This article extends a methodological approach considered by Bolt and Johnson for the measurement and control of extreme response style (ERS) to the analysis of rating data from multiple scales. Specifically, it is shown how the simultaneous analysis of item responses across scales allows for more accurate identification of ERS, and more effective control of ERS effects on the substantive trait estimates, than when analyzing just one scale. Moreover, unlike a competing approach presented by Greenleaf, the current strategy can accommodate conditions in which the substantive traits across scales correlate, as is almost always the case in social sciences research. Simulation and real data analyses are used for illustration.Keywords item response theory, extreme response style, nominal response model A well-known limitation of self-report survey instruments in the social sciences is their susceptibility to response style effects. Response styles (or alternatively ''response sets'') refer to stylistic tendencies in how respondents assign ratings to items, such as tendencies to use only a small number of the available rating scale options (Cronbach, 1946). Response styles have the potential to undermine the validity of scale scores and can also interfere with the application of psychometric models (such as item response models) that imply invariance in the functioning of items across respondents.Although various response styles have been documented (see Baumgartner & Steenkamp, 2001, for a review), extreme response style (ERS) is a form that has been the focus of much methodological research. ERS is characterized by a tendency to select the end points of a rating scale, such as 1 ¼ strongly disagree or 7 ¼ strongly

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Few studies have empirically investigated the specific factors in mentoring relationships between undergraduate researchers (mentees) and their mentors in the biological and life sciences that account for mentees’ positive academic and career outcomes. Using archival evaluation data from more than 400 mentees gathered over a multi-year period (2005–11) from several undergraduate biology research programs at a large, Midwestern research university, we validated existing evaluation measures of the mentored research experience and the mentor-mentee relationship. We used a subset of data from mentees (77% underrepresented racial/ethnic minorities) to test a hypothesized social cognitive career theory model of associations between mentees’ academic outcomes and perceptions of their research mentoring relationships. Results from path analysis indicate that perceived mentor effectiveness indirectly predicted post-baccalaureate outcomes via research self-efficacy beliefs. Findings are discussed with implications for developing new and refining existing tools to measure this impact, programmatic interventions to increase the success of culturally diverse research mentees and future directions for research.

The 17 O(p,γ ) 18 F and 17 O(p,α) 14 N reactions have a profound influence on hydrogen-burning nucleosynthesis in a number of stellar sites, including red giants, asymptotic giant branch (AGB) stars, massive stars, and classical novae. Previously evaluated thermonuclear rates for both reactions carry large uncertainties. We investigated the proton-capture reaction on 17 O in the bombarding energy range of E lab p = 180-540 keV. We observed a previously undiscovered resonance at E lab R = 193.2 ± 0.9 keV. The resonance strength amounts to (ωγ ) pγ = (1.2 ± 0.2) × 10 −6 eV. With this value, the uncertainties of the 17 O(p,γ ) 18 F reaction rates are reduced by orders of magnitude in the peak temperature range of classical novae (T = 0.1-0.4 GK). We also report on a reevaluation of the 17 O(p,γ ) 18 F reaction rates at lower temperatures that are pertinent to red giants, AGB stars, or massive stars. The present work establishes the 17 O(p,γ ) 18 F reaction rates over a temperature range of T = 0.01-1.5 GK with statistical uncertainties of 10-50%. The new recommended reaction rates deviate from the previously accepted values by an order of magnitude around T ≈ 0.2 GK and by factors of 2-3 at T < 0.1 GK.