsheet (both found in the Supporting Materials section) for your statistical analysis.

Note: Present your data in a clearly labeled table and using clearly labeled graphs.

Specifically, include the following in your report:

Introduction

1. Describe the report: Give a brief description of the purpose of your report.
2. Define the question your report is trying to answer.
3. Explain when using linear regression is most appropriate.
4. When using linear regression, what would you expect the scatterplot to look like?
5. Explain the difference between predictor (x) and response (y) variables in a linear regression to justify the selection of variables.

Data Collection

1. Sampling the data: Select a random sample of 50 houses. Describe how you obtained your sample data (provide Excel formulas as appropriate).
2. Identify your predictor and response variables.
3. Scatterplot: Create a scatterplot of your predictor and response variables to ensure they are appropriate for developing a linear model.

Data Analysis

1. Histogram: Create a histogram for each of the two variables.
2. Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
3. Interpret the graphs and statistics:
4. Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for house sales and square footage.
5. Compare and contrast the center, shape, spread, and any unusual characteristic for your sample of house sales with the national population (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Determine whether your sample is representative of national housing market sales.

Develop Your Regression Model

1. Scatterplot: Provide a scatterplot of the variables with a line of best fit and regression equation.
2. Based on your scatterplot, explain if a regression model is appropriate.
3. Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
4. Identify any possible outliers or influential points and discuss their effect on the correlation.
5. Discuss keeping or removing outlier data points and what impact your decision would have on your model.
6. Calculate r: Calculate the correlation coefficient (r).
7. Explain how the r value you calculated supports what you noticed in your scatterplot.

Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.

1. Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
2. Interpret regression equation: Interpret the slope and intercept in context. For example, answer the questions: what does the slope represent in this situation? What does the intercept represent? Revisit the Scenario above.
3. Strength of the equation: Provide and interpret R-squared.
4. Determine the strength of the linear regression equation you developed.
5. Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the assumed square footage of your home at 1500 square feet.

Conclusions

1. Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
2. Did you see the results you expected, or was anything different from your expectations or experiences?
3. What changes could support different results, or help to solve a different problem?
4. Provide at least one question that would be interesting for follow-up research.

CJ 675 Module One Journal Guidelines and Rubric

Overview

In this assignment, you will consider how you would approach decision making within a criminal justice agency. To complete this assignment, you must first complete the assigned textbook reading for this module.

Prompt

Imagine that your supervisor approaches you and asks you to explain why there has been an increase in community complaints about your criminal justice agency and what can be done to reduce the number of complaints being received.

Prepare a journal assignment that thoroughly addresses the following.

• What are the differences between qualitative and quantitative research methods?
• How would you analyze the problem (qualitatively and quantitatively)
• Justify your selection of an individual method found within qualitative or quantitative research that you would use to obtain data to address the issue.
• Provide a reasonable solution based on analysis.