M02-In-depth Literate Programming

1 Essay Prompt Responses

1.1 Summary of Lecture

1. Summarize the instructor’s lecture about Quarto that you found impressive. Do you see yourself using Quarto every day for your job or study, like taking notes in your class or preparing a presentation? More eye-catching effects will be introduced in later modules.

From watching the instructor lecture, some things I found interesting about Quarto is the similarities between this application and R. Working with these two applications, I noticed how R is still incorporated in Quarto such as the code chunks and you are able to open Quarto directly with R Studio. I do think that Quarto is more organized in terms of layout, cross-referencing, and formatting tools which are readily available, compared to R where you would need to open different packages. I also think Quarto is similar to working with a Word Document and the ease for collaborations with others.

Personally, I do not see myself working Quarto for study just because I take physical notes (allows for better memorization for myself) and work with other applications for presentations (Slides/ Canva where there are more readily available themes). I may use Quarto for creating study guides due to it’s organization ease. I also don’t see myself working with this for my jobs since my job utilizes email and event applications. However, I do find this application very resourceful.

1.2 Summary of Quarto’s Capabilities Video

2. Summary the video from Posit about Quarto’s capabilities.

From watching the Quarto’s capabilities video, I learned about the basic run down and functions of working with Quarto. The workshop reviewed functions that were mentioned in the instructor lecture video such as headings, formatting, footnotes, creating tables, diagrams, and such much more. It seems that Quarto has more capabilites for making visually appealing reports and presentations. Tom also discusses how Quarto’s battery is included, meaning there is shared syntax. This makes the document more accesible to those using a different language.

The most interesting topic was being able to add images to the Quarto Document. I think this is such a fun tool to utilize to make documents more visually appealing.

So Cool!

1.3 Past Assignment

3. Choose a previous class assignment where you had to write a couple of pages. Copy it into Quarto and style it to make it nice. (Past Study Guide)

Chapter 3: Research Study Design

Surveying

• Research Design: Framework or blueprint for conducting the marketing research project Exploratory Research: One type of research design, which has as its primary objective the provision of insights into and comprehension of the problem situation confronting the researcher

• Conclusive Research: Research designed to assist the decision maker in determining, evaluating, and selecting the best course of action to take in a given situation - Descriptive (includes cross-sectional or longitudinal data) - Causal

Note

Which of the above research designs allow you to conduct controlled experiments? Causal

Note

Which one is ill-suited for making product and pricing related decisions? Descriptive

Note

If you are hired to research what name would be best for a newly launched airline, what research design would you recommend? Exploratory

• Types of Research Designs

	Exploratory	Descriptive	Causal
Objectives	Discovery of ideas and insights	Describe market characteristics or functions	Determine Cause-and-Effect relationships
Characteristics	Flexible, versatile Often the front end of total research design	Marked by the prior formulation of specific hypotheses Pre-planned and structure design	Manipulation of one or more independent variables Measure of the effect on dependent variables(s) Control of other mediating variables
Methods	Expert Surveys Pilot Surveys Case Studies Secondary Research: Qualitative Analysis Qualitative Research	Secondary Data: Quantitative Analysis Surveys Panels Observation & other data	Experiments

• Benefits of Cross-Sectional & Longitudinal Data

  Cross-Sectional Data

  Longitudinal Data

  A type of research design involving the collection of information from any given sample of population elements only once Single cross-sectional design: A type of research design involving the collection of information from any given sample of population elements only once Multiple cross-sectional design: A type of research design involving the collection of information from any given sample of population elements only once Cohort Analysis: A type of research design involving the collection of information from any given sample of population elements only once

  A type of research design involving a fixed sample of population elements that is measured repeatedly The sample remains the same over time, thus providing a series of pictures that, when viewed together, portrays a vivid illustration of the situation and the changes that are taking place over time Panel: A sample of respondents who have agreed to provide information at specified intervals over an extended period

  Evaluation Criteria	Cross-Sectional	Longitudinal
  Detecting change	Negative	Positive
  Large amount of data collected	Negative	Positive
  Accuracy	Negative	Positive
  Representative Design	Positive	Negative
  Response Bias	Positive	Negative

Note

Regression techniques fall under descriptive research. Yet, people use regression to predict. Is that not suggesting a cause-and-effect analysis? Is someone incorrect in not using causal research (such as experiments) instead of regression? Regression is perfect for prediction, but prediction is not the same as cause-effect

Note

How to minimize non-sampling error? What stages of research design do you have to strengthen in order to minimize non-sampling error? writing good questions (easier wording, offering incentives, etc.)

Random Sampling Error: The error due to the particular sample selected being an imperfect representation of the population of interest. It may be defined as the variation between the true mean value for the sample and the true mean value of the population

Non-Sampling Error: Error that can be attributed to sources other than sampling, and it can be random or nonrandom

Market Research Proposal: Contains the essence of the project and serves as a contract between the researcher and management; Covers all phases of the market research process + cost, time, & estimate of project completion

Chapter 4: Secondary Data

Data

Primary vs. Secondary Data

Primary	Secondary
Data originated by the researcher for the specific purpose of addressing the research problem Typically collected by surveys, observations, and controlled experiments Involves all 6 steps of the marketing research process	Data collected for some purpose other than the problem at hand Typical sources are census data, commercial vendor data, annual reports, etc
	Advantages
	Identify & better define the problem Provide context to the problem Help identify key variables (factors) Provide a guide to evaluate results from secondary data Can be quickly and often inexpensively
	Disadvantages
	May not closely fit the problem Often outdated Accuracy depends on who collected the data Data collection method used may not apply Some secondary data is too expensive

Important

How do you evaluate is a particular secondary data set is reliable and fit for use in marketing research?

Specifications: Methodology Used to Collect the

Data Error: Accuracy of the Data Currency: When the Data Were Collected 

Objective(s): The Purpose for Which the Data Were Collected

Nature: The Content of the Data

Dependability: Overall, How Dependable Are the Data?

1.4 Publishing

4. Publish this assignment document in an HTML file to Quarto Pub.