Recent H-alpha results on pulsar B2224+65's bow-shock nebula, the "Guitar"

We used the 4 m Discovery Channel Telescope (DCT) at Lowell observatory in 2014 to observe the Guitar Nebula, an Hα bow-shock nebula around the high-velocity radio pulsar B2224+65. Since the nebula`s discovery in 1992, the structure of the bow-shock has undergone significant dynamical changes. We have observed the limb structure, targeting the "body" and "neck" of the guitar. Comparing the DCT observations to 1995 observations with the Palomar 200-inch Hale telescope, we found changes in both spatial structure and surface brightness in the tip, head, and body of the nebula

Relationships and Client Protection Differences in the APA and ACA Ethical Codes

We present the results of a line-by-line comparison regarding relationship and client protection issues between the American Psychological Association (APA) and American Counseling Association (ACA) ethical codes. Out of 144 total differences in these ethical codes, 34 differences pertain specifically to the topics of relationships and client protection. Results from the study showed ACA to provide extensive requirements and prohibitions relating to the therapeutic relationship, compared to APA’s more general and principle-driven approach to this domain. Citing a few examples here, we note that ACA requires more extensive documentation of relationship boundary changes pertaining to romantic and/or sexual relationships, therapeutic role changes, and other redefinitions of relationships. Additionally, ACA and APA both limit the potential for multiple relationships, but ACA specifically prohibits counselors from terminating a therapeutic relationship in order to pursue a romantic relationship with someone closely related to their client. In sum regarding this domain, the ACA is more definitive, prescriptive, and limiting in what appears to be attempts at providing strengthened client protection. Similarly, the ACA is more detailed and narrow regarding client/counselor relationships and other therapeutic boundary establishments. The protections also are more fully extended to the counseling supervisor/supervisee relationship in the ACA code. In contrast, the APA is more general and/or silent in the domains which are spelled-out in detail by ACA. In the present study, we draw attention to the specific wording in the two documents and how these differences in words potentially impact clinical practice with both clients and supervisees. We also discuss how the results of the present study have implications for undergraduate students who are at the point of decision-making regarding which profession to select. Additionally, any psychologist who supervises counselors must ensure that all ethical standards—of both psychology and counseling—are upheld when counselors work under the licenses of a practicing psychologist. And finally, agencies who hire both licensed psychologist and licensed counselors must be aware of these significant differences in the APA and ACA ethical codes. We place the results of the present study into the larger context of the overall differences between the two codes

Multiple imputation of missing covariates for the Cox proportional hazards cure model

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134146/1/sim7048_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134146/2/sim7048.pd

Blending and Spending: Financial Influences Impacting Childfree Stepmothers’ Relationship Satisfaction

There exists a need to better understand how monetary factors impact the partnerships of childfree stepmothers in blended families. The present study examines the correlation of couples’ shared financial values and congruence in financial management behaviors with relationship satisfaction among these stepmothers. Participants included 104 childfree stepmothers in blended families. Findings indicated that perceived shared financial values positively predicted relationship satisfaction. In addition, while financial behavior congruence between stepmothers and their partners did predict relationship satisfaction, it did so through a weaker inverse association. Contrary to expectations, financial behavior congruence did not mediate the association between shared financial values and relationship satisfaction. These results reflect the complex role of financial factors in the well-being of childfree stepmothers within blended families and the need for nuanced psychological and financial support tailored to this oft-overlooked group of women

Wave III Tobacco Tax Data Documentation

These data are meant to supplement the County Health and Mobility Data available for Waves I & IV1. Tobacco tax information is at the state level. Data were matched to the state that the Add Health respondent was living in at the time of the Wave III interview. Data were matched to respondents so as to ensure that these contextual variables correspond as closely as possible to the year in which the Add Health respondents were interviewed at Wave III (2001)

Wave III College Mobility Data Documentation

At Wave III of the Add Health survey, respondents were asked if they were currently enrolled in a postsecondary institution. Respondents who answered in the affirmative were then asked to report the institution in which they were currently enrolled. Using this information on current enrollment, data from the Mobility Report Card: The Role of Colleges in Intergenerational Mobility (Chetty 2017) were linked to the Add Health respondents. For variables C4CMR01-C4CMR11M, data came from the Preferred Estimates of Access and Mobility by College dataset (Chetty et al. 2017). These data were collected from a sample of college students who were born between 1980 and 1982 and who attended a college or university in the early 2000’s. These students were between the ages of 19 and 22 at the time of their entry into college. Further information on how the original researchers collected the data for these variables can be found here: http://www.equality-of-opportunity.org/data/college/Codebook%20MRC%20Table%201.pdf For variables C3FIN01-C3MAJ08, Chetty and colleagues drew these data from the Integrated Postsecondary Education Data System (IPEDS). Information for each of these variables were collected for the years 2000 and 2013 (unless otherwise stated). For all variables there were some instances where colleges were grouped together, for instance when multiple colleges made up a State University-System. For these colleges, data values for the variables are enrollment-weighted means of the underlying values for each of the colleges being grouped together. Though the variables available on the College Mobility data at Wave III are the same as those on the College Mobility data at Wave IV, the way in which respondents were asked to self-report college or university attendance was different between the two waves, and interpretation of these contextual data is slightly different as a result. At Wave III, respondents were asked to report if they were currently enrolled in a college of university, and information on the institution in which they were currently enrolled was collected. Information on institutions was collected regardless of the degree that the respondent was currently seeking. At Wave IV, respondents were asked to report the name of the college or university from which they received a degree. Additionally, this question was only asked if respondents reported receiving a bachelor’s degree. See “Documentation for College Mobility Data: Wave IV” (Gaydosh et al. 2019) for more information on linked college- and university-level data for this wave. In addition to the data available here, previously created contextual data on Wave III postsecondary institutions is also available. See “Wave III Education Data: Postsecondary Contextual Component Codebook” (Riegel-Crumb et al. 2008) for further information

Wave IV County Health and Mobility Data Documentation

The following is a list of data that were collected from secondary data sources and merged to Wave IV of Add Health. These variables are available at the county or state level. Data was matched to the county or state that the Add Health respondent was living in at the time of the Wave IV interview and data was matched to respondents so as to insure that these contextual variables correspond as closely as possible to the year in which the Add Health respondents were interviewed at Wave IV (2008)

Wave II Tobacco Tax Data Documentation

These data are meant to supplement the County Health and Mobility Data available for Waves I & IV1. Tobacco tax information is at the state level. Data were matched to the state that the Add Health respondent was living in at the time of the Wave II interview. Data were matched to respondents so as to ensure that these contextual variables correspond as closely as possible to the year in which the Add Health respondents were interviewed at Wave II (1996)

Wave I County Health, Mobility, and Tobacco Tax Data Documentation

The following is a list of data that were collected from secondary data sources and merged to Wave I of Add Health. These variables are available at the county or state level. Data were matched to the county or state that the Add Health respondent was living in at the time of the Wave I interview. Data were matched to respondents so as to ensure that these contextual variables correspond as closely as possible to the year in which the Add Health respondents were interviewed at Wave I (1994/1995)