---
title: "Quasi-Experimental Design in Curriculum Development"
description: "Quasi-experimental design tests a curriculum intervention without random assignment, helping Curriculum Development students judge real classroom impact and limits."
canonical: "https://fiveable.me/curriculum-development/key-terms/quasi-experimental-design"
type: "key-term"
subject: "Curriculum Development"
unit: "Unit 9"
---

# Quasi-Experimental Design in Curriculum Development

## Definition

Quasi-experimental design is a way to study a curriculum change or teaching intervention without randomly assigning learners to groups. In Curriculum Development, it is often used to compare existing classes, programs, or schools in realistic settings.

## What It Is

Quasi-experimental design is a research approach Curriculum Development uses when you want to test whether a curriculum change, lesson sequence, or technology tool makes a difference, but you cannot randomly assign learners to groups. Instead of creating fully random treatment and control groups, you compare existing groups, use pretests and posttests, or track changes before and after an intervention.

That matters in education because many curriculum decisions happen in real settings that already exist. You might be evaluating one grade-level team’s new digital reading platform, a school-wide homework policy, or an assistive technology pilot in a special education classroom. You usually cannot reshuffle students into neat experimental groups, so quasi-experimental design gives you a practical way to collect evidence anyway.

The tradeoff is that the results are harder to interpret than in a true experiment. If one class scores higher after a new program, the cause might be the program, but it might also be the teacher, the class makeup, prior achievement, scheduling, or school resources. That is why quasi-experiments often use matching, comparison groups, or statistical controls to reduce obvious differences between groups.

A common version is the non-equivalent control group design. For example, one existing class uses a new interactive math curriculum while another similar class keeps the old one, and both take a pretest and posttest. Another version is interrupted time series design, where you look at outcomes across several time points before and after a new curriculum is introduced. If reading scores suddenly shift after the change and the pattern stays different, that can suggest the intervention mattered.

In Curriculum Development, quasi-experimental design is especially useful for technology-enhanced learning experiences because those are often rolled out in whole classrooms, grade levels, or schools. You are not just asking whether a tool exists, you are asking whether it improves learning in a real setting with real constraints.

## Why It Matters

Quasi-experimental design shows up in Curriculum Development whenever you need evidence about whether a curriculum choice actually works in practice. A unit plan, digital platform, accessibility tool, or instructional model can sound effective on paper, but curriculum designers still need to see how it affects performance, engagement, or participation in a classroom.

This term also connects directly to decision-making. If a school is choosing between two reading interventions, a quasi-experimental study can help compare outcomes without waiting for a perfect lab-style setup. That makes it a useful bridge between theory and implementation, which is a big part of curriculum work.

It also trains you to read evidence carefully. A curriculum report may claim that test scores improved after a new program, but quasi-experimental methods force you to ask whether the groups were already different, whether there was a pretest, and whether another change happened at the same time. That habit is useful when you evaluate claims about technology integration, differentiated instruction, or accessibility supports.

In short, the term matters because curriculum decisions usually happen in messy, real-world settings. Quasi-experimental design gives you a realistic way to study those settings without pretending every classroom can be controlled like a lab.

## Connections

### Control Group

A control group gives you a comparison point, which is the whole reason quasi-experimental studies can say anything about change. In Curriculum Development, the comparison group is often an existing class or program rather than a randomly assigned group. That makes the findings more practical, but also more vulnerable to differences that were already there before the intervention.

### Internal Validity

Internal validity is where quasi-experimental design gets tricky. Because the groups are not randomly assigned, you have to think about confounding variables like teacher experience, class size, or prior achievement. Curriculum Development students often look at whether the evidence is strong enough to support the claim that the curriculum change, not something else, caused the outcome.

### Pretest-Posttest Design

Pretest-posttest setups are common in quasi-experimental work because they show change over time. In a curriculum project, you might measure student writing before and after a new feedback routine or digital tool. The pretest gives you a baseline, which makes the posttest easier to interpret than a one-time score.

### [SAMR Model](/curriculum-development/key-terms/samr-model)

The SAMR Model is about how technology changes learning tasks, while quasi-experimental design is about whether that change makes a measurable difference. If a curriculum team adopts a new app at the modification or redefinition level, a quasi-experiment can help evaluate whether the redesign actually improves learning outcomes or just looks more modern.

## On the AP Exam

A quiz question might describe two existing classrooms, one using a new curriculum and one not, and ask you to identify the design as quasi-experimental because there was no random assignment. In a case analysis, you may need to explain the likely weakness in internal validity and point to possible confounds, such as different teachers or different starting skill levels.

If your class writes a proposal for a technology-enhanced unit, you could be asked how you would evaluate it. A strong answer would mention a comparison group, a pretest and posttest, or data collected before and after implementation. When you see graphs or tables in a curriculum report, look for patterns that suggest change over time, then explain what the design can and cannot prove.

## quasi-experimental design vs Control Group

A control group is one part of a study design, while quasi-experimental design is the overall research setup. You can have a quasi-experiment that uses a comparison group, but the study is still quasi-experimental if participants were not randomly assigned. In other words, the control group is the comparison, and the design is the whole method.

## Key Takeaways

- Quasi-experimental design studies the effect of a curriculum change without random assignment.
- It is common in Curriculum Development because classrooms, schools, and programs already exist before the study begins.
- The design can use pretests, posttests, comparison groups, or repeated measurements over time.
- Results are useful, but you have to watch for confounding variables that make the cause harder to pin down.
- It is especially helpful when evaluating real classroom interventions like technology tools, new lessons, or accessibility supports.

## FAQs

### What is quasi-experimental design in Curriculum Development?

It is a research method for testing a curriculum intervention without randomly assigning learners to groups. You compare existing classes, programs, or time periods to see whether the change is linked to better outcomes. Curriculum Development uses it a lot because real school settings rarely allow perfect experiments.

### Why would a curriculum designer use a quasi-experimental study instead of a true experiment?

A true experiment is not always practical or ethical in schools. You may not be able to split students randomly, especially if the curriculum is already being used in certain classrooms or grades. Quasi-experimental design lets you study the intervention in the real world, even though the evidence is less clean.

### What is an example of quasi-experimental design in a technology-enhanced lesson?

A school might introduce a new online discussion platform in one 7th grade social studies class and compare that class with another existing class that keeps traditional discussion. If both classes take a pretest and posttest, the designer can look for differences in participation or achievement. The catch is that the classes may differ in ways besides the platform.

### How do you tell quasi-experimental design from an experimental design?

Look for random assignment. If learners were randomly placed into treatment and control groups, it is experimental. If the study uses already-formed groups, like two existing classes or two schools, it is quasi-experimental. That difference matters because it affects how confidently you can claim the curriculum caused the outcome.

## Related Study Guides

- [9.2 Designing Technology-Enhanced Learning Experiences](/curriculum-development/unit-9/designing-technology-enhanced-learning-experiences/study-guide/Pys7oPgDNJdXlzkT)

## About This Document

Canonical Fiveable pages are available as Markdown at the same path plus `.md`.

- [llms.txt](https://fiveable.me/llms.txt): index of Fiveable's sections and URL patterns
- [llms-full.txt](https://fiveable.me/llms-full.txt): complete subject and unit listing
- [MCP server](https://fiveable.me/mcp): call Fiveable as tools instead of fetching pages (`https://fiveable.me/api/mcp`)
- [MCP server for AP teachers](https://fiveable.me/mcp/teachers): a teacher's classes, assignments and AP-rubric grading (`https://fiveable.me/api/mcp/teacher`)

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