How to Read TEA's STAAR Item Analysis Reports and Actually Use the Data

TestPrepGrow ·

The STAAR scores come back in the summer, and by fall you're standing in a team meeting staring at a printout of item analysis data. It's got columns you don't recognize, percentage breakdowns by TEKS, a state average column, and more information than you know what to do with. Usually what happens: you identify your two lowest TEKS, put them on the board, and go back to unpacking the new unit. The data sits in a folder until the next meeting.

That's not a criticism — it's what happens when teachers aren't trained to read item analysis reports and given protected time to act on them. TEA's STAAR item analysis data is one of the most specific diagnostic tools available to Texas teachers, and most campuses use about 20% of what it offers. Here's how to actually read it and what to do with what you find.

Where to Find the Item Analysis Reports

After STAAR results are released, campus and district administrators can access detailed item analysis reports through the TEA portal. If you don't have direct access, your instructional coach, department chair, or testing coordinator can pull the report for your subject and grade level. Ask for the campus-level report, not just the individual student score report — that's where the TEKS-specific data lives.

Some districts compile this data into a simplified spreadsheet and share it at a PLC meeting. If yours does this, great — but ask to see the original TEA report too. The simplified version sometimes strips out the comparison data that makes the item analysis worth reading in the first place.

Action step: Email your testing coordinator this week and ask for the campus-level item analysis report from last spring's STAAR for your subject and grade. If you've never seen it before, now is the right time to start.

What the Report Actually Shows You

The item analysis report tells you, for each question on the STAAR test:

That last piece — the distractor data — is the most underused part of the report. It tells you not just that your students missed a question, but which wrong answer they picked. That's a direct window into the misconception driving the error.

If 40% of your students missed Question 14 and 35% of them picked answer choice C, the next question is: what does C represent? Usually it represents a specific procedural error or a conceptual misunderstanding. If you can identify what thinking led a student to C, you know exactly what to reteach — not the whole TEKS, but the specific part of it that's broken.

Action step: Pull the released version of the STAAR test from TEA and find the three questions where your campus had the largest gap below the state average. Look at the distractor data. Write down which wrong answer was most popular for each. Then ask yourself: what would a student have to believe to pick that answer?

How to Use the State Comparison Column

The state average column is there for a reason: it tells you whether a question was hard for everyone or specifically hard for your students. These are different situations that call for different responses.

If your campus scored 45% correct on a question and the state average is 44%: that question was hard for everyone. The TEKS it covers is challenging across Texas, which probably means the concept is genuinely difficult or the question was written in an unfamiliar way. You don't necessarily have an instruction problem — you have a curriculum design opportunity for next year.

If your campus scored 45% correct on a question and the state average is 68%: that's a 23-point gap. That's a flag. Something about how that TEKS was taught (or not taught) on your campus led to significantly lower performance than the norm. That's where your reteach energy should go.

The goal isn't to beat the state average. The goal is to identify where your instruction produced significantly different outcomes than the norm — either better (to understand what you did right) or worse (to understand what to change).

Action step: Sort your item analysis report by the difference between your campus percentage and the state percentage, largest gap first. The bottom ten items on that sorted list are your highest-priority reteach targets. These are the TEKS where something systemic happened — not just a hard test day, but an instruction gap that affected most of your students the same way.

The Trap: Reteaching What You're Most Comfortable With

Here's the most common mistake teachers make with item analysis data: they look at the list of low-scoring TEKS and gravitate toward the ones they feel most confident teaching. It makes sense — if you're more comfortable teaching fractions than data analysis, you'll naturally spend more reteach time on fractions.

But the data doesn't care about your comfort zone. If your students scored 38% on a data analysis TEKS and 52% on a fractions TEKS, data analysis is the priority — even if fractions is the unit you know best. Reteaching your strong content gives diminishing returns. Reteaching your gap content is where improvement actually happens.

The same trap applies when the state average is low. Teachers sometimes say "well, everyone missed it, so at least we're not behind." But if the state average is low because that TEKS is taught poorly statewide, your students still need it. They're competing against themselves and their own readiness, not just against the state average.

Action step: Have someone else on your team select your three highest-priority reteach TEKS based only on the data — not based on which ones you feel best equipped to teach. Compare their list to the one you would have chosen. If they differ significantly, that's important information about where your blind spots are.

How to Use Item Analysis in Your PLC

Item analysis data is most powerful when a team looks at it together, because one teacher's interpretation of a distractor pattern is less reliable than three teachers' combined interpretation. PLCs that use item analysis well do a few things consistently:

Action step: At your next PLC meeting, bring three released STAAR items for the three lowest-scoring TEKS on your campus item analysis. Work through each item together as if you were students. Then ask: what would a student have to misunderstand to get this wrong? That question will produce more useful reteach planning than any general discussion of the data.

What to Do When You Have No Time

Realistically, in the middle of a school year with a full pacing guide to cover, you can't do deep dives on every underperforming TEKS. You have to make choices. A simple framework:

  1. High-frequency TEKS with a large campus-vs-state gap: top priority for targeted reteach
  2. High-frequency TEKS with a small campus-vs-state gap: embed in spiral review
  3. Low-frequency TEKS, any gap size: brief touchpoints in bell ringers, not standalone reteach lessons

"High-frequency" means the TEKS appears on multiple questions or carries more weight in the reporting category. You can gauge this from the blueprint — some TEKS appear once, others appear three or four times in different contexts. Put your limited time where the test puts its weight.

For teachers who want a bank of STAAR-aligned items already sorted by TEKS and difficulty level, the TestPrepGrow STAAR content library makes it straightforward to pull targeted practice for exactly the TEKS your item analysis flags.

The Bottom Line

Item analysis data won't tell you everything about why your students struggled. But it will tell you more than any other single source. Learn to read it, build time into your team schedule to look at it together, and let it drive your reteach decisions instead of your instincts.

Your instincts are informed by what you've taught. The data is informed by what your students actually learned — and those aren't always the same thing. The gap between those two is exactly where item analysis lives, and closing it is the whole point.