Testability . 4/8 Characteristics vs Hallmarks . خاصية القابلية للفحص Research Methods — Transcript
Full transcript
- 0:00Hello everyone, today we will speak about the third part
- 0:05that we are questioning if it is a characteristic or a hallmark.
- 0:09Now we will speak about testability.
- 0:12So what does it mean testability?
- 0:14So let's read an example here from the books.
- 0:17Testability is a property that applies to the hypotheses or hypothesis,
- 0:22For sure, we can have it plural or singular.
- 0:25So before getting to hypothesis or chapter or any other parts.
- 0:29We can move to a bit easier point and I will stop here.
- 0:34if after talking to a random selection of employees…
- 0:38if after talking to a random selection of employees
- 0:41and study of the previous research done in the area of organizational commitment.
- 0:46What does it mean this sentence?
- 0:49if after talking to a random selection of employees of the organization
- 0:54and study of the previous research done in the area of organizational commitment.
- 0:59What does the researcher do in this part?
- 1:03What does the researcher do?
- 1:06The researcher doesn't want you to get confused by the word “random”.
- 1:10It is a sample It doesn’t mean here the word "random"
- 1:14as mathematical-statistical random.
- 1:16What it means here is a group without scientific accuracy?
- 1:20So what is the group that we mentioned, and we called them previously
- 1:24"Those who are related to the problem, stakeholder analysis."
- 1:27In the episode when we were talking about the progress of the research,
- 1:31The first progress in the research that we have done
- 1:33and we have divided it into three episodes.
- 1:36We talked in this part about that you can talk about "problem definition"
- 1:39and the owner of interest and those who impact and get impacted by your problem.
- 1:44So who are they in this part?
- 1:46Because you are talking about commitment and specific organization
- 1:49so they are the employees.
- 1:50Random selection doesn't mean statistical random,
- 1:52it means haphazard.
- 1:54What does it mean haphazard?
- 1:56It means without subjection to a specific methodology yet,
- 1:58because we are still in the area of problem definition.
- 2:00so what am I going to do?
- 2:02So you talk with people that they are related to this problem
- 2:05as employees or any other or even if the suppliers
- 2:08or other customers like VIPs and so on.
- 2:12Here, we are speaking about as if we put underline in this part,
- 2:15so we can say that he is talking about the stakeholder’s analysis,
- 2:19and the other step so we will leave the problem definition
- 2:24and stakeholder analysis inside the problem definition
- 2:27and then we will move to the study of the previous research.
- 2:31When do we study the previous research that is related to our phenomena.
- 2:35This is our phenomenon (organizational commitment).
- 2:37So when do we study scientific about our problem,
- 2:41after finishing our problem definition so it is in the literature review.
- 2:45So study of the previous research done in the area of such and such
- 2:48(for example the phenomena that we are studying).
- 2:50it means that the researcher has finished the problem definition
- 2:52and then moved to the next step to make a literature review.
- 2:56Great, what we can do as this is the third step,
- 3:00the manager or the researcher starts to develop certain hypotheses or hypothesis.
- 3:07So this is accurately the definition of Testability.
- 3:09Developing a certain hypothesis on how employee commitment can be enhanced.
- 3:14if you develop a hypothetical statement on how employee commitment
- 3:20that is for you "employee commitment phenomena”
- 3:23how to develop it and enhance it and understand it or to increase it or reduce it.
- 3:27This is the researcher concern,
- 3:29At that time this is exactly the definition of "Testability".
- 3:33So what does it mean Testability in Arabic?
- 3:35Does it mean to check/test?
- 3:37No, to check it means to just test,
- 3:39Testability means the capability to test.
- 3:43Now we can see differently and go to another slide.
- 3:48in our own slides to present it step by step and not to get confused.
- 3:53In this part we are talking about testability
- 3:56and now we're moving with the steps all the time,
- 4:00and we have the steps of scientific research.
- 4:03I move from here in order to see it clearly.
- 4:05Testability is not equal to test, please take care.
- 4:10Test means that I have data and I am examining it.
- 4:13When do I collect data, it is after research design.
- 4:16Data collection and then analysis as if this part is the analysis.
- 4:20Testability means the research that can be tested/examined.
- 4:28So what are the signs, components that it can be examined.
- 4:32It is this part: the definition is exactly as it is here
- 4:36that you develop the hypothesis
- 4:38(This is the closest translation for hypothesis in Arabic).
- 4:42Hypothesis Not assumptions.
- 4:46So this scientific hypothesis consist of
- 4:49according the definition of a specific problem
- 4:52that we used before if you remember, in the Research Progress 1.
- 4:559th elements and we spoke with stakeholders and made the major questions, and minors
- 5:00and we have written claims, designed conceptional models
- 5:03and we assumed of the relation between the variables and the phenomena.
- 5:07Ok, all of that was out of nothing just from our imagination!
- 5:10No, it was supported by secondary information that came from the current situation and context
- 5:15or the reality that we face now.
- 5:16Furthermore, we have read the literature.
- 5:20And we will explain how to read literature.
- 5:22We collected, analyzed, evaluated, and selected.
- 5:25You need to combine all of these elements together,
- 5:27the way to combine these elements is to develop hypotheses.
- 5:29This is exactly the definition of testability
- 5:31develop certain hypotheses
- 5:33it means we need to write a hypothetical statement,
- 5:36what is the form of hypothetical statements or these statements.
- 5:40This is an example of this hypothetical.
- 5:42then can be tested, afterward we can test it
- 5:46Ok, we go to the first example.
- 5:48For instance, the researcher (You) might hypothesize that those employees
- 5:57who perceive greater opportunities for participation
- 6:01in this decision making will have a higher level of commitment.
- 6:04What we've here until this point; this is a hypothetical statement.
- 6:10the researcher might hypothesize,
- 6:13what the researcher has done in his own hypothesis,
- 6:16he is searching for the phenomena. where is the phenomenon in this example
- 6:19the phenomena are the commitment, and he is looking to enhance it.
- 6:23so where is the variable here?
- 6:26it is the participation in decision-making, this is our variable.
- 6:30Do you remember our research progress that was salary or meals?
- 6:34then in our example here participation in decision-making,
- 6:37and the phenomena is a commitment.
- 6:40Who can tell me, what is the relation here?
- 6:43Do we still have the variable? Yes, we do.
- 6:45The second thing in the language of research.
- 6:48I am reminding you about this episode.
- 6:50The second thing after the variable does exist,
- 6:53Has a relationship in the form of quantity and direction with other variable(s)
- 6:56Has he mentioned how many hours for participation in decision-making? No.
- 7:02Has he mentioned the amount of money that they will receive? No.
- 7:06Has he mentioned a specific direction? Yes, he has mentioned direction.
- 7:08When the employee receives greater opportunity
- 7:12in decision-making then we'll have a higher level of commitment.
- 7:16So the more this variable will increase so consequently the commitment will increase
- 7:21accordingly and also vice versa.
- 7:23So the direction is positive or negative,
- 7:25it is positive as both of them are increasing together.
- 7:27The fourth and last characteristic "significance".
- 7:30Is there significance in this part? No, we don't have significance?
- 7:33it wasn't mentioned any significance at all
- 7:36What has he mentioned that there is a relation
- 7:39that I cannot describe precisely,
- 7:41it has more than one variable until now.
- 7:44"Participation decision making" that is related and impacted on the commitment.
- 7:48I couldn't say the quantitative part
- 7:50but I could say the direction that both are positive together.
- 7:52So how did he know that?
- 7:54problem definition supported by literature.
- 7:56so that we are waiting for you to develop this hypothesis… When?
- 8:00After you will do both reads and write accurately about the problem
- 8:05and also read and write about the previous research or from the literature review.
- 8:09If we get back to our slide again.
- 8:11So, test is different from testability.
- 8:13because test is to develop a hypothetical statement
- 8:16I'm sorry, testability is to develop hypothetical statement
- 8:22but test when I gathered data to test it or examine it.
- 8:26what does it mean to test it?
- 8:28As it's written here in the books here.
- 8:33then after having hypothetical statements can be tested, we can test it
- 8:39by applying certain statistical tests.
- 8:42We can do a statistical test that we want with all its types and alternatives.
- 8:47It's mentioned here some various ideas.
- 8:50like : this is the hypothesis, and this rest of the paragraph:
- 8:53that can be tested with data collected.
- 8:57For sure, I will not check the analysis before collecting the data.
- 9:00One of the Example here, correlation analysis
- 9:03that indicates Hypothesis is substantiated or not
- 9:05or I will do T-Test, for example here.
- 9:10or I will apply Chi-Square,
- 9:12or many other examples like regression and Anova...etc.
- 9:15that we speak about it later.
- 9:17What is important is to differentiate between test and testability?
- 9:22Here, we can find an example with an explanation.
- 9:26Please focus when you talk about a hypothetical statement
- 9:31is to differentiate between test and testability.
- 9:34In the area of testability, we can see it in the research design,
- 9:37the concept of the test we can see it in the analysis after collecting the data,
- 9:41and both of them are totally different from each other.
- 9:45so hypothetically statement where does it locate in the research design.
- 9:49Now we've started talking about the research design
- 9:52before we've learnt how to write a problem.
- 9:55with search problem including 9 elements.
- 9:58stakeholder analysis, major, minor questions, claims, conceptual models,
- 10:03Now we have another addtional to the area of research design
- 10:06after the literature review; we knew how to search and reach
- 10:10and write a brief about the literature we've read.
- 10:15Where is hypothetical statement located?
- 10:17this is the first element that we understand inside the area of testability
- 10:21or application of the conception of testability within the research design.
- 10:24then the elements that we have now is so clear.
- 10:28Problem definition that has claimed,
- 10:32this claim says for example that the salary will increase
- 10:35and will not impact productivity.
- 10:38Here the example is simple,
- 10:39It is the salary will not affect productivity.
- 10:42How did I know that as a researcher? Did I just imagine and say that?
- 10:46Or I just assume that without any investigation?
- 10:48No, I did explain to you detailed problem definition,
- 10:51and I told you within about the current situation
- 10:54when I increased the salary
- 10:56there was no positive relation, so this is an example of productivity.
- 11:00so when I read literature so I found out that the science
- 11:03is affirming what I'm saying.
- 11:05It means science is supporting what I am saying.
- 11:08So now you can develop and write hypothetical statements
- 11:11in the area of research design.
- 11:13Who did say that in science?
- 11:15this person did say that, those who have written that
- 11:18and did scientific research,
- 11:20I write it in the area of the hypothetical statement.
- 11:22That's why I don't want you to get confused.
- 11:24what is the difference between claims
- 11:26that exist in the area of problem definition
- 11:28and conceptual model and between the hypothetical statement
- 11:31and the theoretical framework that will learn them in the upcoming episodes.
- 11:36Hypothetical statements and claims are anatomically similar.
- 11:42What does it mean anatomically similar? that they have the same elements.
- 11:45Variable, salary, phenomena they have the same elements.
- 11:50and it is the same phenomena.
- 11:52Does it have the same relation? Yes, it does.
- 11:54So what is the difference?
- 11:56the claim is just supported by the problem definition and current situation
- 12:00supported by reality, data or accurately we can call it secondary information
- 12:06From the resources that you already have, you claim this problem exist,
- 12:10you claim this relation, so when we read literature
- 12:14the difference is when we developed the writing even if it had the same components
- 12:19but for sure it will not be similar for many other reasons.
- 12:22it could be similar temporarily and when will you call it a hypothetical statement
- 12:25and the area of research design
- 12:27and why because it got impacted and supported by science.
- 12:31it has been reviewed, checked and agreed by science
- 12:39The whole difference in the components
- 12:41No, there is no difference. So what is the difference?
- 12:44that it does exist in the research design so that
- 12:48it means that it could "testability" so now that I can collect data
- 12:52about productivity or the phenomena for example the commitment and the salary.
- 12:55and then I will see if this data is related to each other or not.
- 12:58so what is the difference between this one and the claims?
- 13:01this one is supported by scientific literature
- 13:04Here is just supported by problem definition.
- 13:07Then we will gather data about the productivity for the phenomena and salary
- 13:12then we see in the phase of testing
- 13:15if the correlation statistical does it support the relation or not.
- 13:20whatever tools for testing:
- 13:22Correlation, Chi-square, Te-Test, F-Test, or wherever
- 13:24Any types of tests that you can use,
- 13:27so that you can get the conclusion
- 13:29and recommendation and further research.
- 13:31So please we need to differentiate between testability and test.
- 13:35Testability means a hypothetical statement and it is located in the research design.
- 13:39Test means to collect data about the hypothetical statement
- 13:43and you will do analysis about it in the area of analyzing.
- 13:46What is the difference between hypothetical statement and claims?
- 13:49Anatomically or structural, they are the same components.
- 13:53but the difference is the claims are supported by 9 elements and stakeholder analysis
- 14:01but hypothetically statement is supported by science that was examined/tested
- 14:06and has been scientifically proved.
- 14:10Thank you and until next episode.
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