Tag Archives: Data Analysis

#SOL19: What Counts?


What do I read?

Mail, Blogs, Tweets, Chapters . . . and Books

I have always envied those who kept a list and reported out like Regie Routman here, here and here. Currently many are reporting out #BookADay now on Twitter or Facebook. For more information about #BookADay created by Jillian Heise in 2014 go here.

So during the winter break I decided one goal of mine was going to be to “celebrate” my reading in 2019.  And of course that would mean that I had to keep track of it somehow. So being ever mindful of this quote, I’m tracking my reading. (Note the key word: I)

Screenshot 2019-06-05 at 11.37.21 AM.png

William Bruce Cameron

 

We aren’t quite to the midpoint of the year, but here is what my reading life looks like through most of May  . . .

Screenshot 2019-06-05 at 10.07.28 AM

Search for a “balance” with NF labels a la Melissa Stewart

I’ve written about reading goals before here, but I found that round chart didn’t have enough spaces for my book count.  Holding on to one single list has not been helpful. I create stacks of the “done” books and record them every two, or three or four weeks. Based on my records thus far for 2019, I believe that I can confirm that I am a voracious reader.  But are there other ways to display the data as I think of students who want to make sense of their own reading lives.

So again this week, I saw a tweet that caught my eye about reading circle graphs and I replied. And then the learning began when Steve Peterson (@Steve1Peterson) replied with the fact that Excel and Google Sheets could make radar graphs.

And the same data above looks like this.  Fiction = 72, Nonfiction  = 52, Professional  = 50.

Screenshot 2019-06-05 at 10.07.56 AM

This graph is quite interesting.  Having all professional books in one category quickly made it into an outlier in this format.  Five of the 10 remaining categories were in the 20-ish category with four in the single digits and only one category reporting a zero. (Radar chart)

No external pressure other than the public announcement.

No public accountability required.

No summative assessment.

Just recording a snippet from my life . . .

I am Wondering . . .

Is my reading varied enough?  

Varied enough? The good news is that I still have time to have a mid-course correction.  I will purposefully pick up some titles for those four single digit categories.  (And I am already plotting to combine some so that I will have fewer gaps – Yes, manipulating the categories.)

What does not show in this data?

What does concern me is that the data does not show my growth.  This year I have made a conscious effort to read more graphic novels, cartoons, and even narrative prose. Those books are represented in the totals for F and narrative NF but not as separate categories because they are not separate genres.   

What else?

The data also doesn’t share my frustration that tracking my books read over a year is cumbersome.  It’s easy to make a “pile” when reading at home.  But when I’m not there where and when do I record the data?  Do I really only have one list?  NOPE!  I have some post-its with some scribbles, some lists in my Kindle app, and who knows what else!

The lesson here was to give myself grace. My list does NOT have to be perfect.  The data is for me. It’s not a “controlled study” so error is fine.

So my final advice to myself . . .

Take a breath.

Take another breath.

LET IT GO!

NEXT!

Where, why, and when might giving yourself “grace” free up positive energy? 

When could you TRY something without trying it “forever”( so you have room to modify to match the needs)? 

When will you commit to JUST being the best that you can




Thank you, Betsy, Beth, Deb, Kathleen, Kelsey, Lanny, Melanie, and Stacey for this weekly forum from Two Writing Teachers. Check out the writers and readers here.

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#SOL17: Retrospect


Screenshot 2017-12-26 at 5.30.26 AMWhat a year!

There are so many ways to vies the data in WordPress that my head can spin  . . . or I can just look like a bobblehead.  After all, what’s in a number?

Looking back is something of a habit before the New Year begins.  Here were my reflective posts from 2016, 2015, 2014, and 2013.  It was fun to see where the emphasis has changed over time.

My Top 5 Most Viewed Blog Posts of all time are:

5. How do we know students are making progress in writing? (2014)

4.  #DigiLit Sunday:  Critical Thinking (2017)

3.  Generative Writing as a Formative Assessment (2015)

 2.  Lexile Level is NOT Text Complexity (2013)

1. #TCRWP and a Teacher’s Toolkit for Writinf (2014)

Data analysis is interesting.  At first glance it appears that my OLD writing is more popular than my newer writing. Or does the popularity mean that these posts are STILL topics/issues that present day literacy teachers are struggling with?

My data is skewed and incomplete.  Every other year I have reported the top 10 posts.  Narrowing the parameters of my list causes the comparison to fluctuate from previous years.  And even more disconcerting is changing the years . . . what is the difference between “all time” lists and just the “top ten” from this year?  What is the difference between “from” and “for”?

My Top 5 Posts from 2017 are:

5. #DigiLitSunday: “Possible Sentences”

4. #SOLSC17: #OLW Brave

3. Reading Goals: What Do You Measure?

2. #DigiLitSunday: Summer Slide

1. #DigiLitSunday: Critical Thinking

Subtle differences require a discerning reader.

Today “I cherish the oddities”. (Call for slices by Melanie here.)

 

What kind of reader will you be in the future?

What data do you use for valid comparisons?

What data do you wonder about? 

Is all data equal?




Thank you, Betsy, Beth, Deb, Kathleen, Lanny, Melanie, and Stacey for this weekly forum. Check out the writers, readers and teachers here.                                                                                                      slice of life 2016

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