The basic idea: items → points → score
A test usually includes multiple items (questions). Each answer option is assigned points (for example 0–3). Your total score is the sum of points across items. Some tests also compute subscale scores by summing specific subsets of items.
1) Item scoring (example)
Many symptom scales use options like “Not at all / Several days / More than half / Nearly every day” and assign increasing points.
Several days = 1
More than half the days = 2
Nearly every day = 3
If a test has 10 items scored 0–3, the total range is 0–30.
2) Reverse scoring (why some items “flip”)
Some tests include positively worded items to reduce response bias (e.g., always choosing the same option). These items are scored in the opposite direction.
Example idea: “I feel calm most of the time.”
If the scale measures anxiety, agreeing strongly with this item should reduce the anxiety score. Reverse scoring ensures the item contributes correctly.
3) Total scores vs subscales
A total score summarizes the overall pattern. Subscales offer a more detailed profile.
- Total score: overall severity or frequency
- Subscales: different dimensions (e.g., cognitive vs physical symptoms)
- Profiles: your pattern across subscales can be more informative than one number
4) Cutoffs (low / moderate / high)
Many online tests map score ranges to labels like low, moderate, or high. These are screening categories that simplify interpretation.
- Cutoffs help you decide whether to monitor, take action, or seek further assessment.
- Scores near the cutoff are uncertain; small context changes can move you across categories.
- Cutoffs do not prove diagnosis.
5) Norms and percentiles (when available)
Some tests interpret results using norms: reference scores from a population. A percentile tells you how your score compares to the reference group.
- Percentile: relative ranking (e.g., 70th percentile means higher than 70% of the group)
- Important: percentiles depend on who the reference group is
6) Why scores are estimates (measurement error)
No test is perfectly precise. Scores include measurement error and context effects. That’s why small differences are not always meaningful.
- Mood and stress at the time of taking the test can shift answers
- Interpretation of item wording differs across people
- Short tests provide less detail and may have more uncertainty
Related reading
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FAQ
What is reverse scoring?
Reverse scoring is when an item is scored in the opposite direction to control response bias. For example, agreeing with a positively worded statement may reduce a symptom score.
Why do tests use cutoffs?
Cutoffs are thresholds used to group scores into categories like low, moderate, or high. They simplify screening interpretation but are not absolute proof of diagnosis.
Is a score an exact measurement?
No. Scores are estimates based on your answers and include measurement error. Small differences can occur due to context, mood, and interpretation of items.