When a researcher reports that a result is statistically significant What does this mean quizlet?
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Show Recommended textbook solutions A First Course in Probability8th EditionSheldon Ross 927 solutions Mathematical Statistics with Applications7th EditionDennis Wackerly, Richard L. Scheaffer, William Mendenhall 3,341 solutions Probability1st EditionJim Pitman 464 solutions A Survey of Mathematics with Applications10th EditionAllen R. Angel, Christine D. Abbott, Dennis C. Runde 6,366 solutions Both quantitative and qualitative researchers disseminate their findings, most often by publishing reports of their research as journal articles , which concisely describe what researcher did and what they found. Journal articles often consist of an abstract (a synopsis of the study) and four major sections that often follow the IMRAD format : an I ntroduction (the research problem and its context); M ethod section (the strategies used to answer research questions); R esults (study findings); a nd D iscussion (interpretation and implications of the findings). Research reports are often difficult to read because they are dense, concise, and contain jargon. Quantitative research reports may be intimidating at first because, compared to qualitative reports, they are more impersonal and report on statistical tests. Statistical tests are used to test hypotheses and to evaluate the reliability of the findings. Findings that are statistically significant have a high probability of being "real." A goal of this book is to help students to prepare a research critique , which is a critical appraisal of the strengths and limitations of a study, often to assess the worth of the evidence for nursing practice. Researchers face numerous challenges, the solutions to which must be considered in critiquing a study because they affect the inferences that can be made. An inference is a conclusion drawn from the study evidence, taking into account the methods used to generate that evidence. Researchers strive to have their inferences correspond to the truth . Reliability (a key challenge in quantitative research) refers to the accuracy of information obtained in a study. Validity broadly concerns the soundness of the study's evidence—that is, whether the findings are convincing and well grounded. Trustworthiness in qualitative research encompasses several different dimensions, including credibility, dependability, confirmability, transferability, and authenticity. Credibility is achieved to the extent that the methods engender confidence in the truth of the data and in the researchers' interpretations. Triangulation , the use of multiple sources to draw conclusions about the truth, is one approach to enhancing credibility. A bias is an influence that produces a distortion in the study results. In quantitative studies, research control is an approach to addressing bias. Research control is used to hold constant outside influences on the dependent variable so that the relationship between the independent and dependent variables can be better understood. Researchers seek to control confounding (or extraneous ) variables variables that are extraneous to the purpose of a specific study. For quantitative researchers, randomness having certain features of the study established by chance—is a powerful tool to eliminate bias. Recommended textbook solutionsA First Course in Probability8th EditionSheldon Ross 927 solutions Mathematical Statistics with Applications7th EditionDennis Wackerly, Richard L. Scheaffer, William Mendenhall 3,341 solutions
Statistical Techniques in Business and Economics15th EditionDouglas A. Lind, Samuel A. Wathen, William G. Marchal 1,236 solutions
Elementary Statistics13th EditionMario F. Triola 2,567 solutions When a researcher reports that a result is statistically significant What does this mean?Statistically significant findings indicate not only that the researchers' results are unlikely the result of chance, but also that there is an effect or relationship between the variables being studied in the larger population.
When a researcher reports that findings are statistically significant it means that the quizlet?It means that the probability of error for the statistic is less than 1 in 100, causing the results to be statistically significant. It means that the probability of error for the statistic is greater than 5 in 100, therefore the researchers concluded that the research is not statistically significant.
What does it mean if a result is statistically significant quizlet?Statistical significance means that the result observed in a sample is unusual when the null hypothesis is assumed to be true. When testing a hypothesis using the P-value Approach, if the P-value is large, reject the null hypothesis.
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