Education Survey Instrument Design
Goal
Convert constructs/variables into a usable education research questionnaire or scale with dimensions, items, response options, validity checks, and pilot-test plan.
Use After
Use this skill after one of these stages:
education-variable-identification
education-quantitative-study-design
education-mixed-methods-design
education-program-evaluation
education-psychometric-scale-development
Do not expose the skill name to users. Present this as "问卷/量表设计" or "测量工具设计".
Inputs
- Research question(s)
- Variable/construct table
- Target participants: students, teachers, parents, administrators
- Education context: grade, subject, school type, region
- Existing scales, if any
- Target language
- Intended analysis: descriptive, regression, mediation/moderation, SEM, EFA/CFA, evaluation
Workflow
- Confirm measurement purpose:
- measure attitudes/perceptions
- measure behavior/frequency
- measure ability/performance
- measure implementation quality
- screen/group participants
- validate a new scale
- Map constructs to dimensions.
- Search or suggest existing validated scales before creating new items.
- Decide item source:
- adopt existing scale
- adapt existing scale
- create new items
- mixed adopt/adapt/create
- Generate item pool for each dimension.
- Choose response format:
- 5-point or 7-point Likert
- frequency scale
- agreement scale
- semantic differential
- multiple choice
- open-ended supplement
- Add reverse-coded items only when useful and age-appropriate.
- Build questionnaire sections:
- consent/instructions
- demographics/background
- core scale items
- behavioral/context items
- optional open-ended item
- Plan expert review/content validity.
- Plan pilot test:
- comprehension check
- item distribution
- missing response rate
- reliability
- exploratory factor analysis if enough sample
- Output questionnaire draft and validation plan.
Tool Calls
Literature Search for Existing Scales
Semantic Scholar:
curl "https://api.semanticscholar.org/graph/v1/paper/search?query=student%20writing%20self-efficacy%20scale%20education&limit=10&fields=title,year,abstract,citationCount,authors"
OpenAlex:
curl "https://api.openalex.org/works?search=student%20writing%20self-efficacy%20scale%20education&per-page=10&mailto=YOUR_EMAIL"
Search patterns:
[construct] scale education students
[construct] questionnaire validation teachers
[construct] instrument reliability validity education
[construct] Chinese scale students
Questionnaire Deployment Tools
Qualtrics: https://www.qualtrics.com/
SurveyMonkey: https://www.surveymonkey.com/
Google Forms: https://forms.google.com/
问卷星: https://www.wjx.cn/
腾讯问卷: https://wj.qq.com/
Reliability and Item Analysis Tools
R:
install.packages(c("psych", "tidyverse", "GPArotation"))
library(psych)
alpha(data_frame_of_items)
describe(data_frame_of_items)
fa(data_frame_of_items, nfactors = 3, rotate = "oblimin")
jamovi:
https://www.jamovi.org/
Analyses -> Factor -> Reliability Analysis
Analyses -> Factor -> Exploratory Factor Analysis
JASP:
https://jasp-stats.org/
Factor -> Reliability Analysis
Factor -> Exploratory Factor Analysis
Output Format
1. Construct-Dimension Map
| Construct |
Dimension |
Definition |
Source Basis |
Planned Items |
2. Questionnaire Item Table
| Item ID |
Dimension |
Item Text |
Response Format |
Reverse Coded |
Source/Adaptation |
3. Expert Review Form
| Item ID |
Relevance 1-4 |
Clarity 1-4 |
Age Appropriateness 1-4 |
Revision Suggestion |
4. Pilot-Test Plan
| Check |
Method |
Decision Rule |
| Comprehension |
Cognitive interview or student feedback |
Revise unclear items |
| Missing rate |
Item missing percentage |
Review items with high missing |
| Item distribution |
Mean, SD, skewness |
Review extreme ceiling/floor effects |
| Reliability |
Cronbach's alpha / omega |
Interpret cautiously; revise weak items |
| Structure |
EFA/CFA if sample supports |
Confirm dimension structure |
Age-Appropriate Item Rules
- For primary students, use short sentences and concrete behaviors.
- Avoid double-barreled items.
- Avoid abstract constructs unless translated into observable behavior.
- Avoid excessive reverse-coded items for young learners.
- Use examples only if they do not bias answers.
Quality Rules
- Prefer validated instruments when available.
- Do not claim a new scale is valid before testing.
- Separate dimensions clearly; each item should measure one thing.
- Align every item to a research question or variable.
- Record whether items are adopted, adapted, or newly written.
- Plan permissions/citations for existing scales.
User-Facing Closure
End by asking the user to confirm practical constraints:
这版问卷已经可以进入专家审阅和小样本预测试。接下来需要确认:你的对象是几年级学生?预计能收集多少份问卷?是否需要我把它整理成问卷星/Qualtrics 可导入格式?
1---2name: education-survey-instrument-design3description: Use when designing survey instruments, questionnaires, scales, rubrics, or measurement tools for education research after research questions, variables, or constructs are identified. Covers scale selection, construct-dimension mapping, item generation, reverse-coded items, response formats, expert validity review, pilot testing, reliability/validity planning, and questionnaire deployment tools. This is a second-layer execution skill used by quantitative, mixed-methods, program evaluation, psychometric, and action research workflows.4---56# Education Survey Instrument Design78## Goal910Convert constructs/variables into a usable education research questionnaire or scale with dimensions, items, response options, validity checks, and pilot-test plan.1112## Use After1314Use this skill after one of these stages:1516- `education-variable-identification`17- `education-quantitative-study-design`18- `education-mixed-methods-design`19- `education-program-evaluation`20- `education-psychometric-scale-development`2122Do not expose the skill name to users. Present this as "问卷/量表设计" or "测量工具设计".2324## Inputs2526- Research question(s)27- Variable/construct table28- Target participants: students, teachers, parents, administrators29- Education context: grade, subject, school type, region30- Existing scales, if any31- Target language32- Intended analysis: descriptive, regression, mediation/moderation, SEM, EFA/CFA, evaluation3334## Workflow35361. Confirm measurement purpose:37 - measure attitudes/perceptions38 - measure behavior/frequency39 - measure ability/performance40 - measure implementation quality41 - screen/group participants42 - validate a new scale432. Map constructs to dimensions.443. Search or suggest existing validated scales before creating new items.454. Decide item source:46 - adopt existing scale47 - adapt existing scale48 - create new items49 - mixed adopt/adapt/create505. Generate item pool for each dimension.516. Choose response format:52 - 5-point or 7-point Likert53 - frequency scale54 - agreement scale55 - semantic differential56 - multiple choice57 - open-ended supplement587. Add reverse-coded items only when useful and age-appropriate.598. Build questionnaire sections:60 - consent/instructions61 - demographics/background62 - core scale items63 - behavioral/context items64 - optional open-ended item659. Plan expert review/content validity.6610. Plan pilot test:67 - comprehension check68 - item distribution69 - missing response rate70 - reliability71 - exploratory factor analysis if enough sample7211. Output questionnaire draft and validation plan.7374## Tool Calls7576### Literature Search for Existing Scales7778Semantic Scholar:7980```bash81curl "https://api.semanticscholar.org/graph/v1/paper/search?query=student%20writing%20self-efficacy%20scale%20education&limit=10&fields=title,year,abstract,citationCount,authors"82```8384OpenAlex:8586```bash87curl "https://api.openalex.org/works?search=student%20writing%20self-efficacy%20scale%20education&per-page=10&mailto=YOUR_EMAIL"88```8990Search patterns:9192```text93[construct] scale education students94[construct] questionnaire validation teachers95[construct] instrument reliability validity education96[construct] Chinese scale students97```9899### Questionnaire Deployment Tools100101```text102Qualtrics: https://www.qualtrics.com/103SurveyMonkey: https://www.surveymonkey.com/104Google Forms: https://forms.google.com/105问卷星: https://www.wjx.cn/106腾讯问卷: https://wj.qq.com/107```108109### Reliability and Item Analysis Tools110111R:112113```r114install.packages(c("psych", "tidyverse", "GPArotation"))115library(psych)116alpha(data_frame_of_items)117describe(data_frame_of_items)118fa(data_frame_of_items, nfactors = 3, rotate = "oblimin")119```120121jamovi:122123```text124https://www.jamovi.org/125Analyses -> Factor -> Reliability Analysis126Analyses -> Factor -> Exploratory Factor Analysis127```128129JASP:130131```text132https://jasp-stats.org/133Factor -> Reliability Analysis134Factor -> Exploratory Factor Analysis135```136137## Output Format138139### 1. Construct-Dimension Map140141| Construct | Dimension | Definition | Source Basis | Planned Items |142|---|---|---|---|---|143144### 2. Questionnaire Item Table145146| Item ID | Dimension | Item Text | Response Format | Reverse Coded | Source/Adaptation |147|---|---|---|---|---|---|148149### 3. Expert Review Form150151| Item ID | Relevance 1-4 | Clarity 1-4 | Age Appropriateness 1-4 | Revision Suggestion |152|---|---|---|---|---|153154### 4. Pilot-Test Plan155156| Check | Method | Decision Rule |157|---|---|---|158| Comprehension | Cognitive interview or student feedback | Revise unclear items |159| Missing rate | Item missing percentage | Review items with high missing |160| Item distribution | Mean, SD, skewness | Review extreme ceiling/floor effects |161| Reliability | Cronbach's alpha / omega | Interpret cautiously; revise weak items |162| Structure | EFA/CFA if sample supports | Confirm dimension structure |163164## Age-Appropriate Item Rules165166- For primary students, use short sentences and concrete behaviors.167- Avoid double-barreled items.168- Avoid abstract constructs unless translated into observable behavior.169- Avoid excessive reverse-coded items for young learners.170- Use examples only if they do not bias answers.171172## Quality Rules173174- Prefer validated instruments when available.175- Do not claim a new scale is valid before testing.176- Separate dimensions clearly; each item should measure one thing.177- Align every item to a research question or variable.178- Record whether items are adopted, adapted, or newly written.179- Plan permissions/citations for existing scales.180181## User-Facing Closure182183End by asking the user to confirm practical constraints:184185```text186这版问卷已经可以进入专家审阅和小样本预测试。接下来需要确认:你的对象是几年级学生?预计能收集多少份问卷?是否需要我把它整理成问卷星/Qualtrics 可导入格式?187```