expert knowledge and self regulation in professional old retired and no professional

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Psicología Mind Map on expert knowledge and self regulation in professional old retired and no professional, created by Darlys Dayaniz Alquerque Vergel on 07/09/2018.
Darlys Dayaniz Alquerque Vergel
Mind Map by Darlys Dayaniz Alquerque Vergel, updated more than 1 year ago More Less
Darlys Dayaniz Alquerque Vergel
Created by Darlys Dayaniz Alquerque Vergel almost 6 years ago
Darlys Dayaniz Alquerque Vergel
Copied by Darlys Dayaniz Alquerque Vergel almost 6 years ago
Darlys Dayaniz Alquerque Vergel
Copied by Darlys Dayaniz Alquerque Vergel almost 6 years ago
Darlys Dayaniz Alquerque Vergel
Copied by Darlys Dayaniz Alquerque Vergel almost 6 years ago
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Resource summary

expert knowledge and self regulation in professional old retired and no professional
  1. Abstract
    1. While various psychosocial variables, involved in post-retirement adaptation, were investigated, enough attention has not been paid to the role of expert knowledge. This research aims to compare life goals of professional and non-professional older adults since their retirement, and to analyze the relationship between the expert knowledge and the self-regulation strategies, in order to empirically evaluate the Berlin Group model. A cross-correlational design was used, with a sample of 258 participants, retirees, divided into two groups: professionals and non-professionals. Differences were found in the selection of life goals between both groups and it became clear that expert knowledge was associated with increased use of optimization and compensation strategies. The non-professional group used the compensation strategy more than the other group, and the professional group presented a significantly higher performance in expert knowledge than the non-professional group.
    2. reference
      1. Krzemien, Deisy, and Maria M. Richards. "Expert knowledge and self-regulation in the elderly professional and non-professional retirees. "Advances in Latin American Psychology, vol. 36, no. 2, 2018, p. 331+. Academic OneFile, http://link.galegroup.com/apps/doc/A540211580/AONE?u=fuaa&sid=AONE&xid=6e7fc21d.
      2. objective and research question
        1. analyze the relationship between the study variables according to the groups
          1. What are the differences of expert knowledge and self-regulation strategies in the retirement of old senior professional and not professional ?
        2. justification raised by the authors
          1. Baltes and Freund (2007) argue that expert knowledge and SOC strategies, when operated together, lead to the adaptation and development of human potential. This hypothesis is based on the reciprocal relationship between SOC strategies and expert knowledge. Learning to select goals, optimize them and compensate losses in such a way that they help to obtain an adaptive development should facilitate an adjustment of more appropriate goals for a person or life stage and in a determined socio-historical context.
          2. logical or realistic positivist approach
            1. Poses hypotheses to predict, check or verify
              1. the elaboration and verification of conclusions, using techniques to extract meanings from the data
                1. it is quantifiable and uses statistics for verification, descriptive statistics tests to characterize the variables of study and inferential statistics according to the type of distribution of the variables
                2. characteristics
                  1. It is generalizable because it says that people with greater knowledge have a greater possibility of selecting among a wide variety of heterogeneous goals and interests
                    1. included, reduction, data availability and obtaining categories
                      1. It is objective because it studies the comparison that exists in the life goals from the retirement retreat in professional and non-professional older adults
                      2. members
                        1. Danna Caicedo Ruidiaz y Darlys Alquerque Vergel
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