https://padlet.com/arend_swart/m7i6r44f9ts0 Made with a warm hug en-us 2018-11-01 15:10:33 UTC 2018-11-02 08:35:23 UTC hello@padlet.com arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299412078 - Human knowledge is based upon human conjectures.
- Supports the idea of subjective truth.
- Knowledge is entirely dependent on context, and on the role of the researcher (with all his/her baggage of culture, norms and values). 

 Findings are evaluated based on pre-existing knowledge and critique. 

Example:
In different fields of study they hold different standards and methods for coming to certain outcomes. This means that from a post-positivism point of view it might mean that a researcher from a scientific field won’t take research from social studies as serious because the methods they use are different, and in their opinion not as solid, as in the scientific world.]]> 2018-11-01 15:11:11 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299412078 arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299420739 - Study of being
- Reality can only be known imperfectly

In Post-Positivism a theory cannot be proven but a strong case can be made for it by disproving alternative explanations. 

Example:
Every person perceivs his/her own world/reality]]> 2018-11-01 15:25:34 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299420739 arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299427265 - Study of value and ethics
- Bias is undesired but inevitable

Example:
For instance a religious person does not consider the opinion of a person with a same-sex preference. ]]> 2018-11-01 15:36:33 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299427265 arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299433494 Rules for qualitative research
- Pay attention to abstraction and classification.
- Practice retroduction but accept its always fallible.
- Go back and forth between theory and the empirical patterns by the data.
- Choose appropriate techniques for the task in hand.
- Be wary of predictions.
- Use deduction but know its’ limitations.
- Recognize that the need for parsimony depends on what you are doing.
- Recognize that data in open system are ‘ficts’ (not mirror-like representations of reality).
- Do not expect textbooks to provide a cookbook recipe for your study.
- Be sensitive to context.
- Apply criteria of judgement in evaluating a theory.]]> 2018-11-01 15:46:52 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299433494 arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299437741 A view that we need context and that context free experimental design is insufficient. Take in account everyone has a bias on there one.]]> 2018-11-01 15:54:03 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299437741 arend_swart https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299451801 Analyse models and theories before use.]]> 2018-11-01 16:16:27 UTC https://padlet.com/arend_swart/m7i6r44f9ts0/wish/299451801