A GENERATIONAL ANALYSIS OF WOMEN'S RIGHTS ACTIVISTS

This article addresses the important issue of intergenerational similarities and differences among women's rights activists. We examined the attitudes, emotions, and experiences of three generations of reproductive rights activists, born between 1925 and 1975. Across generations, the participants were strongly pro-choice and identified as feminists. Despite these similarities, there were several differences that could be explained by considering the sociohistorical circumstances faced by each cohort. For example, the Civil Rights generation activists came of age during the boycotts and marches of the 1950s and showed the highest level of civil rights activism. Reflecting the coincidence of their young adulthood with the 1970s women's movement, the Protest generation activists identified the most with the label "feminist." Finally, the Poshvomen's movement activists, raised in the 1970s and 198Os, were the most likely to have taken college-level women's studies classes.     

Enhancing mental health and well-being outcomes for psychotherapy and counselling through idiographic analysis: A four-quadrant approach

Mental health and well-being outcomes in psychotherapy and counselling have largely been studied through the use of standardised nomothetic measurement. A key limitation is that nomothetic measurement and current statistical analyses do not necessarily capture the outcomes of the complicated and individual psychotherapy processes. There is an increased interest in the use of idiographic patient-reported outcome measures (I-PROMs), which are uniquely useful because they may explore areas of importance that are unexplored by nomothetic outcome measures. We argue that to optimise the value of I-PROMs, it is necessary to consider their contribution alongside standardised nomothetic measures. However, there are important considerations with respect to whether or not I-PROMs from different clients, or indeed from the same client, can be meaningfully explored at a team/service level, and alongside standardised nomothetic outcomes. We provide worked examples on real client data to show that delineating four quadrants of analysis is important to explore the breadth of information: (a) individual progress on single items, (b) individual progress by aggregated scores, (c) team/service-level progress by goal item/theme and (d) team/service-level progress by aggregated scores.