Video summary
설문지 데이터 입력 - 엑셀을 활용한 spss 코딩(spss 코딩, 설문지 코딩, 코딩틀, 엑셀 코딩)
Main summary
Key takeaways
Main ideas / lessons
- Survey coding is the process of entering completed survey responses into SPSS.
- You should not simply type the raw answer text (e.g., “a” or labels) into SPSS. Instead, you must first build a coding framework (coding scheme) that matches each question’s measurement type:
- nominal
- ordinal
- ratio
- Likert
- Questionnaire coding varies by question format, especially when questions use:
- Ranking / ordinal choices
- Likert scales (multi-item agreement scales)
Methodology / step-by-step instructions
A) Build SPSS variable names (Variable View)
- Open SPSS and go to Variable View.
- Create one variable per question or per scale item, depending on the question type.
Recommended practices:
- Put the survey number as the first variable so later entry mistakes can be quickly identified.
- SPSS variable-name rules:
- Variable names must start with a letter (numbers cannot be first).
- Avoid disallowed characters such as dashes; use an underscore instead.
Naming approach demonstrated
- Use a pattern like:
q_[number]_[question number](e.g.,q_..._1)
- Where
qstands for “question,” and underscores separate parts.
B) Determine scale type for each question (conceptual mapping)
From the example questionnaire:
- Nominal scale (example: Gender with text categories like male/female)
- If options are text categories, nominal is appropriate.
- Ratio scale (example: Age and another “amount” question)
- When responses are pure numbers representing quantity, treat as ratio.
- Ordinal / ranking (example: rank question)
- Ranking requires multiple variables rather than a single one.
- Likert scale (example: Question 9, 5-point agreement)
- Each statement/item inside the Likert scale becomes its own variable.
C) Create variables based on question type
1) Simple single-response questions (one variable each)
For questions such as:
- Gender → create a single variable (e.g.,
Gender) - Age → create a single variable (ratio)
- Residence → create a single variable
- Other numeric/text single items (as ratio where appropriate)
2) Ranking / ordinal question (multiple variables)
For a ranking question (example: Question 7):
- Respondents provide ranks like 1st, 2nd, 3rd, so create separate variables for each rank position.
- Conceptual structure shown:
- Variable for “1st rank person”
- Variable for “2nd rank person”
- Variable for “3rd rank person”
The variables correspond to rank positions—you record which option/name was placed at each rank.
3) Likert scale question (multiple variables)
For a Likert section (example: Question 9):
- Each item/statement within the Likert scale must be its own variable.
- Examples:
- If there are 6 Likert items, create 6 variables (e.g., Q9_1 through Q9_6).
- If the Likert scale had 10 items, create 10 variables, etc.
D) Enter data in SPSS (Data View)
- After variables are defined, go to Data View and input responses row by row.
Example entry concepts:
- Likert items: map selections (e.g., “strongly disagree” to “strongly agree”) onto numeric scores (example values referenced: points on a 1–4 style scale depending on the example).
- Ranking: if a respondent’s rank choices differ from variable labels, enter the correct numeric code corresponding to the respondent’s selected name for that rank variable.
E) Finish coding output
- Once all respondents are entered into SPSS under the correct variables, survey coding is complete.
Excel coding alternative (why and how)
Why Excel is used
- SPSS is not very fast for large-scale data entry, so many people use Excel to code and then load data into SPSS more efficiently.
Excel coding workflow
- Create an Excel coding template:
- Put variable names in the first row (A1).
- Enter respondent data starting from A2 downward.
- After filling the template:
- Save the file.
- Import it into SPSS by dragging/loading the Excel file.
- In SPSS’s Excel reader/import window:
- Check “Read variable names from the first row of data”.
- Click OK.
- Result:
- Data transfers into SPSS and variable names are imported correctly.
Speakers / sources
- Speaker (unnamed): The instructor/author presenting the method for survey coding in SPSS and Excel.