2.4. Content analysis criteria
When developing the methodology for analyzing astronauts’ communication, we proceeded from the premise that even despite the subjective control over their conversations with the MCC, which, as the astronauts know, are recorded and transmitted through several communication channels (including the Internet), they communicate quite freely - and therefore we can identify significant diagnostic information about their psycho-emotional state using speech analysis.
Quantitative content analysis was used to analyze the astronaut’s speech. Content analysis is a systematic, reproducible method of reducing an array of text into a limited number of categories using predefined scientifically grounded coding rules [
2,
3]. The unit of communication analysis that we used is a statement expressing a complete thought [
4].
The system of content analysis categories was developed on the basis of R. Lazarus and S. Folkman’s stress coping approach [
5] and its application to astronauts’ speech content analysis by P. Suedfeld [
6,
7]. These categories are arranged in accordance with B. Lomov’s theory about main functions of communication in professional performance [
8]. Describing stress coping strategies, R. Lazarus and S. Folkman point to the wide range of resources which people utilize to cope, including external ones, e.g. instrumental and social support, and internal ones, e.g. self-regulation, motivation, social and professional skills. These strategies target problem solving or emotional regulation under stress. P. Suedfeld who analyzed the content of astronauts’ diaries and interviews, confirmed that participation in space flight requires utilization of coping strategies in order to withstand stress caused by deficit of instrumental and social resources [
6,
7]. In our research we added some strategies proposed by Suedfeld et al. (e.g., Endurance/Obedience and Humor) [
6,
7,
10] to Lazarus & Folkman’s list of copings.
According to B. Lomov, communication of human operator implements three main functions: 1) informing or data exchange; 2) social regulation and social roles distribution (subordination); 3) affective function, related to expression of emotions. We support the author’s idea that in the professional communication, i.e. in the crew-MCC talks, the mutual informing, exchange of data, planning, initiative and recommendations should dominate over expressions of social regulation and emotions. According to our initial hypothesis, later confirmed by the obtained results [
10,
11], an increase in the number of statements aimed at social interaction in the crew talks with the MCC, combined with an increase in emotionally charged statements, indicate rising levels of psychological stress. Depending on these theoretical approaches and data from space simulations, we defined semantic indicators that allowed experts to attribute statements to the communicative functions (informing, social regulation, affective) that they execute in the talks.
Thus, starting in 2000 from the Bales method [
12], the ideas of Lazarus and Lomov and consistently modifying it during long-term isolation experiments (SFINCSS’99, Mars 105, Mars 500: [
13,
14]), the team of authors approached the beginning of the “Content” experiment with a methodology [
1] that required clarification of the content analysis method based on the specific features of work activities in space. For this purpose, a pilot study was conducted with the participation of American colleagues [
15]. As a result, seven additional operational categories related to inflight data exchange (
Informing, Problem, Initiative, Effort, Claim/Complaint, Positive/negative emotions, Trust/Mistrust) were added by the Russian MCC experts in order to target professional communication during problem-solving more precisely [
1].
Further on, independent experts divided the whole corpus of astronauts’ statements in accordance with the expressed need in information exchange for problem solving and stress coping. By effective communication we mean statements, where the evident need for information exchange is expressed, when the subject intends to use it for active resolution of the existing problem causing stress. By maladaptive statements (strategies) we mean those in which the subject is trying to avoid contact or open information exchange, as well as responsibility for problem resolution. Ambivalent statements do not contain coping expressions.
In order to neutralize the influence of communication amount (subject’s “talkativeness”) on the results of content analysis, the unit of reference is not the number of words spoken, but the statement: a fully expressed idea [
4]. Based on this, the statement can consist of several words, and of several sentences. Thus, the final set of 25 categories that we used to analyze communication includes not only coping strategies, but also categories reflecting the functions of communication and the specifics of communication between astronauts and MCC specialists (
Table 1).
To interpret the content analysis data, we also used the weekly psychological reports of the MCC and the post-flight interviews’ data. The content analysis data was compared with the results of the weekly psychological conclusions of the MCC psychological monitoring group [
11].
Since another objective of the study was to study the personality-based, stable communication styles of astronauts, we needed to develop an appropriate methodological approach. We based on the classification of communication parameters within communication styles upon V. Satir’s concept. She observed that people tend to react to stress and threats to their self-esteem with one of four different defensive communication styles [
16,
17]. It was the perceived lack of trust, rejection of their position by Earth specialists described as the main problem of communication with the MCC by astronauts and astronauts earlier in post-flight interviews [
18,
19]. The Satir model corresponds to B.F. Lomov’s concept of the three functions of communication, which we rely on in the analysis. Satir considered the stylistic features of communication in the light of information exchange: how much a certain style helps to solve problems, improves or complicates the transmission of information (the communicative function according to B.F. Lomov [
8]) - or, on the contrary, replaces effective interaction by discussing relationships (B.F. Lomov’s function of social regulation) and experienced emotions (affective function).
V. Satir identified five styles of communication in a closed loop of communication. We proceeded from the fact that those who use the distractor style are preliminarily screened out during psychological selection procedures for the astronauts corps. The leveling style, in our opinion, would be a desired standard of space communication and would not be for communicative behavior in an extreme situation. Therefore, three main styles were seeked for and analyzed - blaming, computing and placating.
Blamer is critical, complaining and a fault-finder, angry because they anticipate not getting their needs met. Their learned defence for this is to go on the offensive. Blamer behavior finds fault while having trouble accepting responsibility. Blamers are more likely to initiate conflict. Placaters are non-assertive, never disagreeing, and seeking approval. They avoid conflict. Their main concern is how other people perceive them. Computer (super-reasonable) is cool, calm and collected but displaying no emotion, masking a feeling of vulnerability. They expect people to perform efficiently and conform to the rules.
According to Satir’s description, we highlighted communication attitudes and coping strategies that might manifest in communication in each group. We asked experienced experts from Russian MCC (four psychologists), not involved in our content analysis experiment, but for years participating in astronauts’ inflight monitoring, to get acquainted with Satir’s communication model. Afterwards they were asked to classify astronauts, who participated in “Content” experiment (N = 15) onto those who mostly used blaming, placating and computing, relying on their subjective estimation and experience. Then “Content” coders’ group, who didn’t know the results of these estimations, made” blind” content analysis of the subjects’ inflight talks during days with standard and intensive workload to identify the profile of dominating coping strategies (style) for each subject. Thus, we obtained an accordance between the astronauts and communications styles: in the analyzed group of 14 astronauts, 6 were attributed with “blaming” style, 5 with “computing” style, 3 with “placating” style. Further comparison in the type of dominating coping strategies was made between the groups. In our previous studies, we showed that one of the three Satir styles (“computing”, “blaming”, “placating”) usually dominates in a astronaut’s speech [
10].
For our study, we chose the V. Satir’s classical communication model (1972) for three main reasons. Firstly, the model identifies main communicative characteristics of a person in a stressful situation – and we study the communicative behavior of astronauts under the influence of stress factors of long-term space flight. Secondly, V. Satir’s model corresponds to the B.F. Lomov’s concept on the three functions of communication, which we rely on in the analysis. V. Satir examined the stylistic features of communication through the information exchange: how does a style help to solve problems, improves or complicates the flow of information (this corresponds to the communicative function concept according to B.F. Lomov [
8]) - or, on the contrary, replaces and effective interaction with discussion on relationships (social regulation function) and experienced emotions (affective function). Finally, taking into account the prospects for using the methodology in standard MCC practice, V. Satir’s classification is attractive for its simplicity and practicality: it is easy to understand, remember, recognize and apply. As a practicing psychotherapist, V. Satir built this model to diagnose communication patterns in families associated with the experience of stress and requiring correction.
This content analysis method was also successfully used to study the crew-MCC communications in a series of IBMP-based model experiments (SIRIUS) [
20].