The absolute most identifications (indifferent of intercourse, age otherwise industry) was in fact feeling and you can actions-relevant

The absolute most identifications (indifferent of intercourse, age otherwise industry) was in fact feeling and you can actions-relevant

We have applied new unlock programming (the first procedure for the newest theoretic coding – look for Strauss and you will Corbin, 1990) of the received procedure collection the text-removed codes in kinds. I’ve acquired, hence, a list from 330 codes (we.e. character methods: committed, sincere, fearless, an such like.). There lead, too, 26 classes, particular even which have subcategories. I’ve hence knew an enthusiastic axial coding comprising four axial kinds: real faculties, social statuses and you can spots, emotions and you may behaviours, and you may conceptual things. That way, brand new lightweight research, represented in the shape of a chart, grabbed the form regarding a forest. Like, the fresh axial classification – identity which have statuses and positions – got the subcategories: the new sex group, household members statuses, interactional statuses, top-notch statuses, spiritual statuses, and finally, neighborhood statuses. After that, some of these subcategories got their unique subcategories. Such as for example, friends statuses: members of the family jobs while the marital condition; or elite statuses: standing and community. And below every one of these subcategories it’s possible to get the requirements (the absolute most reproducing exactly the terms and conditions of your own responders). New central category or even the nucleus category to which I linked (due to selective benaughty UЕѕivatelskГ© jmГ©no coding) most of the axial kinds making use of their subcategories and you may requirements are Personality.

Right down to using the theoretical programming You will find experimented with the development of theoretic statements as a consequence of logical comparisons amongst the obtained data toward various other types of sufferers; for this reason, I’ve worked with matrices toward analysis set in acquisition so you’re able to examine the many groups.

I could enumerate henceforth the brand new findings We have achieved at the end of one’s investigation and you can research translation. Therefore, how sufferers out of my browse identify on their own?

Additional brands are not just fewer, as well as smaller diverse. In order to examine her or him, I have measured how many times the personality issues has actually looked throughout the four groups (whatsoever 184 victims): bodily qualities – 122 moments on 85 subjects (46% of your full); statuses and you can roles – 335 moments on 139 sufferers (75% of the complete), feelings and you will behaviours – 1,406 times from the 177 subjects (96% of your full) and you will abstractions – 76 times from the 63 subjects (34% of your total). I can expose the details inside a dining table getting a far greater look at the fresh new rates.

These types of rates tell you exactly how many sufferers understood all of them with at least one section of a specific classification

The new shipment rate of one’s five items (select Desk step three) to your final amount from responders reveals because it pursue (according to the number of subjects which have recognized through the four type of categories): actual traits 18%, statuses and you will spots 31%, moods and you can behaviours 38%, abstractions 14%. However,, new volume rates of your own solutions into examined society seems such as this (according to research by the quantity of answers within the per category): actual faculties six%, statuses and you will positions 17%, emotions and you may habits 73%, abstractions cuatro%. The latter data reveal (for the percents) exactly how many elements away from each class have been used from the participants.

The content sets understood have been centered on attributes (disposed from inside the matrix lines, from inside the articles as being the character classes): gender (masculine/feminine), position (manager/non-manager), manager kind of (small: party leader, company manager, short otherwise average business owner/big: finest manager, best business owner), performing set (state-owned/private industry), many years period (children – 26-39/adult – 40-49/elderly people – 50-69)

According to this dining table, most identify by themselves owing to feelings and behaviors; there was certain pointers that they release in regards to the means they try, work and you can work; as well, moody qualities otherwise connected with societal telecommunications; this isn’t unclear, uncertain recommendations; this is not general guidance or empty conditions; it’s personal data, attributes one to customize, that make some one stand out, you to fulfill the demand for individuality; they are not cumulative identifications or associations.

Leave a Reply

Your email address will not be published. Required fields are marked *