“Am I Going to be Natural or am I Not?”: Canadian Women’s Perceptions and Experiences of Menstrual Suppression

This paper reports on findings from a qualitative interview-based study of women’s experiences and perceptions of menstrual suppression using a diverse sample of 12 women from Vancouver, Canada. The study used open-ended, in-depth interviews to ask women questions related to the following overarching research question: How do Canadian women perceive and experience menstrual suppression? Of the 12 women, six had experience with menstrual suppression, while six had never suppressed their periods. The six women who suppressed their periods cited convenience, pain management, and feeling more positively about their bodies as their reasons for suppression. The six women who had not suppressed their cycles cited fears about compromising their health, worries about altering the “natural” menstrual cycle, and an uneasiness with pharmaceutical products in general as rationales for rejecting menstrual suppression. Ultimately, the findings reveal that there are many considerations and factors involved in women’s decisions about menstrual frequency. While many of the women appreciated the appeal of menstrual suppression, the long-term risks and health uncertainties deterred many of them from reducing their menstrual frequency. The findings are discussed in relation to medical literature which encourages women to suppress their menses, as well as sociological theorizing about menstrual culture within a Foucauldian framework of discipline and control.     

The impact of presentation format on causal inferences

The impact of the presentation format of covariation information on causal judgements was examined in a fictitious virus-disease causal induction task. Six different judgement conditions were created by crossing two levels of virus-disease covariation (0, .5) with three levels of disease base rate (.25, .5, .75). The covariation information was presented differently to three groups of participants. In a first group, it was presented in propositional format summarising the frequencies of the four patient types, namely patients with or without the virus who either did have or did not have the disease. In a second group the same information was presented in a 2×2 table with the cell frequencies represented in terms of countable objects (the presence/absence of virus/disease was shown as schematic faces that varied in expression and colour). In a third group the covariation information was presented in terms of a cumulative frequency tree with the two main branches representing the frequencies of patients with and without the disease which further decomposed into subgroups of those with and without the virus. The ability to discriminate between the levels of covariation was poorest in Group 1; it was significantly improved in Group 2, and was best in Group 3. These results suggest that the format with which covariation information is presented to reasoners exerts a significant influence on causal judgements.     

Accomplishing Structural Change: Identifying Intermediate Indicators of Success

Coalitions are routinely employed across the United States as a method of mobilizing communities to improve local conditions that impact on citizens’ well-being. Success in achieving specific objectives for environmental or structural community change may not quickly translate into improved population outcomes in the community, posing a dilemma for coalitions that pursue changes that focus on altering community conditions. Considerable effort by communities to plan for and pursue structural change objectives, without evidence of logical and appropriate intermediate markers of success could lead to wasted effort. Yet, the current literature provides little guidance on how coalitions might select intermediate indicators of achievement to judge their progress and the utility of their effort. The current paper explores the strengths and weaknesses of various indicators of intermediate success in creating structural changes among a sample of 13 coalitions organized to prevent exposure to HIV among high-risk adolescents in their local communities.     

Adapting to Context in Community-Based Participatory Research: “Participatory Starting Points” in a Chinese Immigrant Worker Community

Community-based participatory research (CBPR) is increasingly being used to better understand and improve the health of diverse communities. A key strength of this research orientation is its adaptability to community contexts and characteristics. To date, however, few studies explicitly discuss adaptations made to CBPR principles and processes in response to community context and partners’ needs. Using data from our CBPR study, the San Francisco Chinatown Restaurant Worker Health and Safety Project, and drawing from literature on immigrant political incorporation, we examine the links between the contexts of the Chinese immigrant worker community, adaptations made by our collaborative, and study outcomes. In particular, we explore the concepts of contexts of reception and participatory starting points, which may be especially relevant for partnerships with immigrant communities whose members have historically had lower rates of civic and political participation in the US. We discuss contextual findings such as worker partner accounts of language barriers, economic and social marginalization, and civic skills and participation, as well as subsequent adaptations made by the partnership. We also describe the relative effectiveness of these adaptations in yielding equitable participation and building partners’ capacity. We conclude by sharing lessons learned and their implications for CBPR and partnerships with immigrant communities more broadly.     

Assessee and Assessor Experiences of Significant Events in Psychological Assessment Feedback

Although a growing body of scholarly work explores the unique utility and therapeutic uses of psychological assessment, less work has focused specifically on feedback, with few studies that have explored empirically the underlying processes that may describe the role of feedback in a successful assessment. The purpose of this project was to add to the discourse on this topic by engaging in an empirical study exploring assessee and assessor experiences of significant events in psychological assessment feedback. The methodology is qualitative and modeled after significant events research in the study of psychotherapy process. I analyze the accounts of 6 assessment clients and 6 assessment clinicians regarding key events in their experience of feedback.     

Revisiting Interpretation of Canonical Correlation Analysis: A Tutorial and Demonstration of Canonical Commonality Analysis

In the face of multicollinearity, researchers face challenges interpreting canonical correlation analysis (CCA) results. Although standardized function and structure coefficients provide insight into the canonical variates produced, they fall short when researchers want to fully report canonical effects. This article revisits the interpretation of CCA results, providing a tutorial and demonstrating canonical commonalty analysis. Commonality analysis fully explains the canonical effects produced by using the variables in a given canonical set to partition the variance of canonical variates produced from the other canonical set. Conducting canonical commonality analysis without the aid of software is laborious and may be untenable, depending on the number of noteworthy canonical functions and variables in either canonical set. Commonality analysis software is identified for the canonical correlation case and we demonstrate its use in facilitating model interpretation. Data from Holzinger and Swineford (1939) Holzinger, K. J. and Swineford, F. 1939. “A study in factor analysis: The stability of a bi-factor solution.”. In Supplementary Educational Monographs Vol. 48, 81–91. Chicago: Department of Education, University of Chicago.  [Google Scholar] are employed to test a hypothetical theory that problem-solving skills are predicted by fundamental math ability.     

A Dual Process Model of Attitudes towards Immigration: Person × Residential Area Effects in a National Sample

This research took a person × situation approach to predicting prejudice by looking at how social worldviews interact with real‐world environmental factors to predict how people respond to immigrants within their local area. Taking a Dual Process Motivational approach, we hypothesized that a higher proportion of immigrants in the local community would be associated with negative attitudes toward immigration for respondents high in dangerous world beliefs. Conversely, we hypothesized that living in a highly affluent (as opposed to socioeconomically deprived) community would be associated with negative attitudes toward immigration for respondents high in competitive world beliefs. Both hypotheses were supported using regional information derived from national census data combined with representative survey data from a large telephone sample conducted in New Zealand (N = 6,489). These findings support the proposition that individual differences interact with specific features of the environment to predict people's levels of prejudice in distinct ways.