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Week 15: wrapping up; WHICH TRAIN are you on?

Good morning

I will talk about Friday's Eli Review task where I will post TWO DIFFERENT LINKS where you begin your 

  • Train Ride to Atlanta, planning to wrap up between the last day of class and the first weekend of finals
  • Train Ride to Boulder, planning to wrap up after the first weekend and before/on the last day of finals.

Ok, craft lessons, re Theme and Variations, you have seen before!

BEGINNING with Definitions.  You can consider bullets.  These work well when the concepts are closely related. For example,

Let's review PCR types before we look at Guerro's modifications in her study:  

  1. Polymer chain reaction (PCR) tests for....
  2. Quantitative PCR (qPRC)...
  3. Pyro sequencing ....

The treatment studies for Patel's rice productivity work examine subtle soil pH variability in spring crops typical of terraced fields in SE Asia.  The soil categories, based on surveys of Thailand posted at the UN FAO (Food and Agriculture Organization) data base:

podulized categories 3-8: blah blah....

spodosoil category 6:  blah blah....

hydropodosoils (two)  designed for this experiment but based on FAO emerging research linked here.

More complex definitions might need their own paragraphs. Consider defining what a highly conserved gene is and how that work helps scientists use animals for human disease. Do not forget the idea of bolds, here. However, we can also use nested definitions. Example from my work-->

In my work with farmers and nitrogen scientists, i need to define Q method, which tests subjectivity rather than objectively.  Farmers get this but scientists tend not to. For a short video definition of Q-methods, see this four-minute video and related pages hosted by Q-method expert Tim Deignan. Mb here: curated referal links are an option for your definitions, which are nearly always common knowledge.

Train ATLANTA: Here is our video inspiration from Edward Kennedy, aka Duke, Ellington--> 

We change up this metaphor a bit with the idea that we are traveling to Atlanta, GA, down the East Coast from DC.  A train to Atlanta will arrive at the destination faster than a train to Boulder, CO starting in the same place.

Train BOULDER: Our inspiration now is Emmy Lou Harris-->

Later today, I will send you an ELMS email with dates for both Trains with the associated ER Writing and Reviewing Tasks. And, similarly, I will adjust your ELMS Calendar.

Next up, for craft lesson: Voice to distinguish between researchers work (show cased by you in the body paragraphs) --> USE THIRD PERSON.  Related, in your two analysis tasks (one general; one stats/logos of numbers focused), signal that this is YOU commenting --> USE FIRST PERSON.

Examples you can model after (mentor text is our friend)-->

Postel also sees this genomic study as offering a way to visualize which oncogenes are turned on, likely by environmental factors. (add rest of para)

I see that Postel uses both R-squared and p values to vet some of this genomic analysis.  As a computational biologist, Postel understand the scale-effects of p values that, while low, might be more of an artifact of size rather than a check against randomness.  She speaks about this in a note to Figures 8 and 9, as well as in the analysis section.  I think this means that the R-squared test and associated visuals are a better statistical test for this genomic study.

Pacquin's inference about this study on words that carry emotional import comes from his used of survey instruments from 2018 through 2020.  He excluded 2021 forward in an abundance of caution concerning the pandemic context, which might skew results to the negative.  He ganged three surveys together -- all used same questions -- to test five words......

Survey analysis relies on t-tests and calculation of a critical value. I agree with Pcquin that the one-tailed sample t-test is correct because the identical surveys are ganged together. This test looks at whether the mean (aka average) of data from one group (in this case the differences in identified emotional content) is different from the critical value.  I also noticed that he included within supplementary tables all the ways the five words differed in survey responses by age (quintiles), gender (two variables), and self identified liberalism or conservatism (two variables). The math here involved permutations to yield desired sub categories.  Pacquin discussed primarily.....However, I would be interested in the Q categories and plan to study those datasets more closely.

  • Lemon and Pear flow chart, aka the Theme+Variations visual

Newish: text-based guidance/checklist, I have references before(long Google doc but worthy!) But first, let's think about new language for our body points in the document middle.  I give you 

 

Posted on Monday, April 29, 2024 at 06:15AM by Registered CommenterMarybeth Shea | Comments Off