TPC Journal V7, Issue 3 - FULL ISSUE

The Professional Counselor | Volume 7, Issue 3 213 occurrence in post-institutionalized children and its intertwined relationships with children’s nurturing environments (APA, 1994, 2013). A mixed methods study provides a better understanding of a complex phenomenon than either a single qualitative or quantitative study (Creswell, 2013). Specifically, this study utilized a sequential mixed methods design to explore Chinese adoptees’ IF within their real-life context. It comprised a two-part process, with an initial case study exploring four Chinese adoptees’ experiences of IF and a further quantitative investigation following the propositions generated from the case study. The authors consider a qualitative case study appropriate because a case study is a robust empirical approach investigating a case unit in its real-world context (Yin, 2014). The case unit includes, but is not limited to, an individual, a group, a family, a geographic region, or a particular phenomenon that is worthy of thorough investigation. It is considered an ideal methodology when “how” or “why” research questions are asked (Yin, 2014). The case unit for this study is the four Chinese adoptees’ experiences of IF. Yin (2014) defined a proposition as an essential component within a case study, guiding data collection and analysis to avoid superfluous information. Propositions are generated through literature review and/or experiences of the researchers and/or participants (Yin, 2014). The propositions from the qualitative case study guided the quantitative investigation. Both types of findings were triangulated and integrated in the Results section (Plano-Clark et al., 2008). Procedures Trustworthiness. Researcher reflexivity, peer debriefing, and data triangulation ensured the trustworthiness of the qualitative case study (Hunt, 2011). The authors attained researcher reflexivity through examining and suspending personal beliefs (Hunt, 2011). Qualitative data in this study were triangulated through quantitative data (Leech & Onwuegbuzie, 2010). One procedure to ensure the trustworthiness of case study methodology is to incorporate data from multiple sources (Yin, 2014). Data from the two semi-structured interviews served as the primary data source, and memo writing by the first author offered a supplemental data source. Memo writing was a documentation of the researcher’s reflections or reactions while reviewing the raw interview transcripts (Creswell, 2013). The qualitative data were transcribed by the first author and were independently analyzed by the first, second, and third authors. All three authors then thoroughly reviewed each other’s coding and reached a consensus on data categorization. An expert in adoption research served as the external reviewer of the qualitative results to ensure that data interpretations were reasonable. Data Analysis . The authors followed the recommended data analysis strategy of pattern matching (Yin, 2014). Synthesizing the current literature and information pertaining to participants’ experiences, the research team generated five propositions: (a) children immediately bonded with adoptive parents soon after adoption; (b) children initiated IF behaviors to newly met adults; (c) children responded to affectionate behaviors by newly met adults; (d) age, institutionalization, and adoptive parents’ love/ responsive parenting were potentially associated with children’s IF behaviors; and (e) there was no clear conclusion on whether children’s IF was related to their attachment to parents, which warranted a further examination of the IF–attachment relationship. Each of the authors used the propositions to organize raw data, perform coding and data reduction, and categorize meaningful units (Creswell, 2013). The authors carefully examined all meaning units and performed pattern matching to link the meaningful data units with the propositions (Yin, 2014). Full descriptions were provided on each of the propositions with supportive data from the two in- depth interviews. The researchers analyzed the quantitative data using SPSS Statistics 20. Researchers conducted univariate, bivariate, and multiple regression analyses on the quantitative dataset, examining potential factors associated with IF, as well as the IF–attachment relationship.