540 wk3 db2 res1
Respond to…
Hypothesis testing involved two statements given as H1 and Ho. If results obtained from the research are positive then research hypothesis is accepted, otherwise it is rejected. Research article being analysis studies the impact of conflict management on performance of employees in public sector organization present in Nigeria. Hypothesis one taken in the study is that conflict management has positive effect on performance of an employee. If H1 is not proved in the research then H0 would have to be accepted which says that relation does not exist between conflict management and performance of employees.
Research methodology is implicitly stated as no separate section is present in the research which explains methodology where abstract gives brief information about the sample taken and statistical techniques that were applied. Sample of 100 respondents were taken in the study where stratified sampling technique was used for setting up sample group. Research instrument used for collecting data comprised of questionnaire. Statistical tools applied for checking the hypothesis includes regression analysis and correlation coefficient. Little information is provided in research relating to area where data is collected or how it was collected where results from the statistical analysis have been stated straight away which allows us to accept or reject hypothesis.
Rejection or acceptance of the research hypothesis depended on T-tab value obtained where H0 would be rejected if the value of T tab is greater the T cal. Results obtained gave value of T-tab much greater than T-cal due to which the hypothesis had to be rejected. Alternative hypothesis which was accepted is that conflict management helps enhance performance of employees. Research could have been better understood if more information was given relating to research methodology taking up such as questions present in the questionnaire and sample group taken.
References
Ojo, O., & Abolade, D. A. (2014). IMPACT OF CONFLICT MANAGEMENT ON EMPLOYEES’PERFORMANCE IN A PUBLIC SECTOR ORGANISATION IN NIGERIA. Studies in Business & Economics, 9(1).
Respond to…
Locate an example of a research study that uses hypothesis testing. Explain whether the study describes its hypothesis testing procedure explicitly or implicitly, based on the explanations in the Methodology section. Finally, discuss what this statistical technique allowed the researchers to accomplish and/or conclude in the study.
The hypothesis testing procedure is intricate for earthquake prediction. The study vividly states the research study has no room for confusion or doubt about the study. “Requirements for testing include advance specification of the conditional rate density (probability per unit time, area, and magnitude) or probabilities for specified intervals of time, space, and magnitude (Jackson, 1996).” The study required a null hypothesis so that the statement requires the information of the usual behavior. “Hypotheses can be tested in three ways: First by comparing the number of actual earthquakes to the number predicted, Second by comparing the likelihood score of actual earthquakes to the predicted distribution, and third by comparing the likelihood ratio to that of a null hypothesis. The first two tests are purely self-consistency tests, while the third is a direct comparison of two hypotheses. Predictions made without a statement of probability are very difficult to test, and any test must be based on the ratio of earthquakes in and out of the forecast regions (Jackson, 1996).” Statistical techniques that are used in this study are probabilities, the L test, the R test, rate-density maps, conditional rate density, and algorithm for modeling the probability (Jackson, 1996). These statistical techniques allowed the researchers to accomplish which is the best way to express earthquake predictions which is the conditional rate density (Jackson, 1996). The conditional rate density will contain the maximum information.
References
Jackson, David. (1996). Hypothesis testing and earthquake prediction. PNAS. (USA)
Proc. Natl. Acad. Sci. USA 93 (1996)
http://www.pnas.org/content/pnas/93/9/3772.full.pdf