Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of correctly matching participants across waves of data collection. A number of methods have been proposed for using nonidentifying codes to match anonymous participants; however, currently there is no consensus on the most effective method. This article reviews and analyzes the literature on nonidentifying codes and provides recommendations for researchers interested in using these types of codes in conducting anonymous longitudinal studies.

The present systematic review analyzes ways in which empirical studies in the field of school psychology have studied the experiences of lesbian, gay, bisexual, transgender, and queer (LGBTQ) students in the past decade (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019). Results from 23 studies revealed an overrepresentation of quantitative studies conducted mostly in the United States and an over-representation of majority White, cisgender, and high school participants across studies. Results also showed that studies in the last decade have: (a) focused on exploring negative attitudes and behaviors toward LGBTQ students and the outcomes of these attitudes and behaviors, (b) provided direction on how to support LGBTQ students in schools, and (c) analyzed the effects of bystanders and perpetrators on the well-being of LGBTQ students. In addition, this review revealed ways in which studies in school psychology journals present prevention and intervention practices for creating a safe environment for LGBTQ students, including: (a) policies that focus on the inclusion and protection of LGBTQ students, References marked with an asterisk (*) indicate studies included in the review. (b) training for faculty and other school staff to promoteLGBTQ students' safety, and (c) curriculum and extracurricular activities that address LGBTQ issues. We provide recommendations for improving the experiences ofLGBTQ students in schools such as involving community stakeholders in drafting affirming policies.

Given that qualitative and mixed methods have been used to address social justice issues, counseling psychologists have been drawn to these research designs to advance knowledge in the field. However, qualitative and mixed methods are rarely used in counseling psychology to examine the experiences of LGBTQ individuals. This content analysis reviewed all qualitative and mixed methods studies conducted with LGBTQ individuals between 2009 and 2019 in three leading counseling psychology journals. Results from 24 studies revealed: (a) an increase in LGBTQ-related topics; (b) an overreliance in grounded theory as a research design, diverse analytical approaches, overreliance on semi-structure interviews, and increased disclosure of reflexivity and trustworthiness; and (c) an overwhelming representation of White, cisgender, gay and lesbian, middle class, college educated, English-speaking, Christian, mainland United States residents. We pose a call to action for the next decade of qualitative and mixed methods research with LGBTQ individuals in counseling psychology.

For many reasons, researchers place their data in multiple electronic datasets and later find that they wish to combine those datasets for a particular analysis. This article reports on an analysis of the extant literature on combining complex datasets and provides both a tutorial and related syntax that combines non-matching datasets (i.e., from different sources) in such a way that all data is contained in the final combined dataset with identification of data source. This syntax represents an improvement over the existing SPSS (v23-v27) combining dataset routines in terms of 1) expanding the types of datasets that can be combined, 2) completeness of the resulting dataset, and 3) facilitating management of multiple and/or divergent data sets. An additional benefit of using this process is the incorporation of a method to test the accuracy of the merged data and thus verify the data quality The SPSS syntax along with instructions and examples are reviewed in the article. Keywords: SPSS, syntax, datasets, merging, longitudinal data

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