Usually, semistructured interviews are conducted face-to-face, and because of the importance of personal contact in qualitative interviews, telephone interviews are often discounted. Missing visual communication can make a telephone conversation appear less personal and more anonymous but can also help prevent some distortions and place the power imbalance between adult interviewer and (child) respondent into perspective. In this article telephone and face-to-face interviews are compared in order to analyse the general applicability of telephone interviews and their peculiarities when researching children. The data consists of 112 semistructured interviews with 56 children aged 5, 7, 9 and 11, conducted in Germany. Each child was interviewed twice; once on the telephone and once face-to-face. By triangulating qualitative and quantitative analytical steps, both interview modes are compared from a number of perspectives. The results showed very little difference between the two modes of interview and therefore challenge the reluctance to conduct semistructured telephone interviews, both in qualitative research and with children. Dependent on the research question, relevant distinctions could be the lower interviewer involvement, the lower number of opinions and suggestions stated by respondents and fewer signs of tension and tension release in telephone interviews.

Multiple perspective interviews (MPIs) involve interviewing members of a social group separately and triangulating their accounts during analysis to gain insights into the functioning of such groups (e.g. families). So far, there has been little engagement with the specific challenges of MPI research during the analysis, particularly with dissonant data. To illustrate the importance of this aspect, we draw on the triangulation metaphor and related epistemological and ontological perspectives, which determine analytic choices and thus yield different forms of knowledge. We show how triangulating perspectives can extend individual-level results, but also how researchers should go beyond a descriptive level of analysis for convergent and dissonant accounts to realize the potential of MPIs. Convergence should not be assumed too hastily, yet, there might be dissonance that cannot be resolved. (Self-)reflection on epistemological views, interpretive practice, and the purpose of MPI as well as their interrelation can increase the strengths of MPI approaches ARTICLE HISTORY

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Collecting multiple perspectives data (e.g. from related individuals) in a qualitative longitudinal design can provide rich understanding of the dynamics at play in complex relational systems, and the different perceptions of people involved. However, such approaches are inherently challenging due to the complexity and volume of data involved. So far, little attention has been paid to the methodological challenges of data analysis in multiple perspectives longitudinal research. This paper contributes to the development of a systematized analysis process for multiple perspectives qualitative longitudinal interviews (MPQLI). We present a framework for handling the complexity and multi-dimensionality of MPQLI, describing discrete steps in such analyses, and related aims and insights. We exemplify the suggested strategies with our own research on the transition to parenthood. The proposed framework can increase both traceability and credibility of analysis of MPQLI, and help to realize the potential of multiple perspectives longitudinal interviews.

The challenge in data analysis often lies in accounting for the multidimensionality and complexity of the data while simultaneously discovering patterns. Integrating and consolidating different types of data during analysis can broaden the perspective and permit obtaining complementary views. This methodological research study on data collection illustrates how one type of data collection generates different types of data, which can be linked and consolidated to reach a better understanding of the topic. Procedures and practicalities are illustrated to offer a good practice example for data integration and consolidation. With the methodological reflection of research practice, I evaluate the consequences for the field of mixed methods research, in which the practicalities of an integrated mixed analysis still need to be elaborated.