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. 2023 Sep 13;33(2):293–315. doi: 10.1007/s11136-023-03495-x

Table 5.

Prevalence and magnitude of response shift results for different study design characteristics

Study design characteristics Study-level results Effect-level results
Total effects Recalibration effects Reprioritization and/or Reconceptualization effects, or unknowna
Prevalenceb Prevalenceb Prevalenceb Magnitudec Prevalenceb Magnitudec
N % RS detected N % RS detected N % RS detected N Median ES (IQR) N % RS detected N Median ES (IQR)
Design
 Observational 122 88.5 3978 16.2 1724 28.1 879 0.21 (0.10–0.36) 2254 7.1 33 0.10 (0.04–0.17)
 Experimental 28 78.6 890 16.5 361 27.7 145 0.26 (0.16–0.41) 529 8.9 5 0.03 (0.01–0.06)
Data analysis
 Primary analysis 90 87.8 1590 30.2 1058 39.7 872 0.22 (0.11–0.38) 532 11.3 15 0.14 (0.08–0.25)
 Secondary analysis 59 84.7 3268 9.5 1027 16.0 152 0.19 (0.09–0.32) 2241 6.6 23 0.05 (0.02–0.10)
 Unknown 1 100.0 10 10.0 n/a n/a n/a n/a 10 10.0 n/a n/a
Sample sizes (Binned)
 Q1 (< 57) 59 76.3 1121 16.1 584 23.3 391 0.26 (0.13–0.45) 537 8.4 5 0.03 (0.01–0.06)
 Q2 (57–254) 79 82.3 1353 23.4 668 35.5 393 0.22 (0.10–0.38) 685 11.5 13 0.14 (0.10–0.20)
 Q3 (255–410) 34 85.3 1262 15.8 472 32.0 194 0.15 (0.09–0.24) 790 6.2 8 0.10 (0.07–0.35)
 Q4 (> 411) 27 77.8 1132 8.4 361 16.6 46 0.20 (0.12–0.35) 771 4.5 12 0.05 (0.02–0.13)
Time period classification
 < 1 month 15 80.0 488 13.1 205 24.9 95 0.23 (0.09–0.32) 283 4.6 7 0.01 (0.00–0.03)
 1–6 months 23 91.3 427 19.9 110 43.6 49 0.40 (0.22–0.71) 317 11.7 11 0.05 (0.04–0.10)
 > 6–12 months 36 72.2 905 12.3 347 21.0 78 0.18 (0.09–0.39) 558 6.8 n/a n/a
 > 12 months 90 87.8 2604 18.2 1211 29.7 733 0.22 (0.11–0.38) 1393 8.1 16 0.13 (0.09–0.28)
 Not reported 12 83.3 444 13.3 212 24.5 69 0.16 (0.10–0.28) 232 3.0 4 0.18 (0.13–0.24)

aUnknown includes several effects for which the pathway was unknown due to it not being explicitly reported.

bPrevalence is based on a total of 150 studies and 4868 effects that were investigated or possible. N = # of studies or response shift effects. The # of studies may not add up to 150 (first column) because some studies implemented multiple methods or had multiple samples that were counted separately. % RS detected = the percentage of detected response shift effects of # studies conducted or # response shift effects that were investigated or possible.

cMagnitude is based on 91 studies and 1062 effects for which Cohen’s d could be determined. N = the # of these response shift effects. ES = Cohen’s d. IQR = interquartile range. n/a = not applicable because either the response shift pathway could not be investigated due to the method used or the results could not be discerned from what was reported in the manuscript.

Example: For observational study designs, there are a total of 122 studies of which 88.5% had detected response shift and 3978 effects of which 16.2% had detected response shift. There were 1724 recalibration effects, of which 28.1% had detected response shift and 879 for which a Cohen’s d was obtained. There were also 2254 reprioritization and/or reconceptualization or unknown effects, of which 7.1% had detected response shift and 33 for which a Cohen’s d was obtained.