1. Using Cognitive Interviews to Develop Social Network Questions for Higher Education Research
- Author
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Society for Research on Educational Effectiveness (SREE), Melissa Herman, and Hoori Santikian Kalamkarian
- Abstract
Background/Context: Social network analysis has been used to demonstrate an association between individuals' relationships and their engagement in areas such as public health (Perry & Pescosolido, 2015) and teacher professional development (Penuel, 2009). We extend and apply this approach to the higher education context. We operationalize network questionnaires by studying the personal networks of first-generation college students (FGCS) and the relationship between their network composition and their use of campus services. The FGCS population is an ideal population for this study given how little we know about how these students build relationships and utilize support networks to cope with the unique challenges they face in entering college without the resources associated with having college-educated parents (Pike & Kuh, 2005; Cataldi et al., 2018). Purpose/Objective/Research Question: In this paper, we describe how we developed an instrument to explore FGCS's social networks by modifying the General Social Survey (GSS), a commonly used social network questionnaire. We detail the cognitive interview process we utilized to inform our decisions about our survey language and parameters. By outlining this process, our paper provides a guide for cognitive interviewing that can be applied to other survey instruments. Our paper also provides feedback on the GSS and guidance on modifying this question for a higher education audience. Setting: Cognitive interviews and, subsequently, full-scale survey administration took place at two California Community College campuses and two California State University campuses. Each of these colleges is designated as a Hispanic-serving institution and also serves significant numbers of FGCSs. Population/Participants/Subjects: For cognitive interviews, we recruited FGCS who already had completed 30 or more credits, ensuring that those who participate in cognitive interviews would not be in our subsequent study focused on first-year students. We conducted a total of 17 cognitive interviews across our four partner colleges. Research Design: In order to develop and validate our social network questions, we used a three-phased set of cognitive interviews. Cognitive interviews were developed as a tool for identifying and correcting sources of errors within survey questions (Willis, 2004). As a method, they assist the researcher in learning whether a question as stated is asking what the researcher thinks is being asked and whether specific words and phrases will be interpreted by respondents in the way the researcher expects. We used a "think-aloud interview" style recommended by Desimone & Le Floch (2004). Students were asked to talk through aloud how they understood the question, any concerns they had about answering the question and whether any of the words or phrases were confusing. The interviews use scripted verbal probes to examine the wording, ordering, and format of the items. Data Collection: We collected data in three phases. In the first phase, we asked respondents for feedback on four name generator questions (each one a different modification of the GSS). In phase two, we edited the name generator questions based on feedback from phase one and piloted the edited versions along with name interpreter questions. In phase three, we tested the final versions of the name generators and modified versions of the name interpreter questions. We conducted the interviews online using a PowerPoint presentation. Students were asked to read the full item and respond to the questions using the Zoom chat feature. Data Analysis: We analyzed the data collected at the end of each phase. We met as a team and used interview notes, recordings, and reflection memos to look for themes within the students' responses to determine what language needed modification in order for the wording to reflect the intended question. Findings/Results: In phase one, we learned that students interpreted "important matters" (a commonly used phrase in the GSS) broadly as big events that could be personal, college-related or work related, making it difficult to answer. Instead, students advised making the question context-specific. Therefore, we eliminated the versions of the name generators that referred to important matters generally and focused on the two questions that addressed a college-related scenario. Some respondents indicated that they reached out to college staff for help and that they did not receive the help that they were looking for, but with the original wording ("from whom you have received help") they did not think they could include these individuals. Based on this feedback, we modified the language to "turn to", which encompasses individuals from whom respondents sought support, but who were not helpful. In phase two, we found that students were more likely to include the relevant college staff from the two name generators that were specific to student challenges in the context of college. We also learned that students were able to answer these questions more easily when the relevant challenges were made salient by reflecting on the types of challenges they faced in college prior to answering the network questions. Therefore, we finalized two name generator questions, one for who they turned to for academic challenges and another for who they turned to for non-academic challenges. Before answering each of those name generator questions, they answered a priming question about the challenges they faced that year during college. Respondents also provided feedback on name interpreters, recommending additional categories for types of individuals from whom they sought support. We finalized the name generator and interpreter questions after a final assessment in phase three. Conclusions: In his book on using the GSS for social network analysis, Small (2017) found that using the GSS to elicit graduate students' core discussion networks often did not elicit the people that they spoke to recently about school or personal challenges. Our experience modifying the GSS for first-generation college students builds on Small's feedback on the GSS offering specific modifications to this commonly used instrument to visualize support networks in a higher education context. Moreover, the student feedback that we share can inform other studies exploring academic and non-academic support systems, such as demonstrating the importance of priming students, especially in an increasingly remote educational environment, to think about their college student identity before answering questions about the college context.
- Published
- 2024