2. PROBLEMATIZACIÓN SOBRE LA NOCIÓN Y ALCANCE DE LA DIVERSIDAD CULTURAL
2.1 ACLARACIONES PRELIMINARES
2.1.1 Sobre diversidad cultural
2.1.1.1 Fuentes de diversidad o pluralismo cultural desde la perspectiva de Will Kymlicka
The third concept, ‘attitude’, can be harder to uncover and express. The more detailed investigation concentrated on the definition of attitude, how attitudes influence behaviour, and how they are measured. There is much interest in research in trying to understand which methods are the most appropriate to measure attitudes, how they are developed and how they can be changed (Cooper, Blackman, & Keller, 2016; Maio & Haddock, 2014).
3.4.3.1 Definition of attitude
Fazio (1995, p.247) stated that attitude is ‘an association in memory between a given object and a given summary evaluation of the object’. A similar view is offered by Maio and Haddock (2014, p.4), who describe the basic characteristic of attitude as ‘an association in memory between an attitude object and an evaluation of it’. They continue saying that ‘attitude is an overall evaluation of an object that is based on cognitive, affective and behavioural information’. Each of these definitions include an aspect of evaluation of the object, and making a judgement
of like or dislike. This knowledge assisted designing the interview questions about attitude; participants were asked whether they had more positive or negative thoughts about the topics discussed, e.g. interRAI training or AIS assessments (Appendix 4).
3.4.3.2 Attitudes and behaviour
Attitudes influence people’s view of the world, what we think and what we do (Maio & Haddock, 2014); our thoughts, feelings and experiences are seen to form our attitudes. Attitudes cannot be directly observed, they can only be concluded by a person’s responses (Fazio & Olson, 2003). Attitudes are generally believed to affect our behaviour, although some research findings have disputed this. Recent studies showed that attitudes may predict behaviour more strongly in some conditions than others, depending on such factors as time, place, and the social groups we belong to (Ajzen, 2015; Eiser & van der Pligt, 2015).
Fishbein and Ajzen’s Theory of Reasoned Action (Fishbein & Ajzen, 2015) recognises that there are situations or factors that limit the influence of attitude on behavior. In relation to the interRAI study, an example would be that the RN has a positive intent towards completing an assessment, but does not have the time to complete it, therefore the attitude varies from the actual behavior.
The Theory of Reasoned Action includes two elements that predict behavior intent: attitudes and norms. It recognizes that others’ conflicting expectations can influence a person’s behaviour intent. For example, the RN wants to learn a new skill to improve their career and gain interRAI competency, but their colleagues
say that the tool is very difficult to use. These conflicting attitudes would make the RN’s decision to attend the training more challenging.
The Theory of Reasoned Action states that three factors influence how much behavioral intent affects our actual behaviour. Firstly, we must have control over our behaviour. For example, if there are no computers available, the RN is not able to complete an assessment whether they want to do it or not. Secondly, there must be a high correspondence between measures of attitude and behaviour. For example, the interview questions relating to behaviour should be very specific: Instead of asking “Do you think interRAI is useful?” the question should be “In what way do you think interRAI is useful to the resident or to you personally?” It is possible that the RN thinks that the interRAI is useful to the resident but not for themself. Thirdly, attitudes change over time. Therefore, behavioral intent and behavior should be measured at the same time to ensure that they relate (Ajzen, 2015).
3.4.3.3 Measuring attitudes
The current consensus is that attitudes reflect how much we like or dislike something. Attitudes differ in valence (the direction of person’s evaluation towards negative or positive) and strength (Maio et al., 2014). The question arises: how can attitudes be measured? Two of the most well known pioneers in attitude research, Louis Thurstone and Rensis Likert, were able to demonstrate that attitudes can be quantifiably measured. Thurstone (1928) developed the Equal Appearing Intervals method (EAI), and this idea was developed and simplified by Likert (1932), who
developed Likert scales. Likert scales are still widely used to scale responses and to measure attitudes in survey research (Johnson & Morgan, 2016).
Attitudes can be explicit or implicit (Maio et al., 2014). Explicit processes require conscious attention, while implicit processes do not (Maio et al., 2014). In relation to attitude measurement, this means how much the participant is aware that their attitudes are being assessed. When using explicit measures in research, the participant is asked directly about their attitude towards something. Implicit measures, however, measure participants’ attitudes without their awareness of the fact that their attitude is being assessed (Maio et al., 2014).
Explicit measures, such as Likert scales, are regarded as useful in research. However, there are some limitations that the researcher must be aware of. One limitation might be that the participant is not actually aware of their underlying attitude about the topic (Altmann, 2008; Petty, Fazio, & Brinol, 2009). Another consideration that may affect a participant’s response can be as simple as the order in which the questions are asked (Silber, Höhne, & Schlosser, 2016). Awareness of other people’s opinions can also alter a participant’s stated opinion (Olson, Goffin, & Haynes, 2007). These issues must be considered in both qualitative and quantitative research.
One of the greatest challenges that a researcher must take into account is that sometimes the participants may not be honest with their answers relating to their attitudes (Altmann, 2008; Paulhus & John, 1998). Paulhus and John (1998, p.1029) talk about ‘impression management’. Participants may want to impress the
researcher by giving more positive responses than what their reality is, feeling they have to meet a certain societal norm, or in this study, professional standard. For example, as interRAI-‐LTCF is already a compulsory requirement in every ARCF in NZ, the RNs may feel they should be more positive about it, or at least they should say that they feel positive even though they may not. They may also feel obliged to say positive things about the company and how well they are keeping up with the standards and completing the interRAI-‐LTCF assessments.
One method to increase reliability in the study would be interviewing many respondents from the same facility in the hope that the ‘truth’ prevails, although one must bear in mind that the truth is subjective to each individual (Sandelowski, 1996). Another method to obtain more reliable data is triangulation i.e. using multiple data sources to confirm what is actually happening (Holloway & Wheeler, 2016). Triangulation in a qualitative study can be achieved by comparing voiced attitudes to behaviour (e.g. by checking the interRAI data). In this study, however, the main goal was to find out about RNs’ perceptions of their experiences. Therefore, ensuring participants’ answers were kept strictly confidential, having rapport between interviewer and participant, and emphasising the benefit of open disclosure was believed to encourage the participants to give sincere responses (Seidman, 2013).