technically speaking
![A photograph of a group of students in a classroom focused on their work, sitting at desks and writing on paper with pencils.](/sites/irrc.education.uiowa.edu/files/styles/widescreen__1024_x_576/public/2023-05/high_school_students_taking_test_blog.png?h=394de864&itok=V-VrZBAP)
Technically Speaking: Determining Test Effectiveness With Item Response Theory
Tuesday, September 22, 2020
Learn more about how statistical modeling can tell us what makes a good literacy assessment item.
![Student holding up an A plus exam](/sites/irrc.education.uiowa.edu/files/styles/widescreen__1024_x_576/public/2023-05/student_holding_up_a_plus_exam_blog.png?h=26153383&itok=nzl3Nhpx)
Technically Speaking: Understanding and Quantifying the Correlation of Two Reading Measures
Tuesday, February 11, 2020
Correlation and its limitations are explained in easy-to-understand language.
![Two women in a school hallway smiling with class materials in their hands](/sites/irrc.education.uiowa.edu/files/styles/widescreen__1024_x_576/public/2023-05/two_women_teachers_in_hallway_blog.png?h=8deb66c9&itok=Acf0IHe2)
Technically Speaking: Why We Use Random Assignment in Reading Research
Tuesday, November 19, 2019
Essential principles of study design lead to causal results showing effects on student outcomes.
![Students standing in a row in classroom and smiling](/sites/irrc.education.uiowa.edu/files/styles/widescreen__1024_x_576/public/2023-05/students_standing_in_row_line_blog.png?h=bb4af2c2&itok=yeFTThUT)
Technically Speaking: Why We Use Random Sampling in Reading Research
Tuesday, November 12, 2019
Essential principles of study design lead to generalizable results for a wide reach of students.