This study examines the role of social desirability response set on the report of marital adjustment, child adjustment, and parenting attitudes. Results from 69 married couples closely replicate previous self-report findings suggesting that the more positive the report of marital adjustment, the fewer the number of child problem behaviors endorsed by parents (r = -.19(69), p less than .05). When social desirability is controlled, however, the marital-child adjustment relationship is nonsignificant. Previous reports of a global relationship between marital and child adjustment may have been inflated by individual differences in willingness to endorse problems on self-report measures. Parenting attitudes are not associated with social desirability or marital adjustment. Warmth, but not authoritarianism, is negatively correlated with child behavior problems in the home (r = -.25(69), p less than .01). The authors propose that family interaction research use a multimethod strategy to focus on circumscribed variables that influence marital and parenting behavior.

the terms of the Creative Commons-AttributionNoncommercial-Share Alike License 4.0 International (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly attributed, not used for commercial purposes, and, if transformed, the resulting work is redistributed under the same or similar license to this one. AbstractObjective -Measures of trends in Iowa State University library website visits per student/faculty/staff headcount show decreased use. Analysis was conducted to test for a relationship between this decrease and decreasing graduate/undergraduate enrollment ratios and decreasing visits to a popular digital collection. The purpose was to measure the influence of these factors and to produce an adjusted measure of trend which accounts for these factors.Methods -Website transaction log data and enrollment data were modelled with Box and Jenkins time series analysis methods (regression with ARMA errors).Results -A declining graduate to undergraduate enrollment ratio at Iowa State University explained 23% of the innovation variance of library website visits per headcount over the study period, while visits to a popular digital collection also declined, explaining 34% of the innovation variance. Rolling windows analysis showed that the effect of the graduate/undergraduate ratio increased over the study period, while the effect of digital collection visits decreased. In addition, estimates of website usage by graduate students and undergraduates, after accounting for other factors, matched estimates from a survey.Conclusion -A rolling windows metric of mean change adjusted for changes in demographics and other factors allows for a fairer comparison of year-to-year website usage, while also Evidence Based Library and Information Practice 2016, 11.1 5 measuring the change in influence of these factors. Adjusting for these influences provides a baseline for studying the effect of interventions, such as website design changes. Box-Jenkins methods of analysis for time series data can provide a more accurate measure than ordinary regression, demonstrated by estimating undergraduate and graduate website usage to corroborate survey data. While overall website usage is decreasing, it is not clear it is decreasing for all groups. Inferences were made about demographic groups with data that is not tied to individuals, thus alleviating privacy concerns.

To better understand the library's role in student success, this research used student survey data to explore students' reported library building use, library resource use, library instruction, as well as student perceptions of the library's role in their success, and how these factors may vary by academic discipline. Cumulative GPAs were also matched with respondents. Quantifying the relationship between library usage and student success is one of the six areas recommended for further research by ACRL. This study focuses on the variation and the uncertainty of the measurement of this relationship across disciplines, using Bayesian multilevel regression methods. Levels of library resource usage and percentages of respondents believing the library contributes very much to the respondents' academic success vary quite a bit by discipline. In this study, cumulative GPA is higher on average for students who use library resources more frequently, but not for students who receive library instruction. Although, for undergraduates, higher frequency of building usage predicted higher probability of believing the library contributes very much to academic success, it did not predict higher GPA.

In the busy world of academic research library assessment work, can simple and easy-to-use outcome-based assessment tools contribute in meaningful and actionable ways to library decision-making? This was the question at the center of a project conducted by staff in the Iowa State University (ISU) Library’s Assessment and Planning unit as part of the library’s participation in the ARL Research Library Impact Framework initiative. The ISU project was done in support of the ARL research question, “How do library spaces facilitate innovative research, creative thinking, and problem-solving?” The ISU research project was based on the use of the Association of College and Research Libraries (ACRL) Project Outcome for Academic Libraries survey tool. In the ISU project, data was collected and analyzed using the Project Outcome spaces survey, once every semester, from the fall of 2018 through the fall of 2021. The ISU project was designed to identify benefits of the Project Outcome survey through the hands-on use of the Project Outcome tool kit and to share those findings. This practice brief also provides information on how to use Project Outcome. A goal of the project was to support and encourage other ARL libraries in their own use of the Project Outcome resources.