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Objectivity . 5/8 Characteristics vs Hallmarks 5/8 . خاصية الموضوعية Research Methods / Methodology — Transcript

by Ashraf Elsafty (Prof. Ashraf Elsafty) · 1,541 words · 136 segments · language en · Watch on YouTube

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  1. 0:00Hello everyone
  2. 0:02in this is episode number four about the special components of hallmarks versus characteristics
  3. 0:11and we have now a new concept named objectivity
  4. 0:15what does objectivity mean it means objectivity in Arabic
  5. 0:21it means that I get attached to the components that I made and that I achieve it
  6. 0:28in order to achieve objectivity and also to get attached more the Scientifics researches
  7. 0:33now lets read together a section of this paragraph
  8. 0:36the conclusions
  9. 0:39the conclusions in where guys
  10. 0:41in the six steps, it was the last thing
  11. 0:44let's revise them together: problem definition, literature review
  12. 0:47research design we stop we revise to be assured and then we move on to data collection, analysis
  13. 0:55conclusion and the researcher is done
  14. 0:58drawn through the interpretation of the results of data analysis
  15. 1:04so he got results he made data analysis
  16. 1:06it means that this conclusion that we got from the previous step which is the analysis
  17. 1:12should be objective, so how?
  18. 1:16they should be based (the conclusions) on the facts of the findings derived from actual data
  19. 1:26actual data which is the step before analysis, step number four of the six steps
  20. 1:32so the conclusions should come from the analysis
  21. 1:36and this analysis should come from actual data
  22. 1:40the findings, the facts and the outcomes that you will say
  23. 1:43we should be assured that the facts and the findings that you will tell us
  24. 1:48were derived from actual data
  25. 1:53and how will get to actual data, through analysis
  26. 1:57And not on our or your as a researcher own subjective or emotional value
  27. 2:05so they don t want me to insert subjectivity which is an exit from objectivity
  28. 2:10so when I exit from objectivity
  29. 2:12I become negatively biased to my own choices, my ideas, and my opinions
  30. 2:17for example
  31. 2:19for instance, if we had a hypothesis that stated
  32. 2:23this word "hypothesis"
  33. 2:24that greater participation in decision making would increase organizational commitment
  34. 2:35it says the increase of the participation of people in decision making
  35. 2:42would increase organizational commitment
  36. 2:46so this is a hypothetical a statement like the previous one
  37. 2:50it says the increase of the participation of people in decision making
  38. 2:53would increase organizational commitment
  39. 2:55this was not supported by the results, which results?
  40. 3:01The ones from. the previous step the one before the conclusion in analysis
  41. 3:05it would make no sense -It is neither reasonable nor acceptable-
  42. 3:10if the researcher continued to argue
  43. 3:15he still argues and discusses, discuss what?
  44. 3:19discuss that also the increased opportunities for employee participation is still useful
  45. 3:25and where did I get that?
  46. 3:26but the results says the opposite of that
  47. 3:29such an argument, this discussion that the researcher do would be based not on the factual data-based research findings
  48. 3:38so where did the researcher get them?
  49. 3:41It's not based on the factual data or data analysis
  50. 3:45but on the subjective opinion of the researcher
  51. 3:48on the mood, the sentiment and the desire of the researcher, other than the reality of the information
  52. 3:53and the data that was analyzed by the scientific researcher
  53. 3:57if we go to the example that we explained in those six steps of the deductive approach
  54. 4:04problem definition, literature review, research design, we stop for revision
  55. 4:09data collection, analysis and conclusion
  56. 4:14keep in your mind that this conclusion in order to be objective
  57. 4:19that this research would be objective
  58. 4:21and also remember that objectivity or being objective doesn’t only means the last step between the conclusion and the analysis
  59. 4:28it's not intended for this step only, you see it?
  60. 4:31conclusion analysis, is it intended for this step only? No
  61. 4:34let's see what it's intended for
  62. 4:37conclusions should be drawn from this, we find it in here
  63. 4:42so it's so Important that this analysis should come from
  64. 4:46you see this yellow arrow
  65. 4:48look at those yellow arrows
  66. 4:49we will re-do them step by step
  67. 4:52the analysis should be drawn from data
  68. 4:55so where those data came from?
  69. 4:56I got them based on this research design
  70. 4:58do you remember what was in this research design in the previous episode?
  71. 5:00in research design, we have to examine the stability we examine the possibility of examination
  72. 5:07the relation between variables for example like the salary and commitment
  73. 5:11variables like participation in decision making and productivity or commitment
  74. 5:17good, do the data that gathered from here should be based on the hypothetical statements from here
  75. 5:23and where did this hypothetical statements came from?
  76. 5:26it came based on the merge between literature and problem definition
  77. 5:29the merge between this literature and problem definition
  78. 5:32so in here, we try our best to relate this to this
  79. 5:36and therefore you can tell me, am I going to do this research in the opposite way, No
  80. 5:41not in the opposite way, I am just trying to explain to you using this example
  81. 5:44that the conclusion should be drawn from analysis and the analysis is based on data
  82. 5:48and this data came from the design, and the design is based on literature and problem definition
  83. 5:52but in your case, you have to go in a direct way starting by the problem definition
  84. 5:59I have to write this problem definition in a good way, it means that you write it with objectivity
  85. 6:06the nine elements should be related
  86. 6:08you have to relate between the product and the client
  87. 6:11and the economic circumstances and the political circumstances and the social circumstances
  88. 6:15and the reality of the peoples, and the reality of the firms, and the system of work inside, everything
  89. 6:20the internal, external environment, and the management function and in everything
  90. 6:24even with the legal form of the firm
  91. 6:25for that, we gave you this model the nine elements
  92. 6:28this is a development made by a scientific research
  93. 6:30it says that you can define a problem using it and to conclude from it who you will talk
  94. 6:36to as stick welder to support you or to differ from what you said
  95. 6:40and consequently, you write a major, a miner and claims
  96. 6:44major minor questions and claims
  97. 6:47so we will observe the objectivity inside this box that belongs to problem definition
  98. 6:51and when we are assured about it
  99. 6:53we will observe that its related to the literature
  100. 6:55so literature itself, didn’t we in the episode where we searched for literature
  101. 7:00we brought the first, the second, the third and the fourth paper
  102. 7:02we wanted to be assured that those papers were related to each other
  103. 7:04it means what’s the relation between the first and the second paper also the second and the third and also with all of the other papers
  104. 7:09you have to show us a link and arguments and a real discussion
  105. 7:11to relate literature papers between it and shows the reason why you used it
  106. 7:15if you combine those two, and base on them a research design
  107. 7:19also, the only thing that I know about this research design is hypothetical statements
  108. 7:24the only thing that I know is that you achieve hypothetical statements and you write inside the research design
  109. 7:28when you find hypothetical statements and you have them
  110. 7:33we will revise them in order to be assured that they are intact and right related to science and to the problem
  111. 7:38then you will have to gather data based on what?
  112. 7:41based on this research design
  113. 7:43I will collect data and this data that I have I will analysis it
  114. 7:47and this analysis I will get from it a conclusion
  115. 7:50you will have alternatives to make lots of analysis and you have the ability to collect the data that you want
  116. 7:55but only on one condition that those data would be drawn from the research design
  117. 7:58you must not collect every data you will find
  118. 8:02and therefore, we can say that the objectivity is that you achieve the connectivity that we have in those yellow and red lines
  119. 8:09and this just a symbolic form in order to show you that the merging and the linking
  120. 8:14is the real objectivity between the components of the research
  121. 8:17and not only between the main six components but also inside every box of those
  122. 8:22we will assure that we have a linking between its components and therefore we achieve integration and linking
  123. 8:30and you don’t be only a researcher who talks without any bases
  124. 8:33so I shouldn’t use my variables in my research? No, you can
  125. 8:37but have to convince us with arguments from the problem definition that it exists
  126. 8:41so can I leave this literature and use another literature in order to leave my mark on this research and to show my researching personality?
  127. 8:51yes you can
  128. 8:52but you have to tell us that you didn’t mention something or that you mentioned something and the reason why you did that
  129. 8:56hiding this is the problem either by mistake or on purpose
  130. 9:00and therefore objectivity means that you achieve a real link and a real integration between all of the research steps
  131. 9:05the main ones and also the secondary ones
  132. 9:08after seeing all of this, is the objectivity a characteristic or a hallmark?
  133. 9:12let's think about this together and let's meet in the next episode
  134. 9:15It should be replicability then Generalizability
  135. 9:17and then in the one after it, we will talk about objectivity
  136. 9:19Thank you for watching.

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