Category: Research methods

• Problem statement on Examining the effects of competency-based assessment on measuring student learning and achievement in tertiary education

Preliminary Information

Classification and Regression Trees (CART) are a machine learning algorithm that builds decision trees for classification and regression by splitting data based on feature values. A classification tree sorts data into categories. A regression tree predicts continuous values by splitting data based on feature values. A classification tree is a structural mapping of binary decisions that lead to a decision about the class (interpretation) of an object. Although many data analysts will simply call it a decision tree, it is more appropriately a type of decision tree that will lead the analyst to categorical decisions. A regression tree is a predictive model that utilizes one or more input variables and a single output variable that leads an analyst to make predictions. The output variable is numerical, whereas the input variables can be a mix of categorical and continuous variables. Regression trees are a type of decision tree that generally predicts numerical outcomes instead of classifications. Please complete this assignment by addressing the following questions.

Instructions

In a MS Word document, address each of the following:

1. Discuss the utilization of Python from the lab assignment and what you learned from the experience. (Minimum of 50 words, worth 10 points)
2. Interpret information resulting from CART analysis you completed in your two lab assignments. (Minimum of 50 words, worth 10 points).
3. Research on the internet and find one decision tree. Paste the tree result on your Word document with a reference as to where you found the tree. Then, interpret the information based on your analysis of the tree you located. (Minimum of 75 words, worth 15 points)
4. Finally, explain the limitations of CART analysis. Discuss how you can adjust for such limitations. (Minimum 75 words, worth 15 points)
5. Submit your assignment in a MS Word document.

Preliminary Information

Classification and Regression Trees (CART) are a machine learning algorithm that builds decision trees for classification and regression by splitting data based on feature values. A classification tree sorts data into categories. A regression tree predicts continuous values by splitting data based on feature values. A classification tree is a structural mapping of binary decisions that lead to a decision about the class (interpretation) of an object. Although many data analysts will simply call it a decision tree, it is more appropriately a type of decision tree that will lead the analyst to categorical decisions. A regression tree is a predictive model that utilizes one or more input variables and a single output variable that leads an analyst to make predictions. The output variable is numerical, whereas the input variables can be a mix of categorical and continuous variables. Regression trees are a type of decision tree that generally predicts numerical outcomes instead of classifications. Please complete this assignment by addressing the following questions.

Instructions

In a MS Word document, address each of the following:

1. Discuss the utilization of Python from the lab assignment and what you learned from the experience. (Minimum of 50 words, worth 10 points)
2. Interpret information resulting from CART analysis you completed in your two lab assignments. (Minimum of 50 words, worth 10 points).
3. Research on the internet and find one decision tree. Paste the tree result on your Word document with a reference as to where you found the tree. Then, interpret the information based on your analysis of the tree you located. (Minimum of 75 words, worth 15 points)
4. Finally, explain the limitations of CART analysis. Discuss how you can adjust for such limitations. (Minimum 75 words, worth 15 points)
5. Submit your assignment in a MS Word document.

In a reflection of 250-500 words, reflect on the following prompt. Please upload your response in a Word document and use APA citations (7th ed.) if your reflection includes references, which it likely will. Be sure to follow the format guidelines for submitted work outlined in our

.

Discuss the process of how a researcher plans an interview space, scheduling an interview, and determining the length of an interview. What would you find the most difficult about setting up the interview? Are there any specifics about your proposed topic of study that you would need to consider when setting up an interview?

You can utilize the text “Qualitative Research Analyzing Life 2nd edition” by Johnny Saldana and Matt Omasta from order #10248790

2.1. Midterm. Part 1: Evaluation design paper For this assignment, you will describe the program, determine the scope of evaluation, and lay out an evaluation plan. Describing a program will include background of the program, the scope of the program (e.g., targeted clients, geographic area, and so forth), and how the program is supposed to work (the program theory) including the theory of change diagram. The scope of evaluation will include the current state of the program (including issues and challenges), systematic review/synthesis of past evaluation studies and findings, legal mandates for performance audit, purpose of evaluation, and key impact evaluation questions to be addressed. The impact evaluation questions should align the logical framework of the program. Evaluation synthesis is a systematic review of the state of evaluation studies on a specific program or on a specific aspect of a program. It involves gathering evaluation studies and reports performed by different evaluators at different times and then reviewing them systematically to take stock of the existing evaluation findings relating to the goal (outcome) for which the policy or the program was introduced in the first place. Evaluation synthesis helps determine the effectiveness of a policy/program and come up with new evaluation research questions. Next, you will identify the impacts, determine indicators of impacts, and propose an evaluation design to assess the impact. You will also identify the data needs for the indicators of impacts, and how the data will be collected (data collection plan/strategies). It should show which data will address which evaluation questions. Length of the paper: 14 to 15 pages with standard 1-inch margin, double spaced, and 12-point font. It should use Chicago-style author-date citation for in-text citations and for references at the end of the paper. The cover page, appendices, and list of references are outside the page limit.

2.1. Midterm. Part 1: Evaluation design paper For this assignment, you will describe the program, determine the scope of evaluation, and lay out an evaluation plan. Describing a program will include background of the program, the scope of the program (e.g., targeted clients, geographic area, and so forth), and how the program is supposed to work (the program theory) including the theory of change diagram. The scope of evaluation will include the current state of the program (including issues and challenges), systematic review/synthesis of past evaluation studies and findings, legal mandates for performance audit, purpose of evaluation, and key impact evaluation questions to be addressed. The impact evaluation questions should align the logical framework of the program. Evaluation synthesis is a systematic review of the state of evaluation studies on a specific program or on a specific aspect of a program. It involves gathering evaluation studies and reports performed by different evaluators at different times and then reviewing them systematically to take stock of the existing evaluation findings relating to the goal (outcome) for which the policy or the program was introduced in the first place. Evaluation synthesis helps determine the effectiveness of a policy/program and come up with new evaluation research questions. Next, you will identify the impacts, determine indicators of impacts, and propose an evaluation design to assess the impact. You will also identify the data needs for the indicators of impacts, and how the data will be collected (data collection plan/strategies). It should show which data will address which evaluation questions. Length of the paper: 14 to 15 pages with standard 1-inch margin, double spaced, and 12-point font. It should use Chicago-style author-date citation for in-text citations and for references at the end of the paper. The cover page, appendices, and list of references are outside the page limit.

Please find one qualitative article from 2021-2026

• Write your PICOT question. Discuss the qualitative nature and purpose of the study you have chosen. How do you know this is a qualitative study? What type of qualitative study is it? What is the purpose of the study?
• Discuss the method of the study. How did the researchers collect the data? Is this method adequate to address the purpose of the study? What is the sample in the study, and is it appropriate, given the method?
• Summarize the findings of the study. What is the projected significance of the study to nursing? What are the recommendations for future study?
• References: Provide complete references for all citations. Include citations and a reference for the qualitative study you selected to address your PICOT question.

Please find one qualitative article from 2021-2026

• Write your PICOT question. Discuss the qualitative nature and purpose of the study you have chosen. How do you know this is a qualitative study? What type of qualitative study is it? What is the purpose of the study?
• Discuss the method of the study. How did the researchers collect the data? Is this method adequate to address the purpose of the study? What is the sample in the study, and is it appropriate, given the method?
• Summarize the findings of the study. What is the projected significance of the study to nursing? What are the recommendations for future study?
• References: Provide complete references for all citations. Include citations and a reference for the qualitative study you selected to address your PICOT question.

Instructions

For this assignment, you will use data from the table below to calculate murder rates for five cities in the US. For information on how to calculate crime rates as well as the formula to use, please visit the .

1. Using the information from the table above, calculate the murder rates (per 100,000) for each of the five cities (round up to 2 decimal places for each rate. For example, 50.23).

• Copy the table into a Word doc and add a column that is titled Murder Rate (see example above). Then enter the murder rate for each city.

1. Which is the city with the lowest murder rate?
2. Which is the city with the highest murder rate?
3. Were you surprised by these results? Why or why not? Explain your answer.

Note – Please include the questions and the table above in addition to your responses within a Word doc. I will deduct 5 points from your assignment if the questions are missing and an additional 5 points if the table is not included.

Grading

All assignments must go through Turnitin in for plagiarism and AI usage detection. The questions will be flagged for similarity and therefore only responses will be reviewed for similarity. The usage of AI to complete any assignment for this course is strictly prohibited. Any suspected academic misconduct violations will be reported to the Office of Student Conduct and Academic Integrity (SCAI).

Assignments will be graded using the rubric below.

Rubric

Crime Rates Assignment

Crime Rates Assignment

CriteriaRatingsPtsThis criterion is linked to a Learning Outcome

Table

City 1

10 pts

Excellent

Murder rate is correct

0 pts

Poor

Murder rate is incorrect or missing

10 pts

This criterion is linked to a Learning Outcome

Table

City 2

10 pts

Excellent

Murder rate is correct

0 pts

Poor

Murder rate is incorrect or missing

10 pts

This criterion is linked to a Learning Outcome

Table

City 3

10 pts

Excellent

Murder rate is correct

0 pts

Poor

Murder rate is incorrect or missing

10 pts

This criterion is linked to a Learning Outcome

Table

City 4

10 pts

Excellent

Murder rate is correct

0 pts

Poor

Murder rate is incorrect or missing

10 pts

This criterion is linked to a Learning Outcome

Table

City 5

10 pts

Excellent

Murder rate is correct

0 pts

Poor

Murder rate is incorrect or missing

10 pts

This criterion is linked to a Learning Outcome

Lowest Murder Rate

2. Which is the city with the lowest murder rate?

15 pts

Excellent

City with the lowest murder rate has been identified correctly

0 pts

Poor

City with the lowest murder is incorrect or missing

15 pts

This criterion is linked to a Learning Outcome

Highest Murder Rate

3. Which is the city with the highest murder rate?

15 pts

Excellent

City with the highest murder rate has been identified correctly

0 pts

Poor

City with the highest murder is incorrect or missing

15 pts

This criterion is linked to a Learning Outcome

Analysis of Results

4. Were you surprised by these results? Why or why not? Explain your answer.

20 pts

Excellent

Response is detailed and includes a thorough explanation

15 pts

Good

Response is provided but the explanation is not thorough and does not include any analysis

10 pts

Fair

Response is not detailed or thorough and is lacking in clarity

0 pts

Poor

Response is incomprehensible or missing

20 pts

Total Points: 100

Explain what conceptualization is, and explain what operationalization is. (related chapters are 1 and 2, but chapter 5 also include these concepts) Q2. In addition, explain the differences between operationalization (operational definitions) and conceptualization (conceptual definitions). Reflect on how conceptualization differs from operationalization. Students should use their own words rather than copying from the textbook.