After identifying the different variables and establishing the logical reasoning in theoretical framework, the next step in the research process is to
Generate hypothesis
In the research process, following the identification of variables and establishing logical reasoning within the theoretical framework, the next vital step is to "Generate Hypothesis." Let us understand why this is crucial and distinguish it from the other options given.
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Understanding Hypothesis Generation:
- A hypothesis is a tentative explanation or prediction that can be tested through research and experimentation.
- It serves as a bridge between the theoretical framework and the empirical research, guiding the direction of the study.
- Generating a hypothesis involves formulating a statement that can be tested and verified or falsified based on data.
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Ruling Out Other Options:
- Conduct Survey: This is a method of data collection that comes after formulating a hypothesis. Surveys help in gathering data related to the hypothesis.
- Focus on Group Discussion: While discussions can be valuable in refining research aims and questions, they are often more useful at an earlier stage or for qualitative data collection post-hypothesis generation.
- Use Experiment in an Investigation: Experiments are instrumental in testing hypotheses, hence they come after the hypothesis has been generated.
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Conclusion:
- Therefore, after identifying different variables and setting the logical foundations with the theoretical framework, the logical next step is to generate a hypothesis to guide empirical investigation.
Similar Questions
Given below are two statements :
Statement I : If we accept a hypothesis when it should be rejected, we say type I error has been made.
Statement II : If we reject a hypothesis when it should be accepted, we say type II error has been made.
In the light of the above statements, choose the most appropriate answer from the options given below :
Given below are two statements:
Statement-I The null hypothesis for testing of difference between means is generally stated as Ho: μ₁ ≠ μ₂, where (μ₁) and (μ₂) are the population means of the two populations, respectively.
Statement II: When samples happen to be small samples and population variances are not known but assumed to be equal, Z-test is employed for testing the null hypothesis.
In the light of the above statements, choose the most appropriate answer from the options given below:
At the stage of data analysis, in which quantitative techniques have been used by a researcher, the evidence warrants the rejection of Null Hypothesis (H₀). Which of the following decisions of the researcher will be deemed appropriate?
A researcher fails to reject the null hypothesis (Ho) in his/her research. What implications will it carry for his/her principal research hypothesis?
A hypothesis is:
Male and female students perform equally well in a numerical aptitude test. This statement indicates a:
Which of the following statements is true in the context of the testing of a hypothesis?
Important Questions from Hypothesis
Which one of the following is NOT a type of hypothesis?
Which one of the following possibilities leads to Type I error in hypothesis testing?
Population variance differ from sample variance in which of the following manner:
A. μ ± 3σ is replaced by x̅ + 9σ2
B. μ is replaced by x̅
C. μ2 is replaced by \(\rm \frac{\mu^2}{(n-1) α}\)
D. N is replaced by n - 1
E. N is replaced by n - 1 - α
Choose the correct answer from the options given below:
Which of the following hypotheses was propounded by Harry Hammond Hess in 1962?
- Which of the following statement is not the characteristics of hypothesis ?
(i) Hypothesis should be capable of testing
(ii) Hypothesis should be consistent with most known facts
(iii) Hypothesis should be unlimited in scope
(iv) Hypothesis should be amenable to testing beyond a reasonable time.
