Measures and Methods
UW-CTRI researchers have developed measures, scales, methods, and codes designed to assess attributes of smokers, tobacco dependence and the process of quitting. These (below) are available for your use.
- Wisconsin Smoking Withdrawal Scale (Versions 1-3)
- Wisconsin Smoking Withdrawal Scale 3 (WSWS 3)
- Story about the making of WSWS 3
- Kaye JT, Bolt DM, Piper ME, Cook JW, Williams BS, Piasecki TM, Baker TB. (2026) Assessing Cigarette Smoking Withdrawal in Unmedicated Individuals: Validating the Wisconsin Smoking Withdrawal Scales Version 3 (WSWS3). Psychology of Addictive Behaviors. Online August 17, 2026.
- WSWS 3 paper (PDF)
- The Wisconsin Smoking Withdrawal Scale 3 – Long Version (WSWS3-L) with the full set of 21 items are on page 1; scoring instructions are on page 2.
- The Wisconsin Smoking Withdrawal Scale 3 – Brief Version (WSWS3-B) with 7 items are on page 1; scoring instructions are on page 2.
- Wisconsin Smoking Withdrawal Scale Version 2 (WSWS2)
- Smith SS, Piper ME, Bolt DM, Kaye JT, Fiore MC, Baker TB. (2021) Revision of the Wisconsin Smoking Withdrawal Scale: Development of brief and long forms. Psychological Assessment, 33(3), 255–266.
- WSWS 2 paper
- The Wisconsin Smoking Withdrawal Scale 2 – Long Version (WSWS2-L) with the full set of 19 items are on page 1; scoring instructions are on page 2
- The Wisconsin Smoking Withdrawal Scale 2 – Brief Version (WSWS2-B) with 6 items are on page 1; scoring instructions are on page 2
- Wisconsin Smoking Withdrawal Scale Version 1 (WSWS)
- Welsch SK, Smith SS, Wetter DW, Jorenby DE, Fiore MC, Baker TB. (1999) Development and validation of the Wisconsin Smoking Withdrawal Scale. Experimental and clinical psychopharmacology, 7(4), 354–361.
- WSWS 1 (PDF)
- Measure with the full set of 28 items
- WSWS scoring procedure
- Wisconsin Smoking Withdrawal Scale 3 (WSWS 3)
- Smoking Consequences Questionnaire
Dr. Danielle McCarthy has published several papers on patterns of change during stop-smoking efforts. She has posted information about how to identify patterns of change in longitudinal data on behavior using Repeated Measures Latent Class Analysis (RMLCA) at this link for researchers.