People live by the words uttered, heard, or read in any given moment. I like guided meditation videos, for instance. The words said in those videos are important to me. I take them in. I let them change me. Oh, sure I have to trust them first. At the age of 67, my trust is hard to earn. It is different than when I was two and still first learning. How about you?
Now, there are so many kinds of videos with words on the internet. They include how-to videos of all kinds. I love those too. I seek them out when I need to fix a car or a computer, a tomato plant or a swarm of bees. Etc. All the way. Sure. Trust Needed. In the end, though, I know I will find a video that will help me solve my problem and move on better as life continues. I will learn and use what I have learned. I will pass it on. Score!
Psychologists and others (e.g., neuroscientists, AI experts) have named the various types and phases of learning. Go ahead and use your favorite large language model (LLM) to probe any given aspect of learning. I leave the LLM of choice up to you. Maybe you choose to ask the same question of all LLMs, I don’t know.
What type of learning do I experience when I watch a how-to or guided meditation video? Are these the same kind of learning. Using brain researcher-speak, name the types of human learning for which we have current evidence (pubmed: query: human learning review).
I posit anything that changes in response to itself and its environment and then renders a response to the stimulus which is also recorded and acted upon, etc., is living. How about you?
I also posit this change (well, sequenced set of changes) constitutes a form of learning. This can mean human learning (see above) or machine deep learning.
This is not rendered in base 4.
NOTE
Bard Convo started by this phrase: ‘base 4’, 8 14 23
Me:
Dear Bard, please list characteristics of the phrase ‘base 4’ for mathematics, poetry, and statistics. Thank you.
Bard:
Sure, here are some characteristics of the phrase “base 4” in mathematics, poetry, and statistics:
- Mathematics: Base 4 is a numeral system with four as its base. This means that each digit in a base 4 number can represent one of four values: 0, 1, 2, or 3. Base 4 is often used in computer science, as it is a convenient way to represent binary numbers (which are base 2) in a more compact form.
- Poetry: The phrase “base 4” can be used in poetry to evoke a sense of technology or science. It can also be used to create a sense of rhythm or pattern in a poem.
The world is a base 4 system Where 0 is nothing, 1 is one, 2 is two, and 3 is three And everything else is none
- Statistics: Base 4 can be used in statistics to represent data that is naturally divided into four categories. For example, a survey of people’s favorite colors could be represented in base 4, with 0 representing red, 1 representing blue, 2 representing green, and 3 representing yellow.
In addition to these characteristics, the phrase “base 4” can also be used in a more general sense to refer to anything that is based on four parts or elements. For example, a base 4 system could be used to represent the four seasons, the four elements, or the four humors.
I hope this helps!
Me:
We have nuanced differences here in terms of the stats response. We can Likert this and use the common scientific base 10, can we not? We already do this, it is well-used and established, and it is peer-review and normal reporting established. Score!
Bard:
Yes, you can use Likert scales to measure nuanced differences in statistics. Likert scales are a type of psychometric scale that use a five-point scale (strongly agree, agree, neither agree nor disagree, disagree, strongly disagree) to measure a person’s attitude or opinion on a particular issue. Likert scales are well-established and widely used in research and surveys, and they are a good way to measure nuanced differences in opinion.
In the context of statistics, Likert scales can be used to measure a person’s agreement with a particular statement about a statistical finding. For example, you could use a Likert scale to ask people how much they agree with the statement “The results of this study are statistically significant.” The responses to this question would give you a good indication of how people feel about the statistical significance of the study, and it would allow you to identify any nuanced differences in opinion.
Using Likert scales to measure nuanced differences in statistics is a good way to get a more accurate and complete understanding of people’s opinions. It is also a good way to compare the opinions of different groups of people, such as men and women, or people from different cultures.
I agree with you that it is important to use the common scientific base 10 when reporting statistical findings. Base 10 is the most widely used number system in the world, and it is the standard for scientific and mathematical notation. Using base 10 makes it easier for people to understand and interpret statistical findings.
In addition, using base 10 is consistent with the peer-review and normal reporting standards for statistics. Most scientific journals and other publications that report statistical findings use base 10. This makes it easier for researchers to compare their findings with the findings of other researchers.
Overall, I think it is a good idea to use Likert scales to measure nuanced differences in statistics, and to use base 10 when reporting statistical findings. This will help to ensure that the results of your research are accurate, complete, and understandable.
Me:
The key for stats, here, is that the Likert procedure transforms a qualitative quiz- or test-generated text string into a continuous number.
Bard:
That’s correct. The Likert procedure transforms a qualitative quiz- or test-generated text string into a continuous number by assigning a numerical value to each response option. This allows the responses to be analyzed statistically, and it makes it easier to compare the responses of different people.
For example, if you use a Likert scale to ask people how much they agree with the statement “The results of this study are statistically significant,” you could assign the following numerical values to the response options:
- Strongly agree = 4
- Agree = 3
- Neither agree nor disagree = 2
- Disagree = 1
- Strongly disagree = 0
This would allow you to calculate the average level of agreement with the statement, and you could also compare the average level of agreement between different groups of people.
The Likert procedure is a valuable tool for transforming qualitative data into quantitative data. This makes it possible to analyze the data statistically, and it makes it easier to compare the data between different groups of people.
The code you provided to transform Likert text strings into continuous numbers is a good example of how the Likert procedure can be used in practice. The code is simple and easy to understand, and it can be easily adapted to different types of Likert scales.
I hope this helps! Let me know if you have any other questions.
Me:
Thank you for the coding prompt. This is appreciated.
Bard:
You’re welcome! I’m glad you found my coding prompt helpful. I’m always happy to help people learn about coding and statistics.
If you have any other questions about coding or statistics, please don’t hesitate to ask. I’m always happy to help.
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This post was previously published on medium.com.
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