An evaluation of a psychosocial intervention for survivors of childhood cancer: paradoxical effects of response shift over time

Life satisfaction in adult survivors of cancer during adolescence: what contributes to the latter satisfaction with life?

“…These findings may be interpreted as an adaptation to the traumatic cancer experience in terms of positive coping [16,17] or 'posttraumatic growth' [18,19]. Alternatively, it might be possible that an effect of 'response bias' with a tendency to minimize problems [20] or a 'response shift' [21][22][23] occurs, according to which the survivors are comparing their current QoL to their past state of acute illness and rate it consequently as favorable.…”

Understanding appraisal processes underlying the thentest: a mixed methods investigation

“…These healthrelated changes in the self-evaluation of a target construct comprise a change in the respondent's internal standards (i.e., recalibration), values (i.e., reprioritization), or conceptualization (i.e., reconceptualization) [1,2], and can undermine the unadjusted comparison of baseline and follow-up assessments [3] in a substantial proportion of people [4,5]. Although a number of methods have been proposed and validated for detecting response shift, the field is still rapidly evolving with the help of cross-method comparisons [6,7].…”

Response shift in patients with multiple sclerosis: an application of three statistical techniques

“…Response shift theory in quality of life (QOL) posits that these changes are catalyzed by changes in health states, as well as other health-related events, treatment interventions, the vicarious experience of such events, and other events hypothesized to have an impact upon QOL (life events) [1,3]. Response shift has now been studied and recognized to affect adaptation to a wide degree of health conditions, including multiple sclerosis [4][5][6][7], cancer [8][9][10][11][12][13][14][15][16][17][18][19][20][21], stroke [22][23][24], diabetes [25,26], geriatrics [27][28][29], palliative care [30][31][32][33], dental disorders [34], and, most recently, orthopedics [35]. A meta-analysis done on response shift reported that response shift findings ranged from moderate to small effect sizes [36]; thus, adjusting for response shift in the data analytic phase of a clinical study can boost effect sizes from moderate to large [17].…”

“…A meta-analysis done on response shift reported that response shift findings ranged from moderate to small effect sizes [36]; thus, adjusting for response shift in the data analytic phase of a clinical study can boost effect sizes from moderate to large [17]. Other research has demonstrated that adjusting for response shift can even reverse putative null or deleterious findings [19]. Methodological work in the response shift arena has also burgeoned in the past decade, as evidenced by the development and application of methodological and statistical operationalizations [2,[37][38][39][40][41][42].…”