guide to online dating: The key reason why ‘m we being contacted by lions with paid dating sites – iTechQueen

A total of 16 questions were generated for the interview guide (see Appendix 8.1 Interview guide). Five questions relate to the motivation of the user, another five questions focus on self-portrayal and a further six questions reveal user behavior.

An audio recording was used to document the interviews. This gave the interviewer the opportunity to pay maximum attention to the subject, as he did not have to turn away from the subject to take notes. In addition, the audio recording ensured the natural flow of the conversation, as noting the answers can disrupt the interaction between the interviewer and the test subject.

The aim was to create a relaxed conversation situation and thus enable the interlocutor to express his experiences and ideas in a way he is used to. At the beginning of the conversation, the interviewer gave instructions by first presenting the process. Then there was the opportunity to clarify open questions. All interviews were recorded using the “Audio Recorder” smartphone app, and the test person’s consent was asked for. In the final segment, the interview was carried out on the basis of the guidelines presented.

All surveys took place at different locations, including the technical college, the beer garden or the participants’ apartments. At the outset, it was pointed out that you should express yourself honestly and impartially and that you should not fear any evaluation or criticism. In addition, it was advised that all data will be treated confidentially and anonymously. The researcher conveyed interest in the subject of the conversation as well as in the conversation partner and tried to put his own attitude to the research topic aside.

Depending on the conversational nature of the interviewees, there were short and longer interviews (Table 1. Overview of the participants from the interviews). The initial, slight tension in the majority of the test subjects subsided within the first few minutes. In the further course, a pleasant conversation quickly emerged, so that some interviewees slightly deviated from the original question when answering. However, the researcher was always able to steer the conversation back in the appropriate direction by asking questions. At no point did you feel uncomfortable or ashamed, for example with the questions: “Have you ever been asked about sex in Tinder chat?” Or “Would you call Tinder a sex dating app?”.

The interviews were made in May 2016. The names and other data that would have made it possible to draw conclusions about the identity of the interviewees were anonymized accordingly. The total of twelve interviews lasted around 16 minutes on average, so that the study is based on data from over three hours (Table 1. Overview of the participants from the interviews).

The entire audio recording was transcribed for each individual interview. This includes both the interviewer’s questions and the test person’s statements. All statements that are relevant to answering the research question were taken into account. The content of the statements in this thesis is sufficient to capture the motives, self-portrayal and behavior of the users. The form of expression, i.e. paraverbal and non-verbal elements, was dispensed with in order not to impair legibility through symbols or phonetic spelling. Each transcript follows the same structure and begins with information on the participant number (e.g. T1), gender, date and time. In the next step, each line of text was numbered in order to be able to refer to a specific text passage in the evaluation. The abbreviation I is used for interviewer and the abbreviations T1, T2 etc. for the participant. An extract from a transcript is illustrated in FIG. 4.

The qualitative content analysis according to Mayring is a method for systematic text analysis. The basic idea is to preserve the advantages of quantitative content analysis and transfer them to qualitative-interpretative evaluation steps and develop them further (cf. Mayring, Qualitative Content Analysis, 2015, pp. 12-14).

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