heightened criticality within quantitative methods, those who develop CQL are poised to thoughtfully use quantitative methods to tell counter-stories and propose more equity-oriented policies
yes
heightened criticality within quantitative methods, those who develop CQL are poised to thoughtfully use quantitative methods to tell counter-stories and propose more equity-oriented policies
yes
Developing CQL in quantitative education informs learners so that injustices are recognized and can be better avoided in the future
yes
CQL encourages one to ask why this method is being used, whether an appropriate alternative exists, pre-cisely what is conveyed by this method, and how the results of this method map onto the substantive research questions
Great questions to guide us
move away from the pre-sumed clarity and objectivity of the numbers, situating them instead in the ambiguous, subjective context of their assump-tions and mapping them to more substantive research ques-tions
I appreciate this
the jingle-jangle fal-lacy
That's academic
how these methods function (i.e., the internal mathe-matics), and how inattention to either of these affects social justice when interpreting the findings
important to remember when working with all data!
Likert scales, these measures provide crude quantification of socially complicated phenomena
Guessing there will be elaboration on a better way to quantify socially complicated phenomena?
Baez argued that critical research is inherently political and that critical scholars must consider the privilege and authority that their words carry in their capacity to liberate and to oppress.
we're all still working on this!
the misconception that quantitative studies are objective and that author positionality plays no role
I love this
introducing and defining critical quantitative literacy
Looking forward to this new creative name
CritQuant (critical quantitative studies) and QuantCrit (quantitative critical race theory;
Was it not possible to come up with different names??
Data cannot speak for itself
Funny how often we hear the opposite: "The data speaks for itself."
Black or Hispanic students were far less likely than White students to display advanced science achievement in kindergarten
We've got a lot of kinders displaying advanced science achievement?
The reading achievement measure was designed to assess basic reading skills (e.g., print familiarity), vocabulary, and reading comprehensio
Also interesting that kinders would be included in this as they are just beginning to develop basic reading skills and vocabulary!
Parental warmth (α= .65) was a measure of four items asking the parent to self-assess their relationship with their child through showing love, expressing affection, spending close time together, and child-parent closeness.
This seems vague - self-assess your relationship with you child through showing love?
plies, "If you come to school not reading you get treated as if you have no right to be in s
If you come to school not reading ENGLISH
we can still walk into schools and hear the following explanations for poor students' of color school failure: • The parents just don't care • These children don't have enough exposure/experiences • These children aren't ready for school • Their families don't value education • They are coming from a "culture of p
This is also said about our multilingual students
The wealth gap is also not discussed. Over the last 7 years, the number of children living in poverty in the U.S. has grown by 1 1.3% to approach 13 millio
And based on the increased demand of foodbanks right now, I would guess that number is even higher
why are children in suburban schools worth, on average, $10,000 more than children in urban schools
Because of our system for funding schools based on property taxes
It comes to us as if the students are not doing their part.
Why are we not looking at how the schools and biased teachers are "not doing their part"?
Wider use of quantitative data could uncover other inequities deserving of attention
Some of this data was already readily available - but people have to look at it, understand it, question it in order for it to be useful
stu-dents were systematically denied special education services
This happens a lot with our Multilingual students
This is the basis of our legalsystem. We are judged by what we do, not by who we are
If only this were true...
data scientists all too often lose sight of the folkson the receiving end of the transaction
Reminds me of the biases people hold - they're so focused on debating to prove they are right that they forget they are fighting with and against PEOPLE
But you cannot appeal to a WMD. That’s part of their fearsome power.They do not listen. Nor do they bend. They’re deaf not only to charm,threats, and cajoling but also to logic—even when there is good reason toquestion the data that feeds their conclusions
It's incredible that so few people question information - data should always be reviewed by those using it. If the administrators were regularly in classrooms, they would know their teachers and the work they are doing instead of taking data at face value.
one that seeks to include rather than exclude
I love this
our cars could be outfitted with butt-scanners instead of keys or car alarms to identify the driver
What an awful thought
reducing richly lived lives to numbers and names
Such an important point to keep in mind when doing research involving people