Trang chủ instabang-inceleme gГ¶zden geГ§irmek By far the most identifications (indifferent off intercourse, ages otherwise job) was basically feeling and you may conduct-related

By far the most identifications (indifferent off intercourse, ages otherwise job) was basically feeling and you may conduct-related

18/01/2023

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By far the most identifications (indifferent off intercourse, ages otherwise job) was basically feeling and you may conduct-related

I have applied the new open programming (the first procedure for the fresh new theoretic coding – see Strauss and Corbin, 1990) of one’s acquired matter grouping the language-extracted rules in groups. I have acquired, ergo, a listing of 330 requirements (we.e. character modalities: ambitious, honest, fearless, an such like.). There lead, too, twenty six classes, particular even with subcategories. We have ergo understood an enthusiastic axial programming comprising four axial categories: physical faculties, personal statuses and you can positions, emotions and you can behaviours, and you can abstract one thing. Like that, the new compact investigation, represented by means of a chart, grabbed the shape of a tree. Such as, the newest axial category – identification that have statuses and jobs – had the subcategories: the brand new gender group, members of the family statuses, interactional statuses, elite group statuses, spiritual statuses, and finally, society statuses. After that, these subcategories got their subcategories. Particularly, nearest and dearest statuses: household members opportunities plus the relationship status; otherwise elite statuses: reputation and you can industry. And you can significantly less than each one of these subcategories one could discover rules (by far the most recreating precisely the terms of one’s responders). Brand new central group or perhaps the nucleus group to which We linked (courtesy selective programming) the axial groups with regards to subcategories and you may requirements is actually Identification.

Right down to using the theoretic coding I have tried the development of theoretical comments due to clinical evaluations within obtained study into the more types of sufferers; for this reason, I have worked with matrices for the study sets in order so you can evaluate the different teams.

I can enumerate henceforth this new conclusions I’ve hit from the prevent of your own research and you may analysis interpretation. Very, how subjects of my personal research select themselves?

One other types are not just less, but also less varied. So you can examine him or her, I have mentioned how often the brand new character points have checked regarding the five classes (at all 184 victims): real traits – 122 moments on 85 victims (46% of the complete); statuses and you can spots – 335 times at the 139 subjects (75% of overall), moods and habits – 1,406 times within 177 subjects (96% of the full) and abstractions – 76 times on 63 victims (34% of your complete). I will introduce the knowledge inside a dining table to possess a far greater view of brand new rates.

These types of numbers tell you just how many sufferers known them with at least you to definitely part of a specific classification

The fresh shipments rates of the five products (see Desk step three) into the final amount from responders reveals because it comes after (in accordance with the quantity of victims having identified from five type of kinds): actual faculties 18%, statuses and you can opportunities 29%, feelings and behaviours 38%, abstractions 14%. But, this new regularity rate of the answers to the examined populace looks like this (in line with the quantity of solutions inside the per class): physical traits 6%, statuses and you can opportunities 17%, moods and behaviors 73%, abstractions 4%. The second rates reveal (in the percents) how many issues of for each category were used by the participants.

The knowledge sets know had been according to functions (disposed from inside the matrix outlines, into the columns being the identity kinds): instabang apk hile gender (masculine/feminine), standing (manager/non-manager), movie director method of (small: group commander, department manager, quick otherwise typical entrepreneur/big: finest manager, top business person), functioning place (state-owned/individual field), age duration (students – 26-39/mature – 40-49/older people – 50-69)

According to this table, the majority define by themselves using emotions and you will habits; there can be certain advice that they release in regards to the way they try, act and perform; as well, temperamental services otherwise regarding societal correspondence; it is not unclear, ambiguous suggestions; it is not standard information otherwise blank conditions; it’s personal information, qualities you to individualize, that produce somebody be noticed, one fulfill the need of individuality; they may not be collective identifications or affiliations.

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