Using Statistics in Small-Scale Language Education Research
Using Statistics in Small-Scale Language Education Research
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In this review of Using Statistics in Small-Scale Language Education Research, the bottom line is clear: it is a practical, classroom-focused guide for language teachers and applied linguistics students who need to do statistical research with small groups. Jean L. Turner writes assuming no prior statistics background, so the book's greatest strength is its step-by-step focus on research design and interpretation using methods that work when participant numbers are limited. This review highlights why the emphasis on non-parametric statistics makes it especially useful for real classroom projects.
Key Features
- Introductory approach: Assumes no familiarity with statistical methods and walks readers through basics so educators new to statistics can follow.
- Design-focused guidance: Offers detailed instruction on designing and conducting classroom-based research, helping readers plan feasible studies with small samples.
- Interpretation support: Emphasizes how to interpret and evaluate results so teachers can draw practical conclusions from limited data.
- Three-statistics coverage: Explains descriptive, parametric, and non-parametric methods while prioritizing those appropriate for small-N studies.
- Classroom relevance: Tailors examples and advice to second and foreign language educators aiming to carry out research in their own teaching contexts.
Who It's For
The book is best for language educators, graduate students in applied linguistics, and teacher-researchers who want a clear, accessible introduction to statistical methods that work in classroom settings and with limited participants. It suits coursework in language education research methods and statistics where hands-on classroom projects are expected.
Those who should look elsewhere include readers seeking exhaustive mathematical derivations or large-sample survey techniques; specialists who need advanced parametric modeling or extensive statistical software tutorials will find the scope intentionally focused on practical, small-scale approaches.
Pros & Cons
Pros
- Teaches non-parametric statistics with classroom-appropriate examples, making it easier to analyze small participant sets.
- Clear, stepwise explanations support readers with little or no prior statistics experience.
- Practical advice on designing and evaluating small-scale studies helps translate methods into classroom action.
Cons
- Not aimed at readers who need advanced parametric techniques or deep mathematical proofs, so it may be too introductory for some researchers.
Specifications
| Title | Using Statistics in Small-Scale Language Education Research |
| Author | Jean L. Turner |
| Series | ESL & Applied Linguistics Professional Series |
| Audience | Language educators and applied linguistics students |
| Statistical focus | Descriptive, parametric, and non-parametric (emphasis on non-parametric) |
| Application | Classroom settings and small participant studies |
Our Verdict
Using Statistics in Small-Scale Language Education Research is a practical, well-targeted resource for teachers and students who must design and interpret classroom research with few participants. Its emphasis on non-parametric methods and clear instructional tone make it good value for educators wanting usable statistical guidance rather than abstract theory.
Frequently Asked Questions
Does this book require prior statistics experience?
No. The text assumes no familiarity with statistics and provides step-by-step instruction suitable for beginners.
Is the book useful for actual classroom research projects?
Yes. It focuses on designing, conducting, and interpreting studies in classroom settings, especially when sample sizes are small.
Are advanced parametric methods covered in depth?
Parametric methods are addressed, but the emphasis is on non-parametric techniques appropriate for small-N situations rather than exhaustive advanced modeling.
Editor's Take
A practical, classroom-focused guide for language educators and students who need clear, non-mathematical instruction in designing and interpreting small-sample statistical research, with a strong emphasis on non-parametric methods.

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