NURS 5366 Module 2 Quiz with 100%Answered (Graded A+).

NURS 5366 Module 2 Quiz with 100%Answered (Graded A+). Module 2 Quiz Due Nov 14 at 11:59pm Points 100 Questions 20 Available Nov 12 at 12am - Nov 14 at 11:59pm 3 days Time Limit 60 Minutes Instructions Attempt History Attempt Time Score LATEST Attempt 1 26 minutes 100 out of 100  Correct answers are hidden. Score for this quiz: 100 out of 100 Submitted Nov 13 at 2:18pm This quiz has 20 multiple choice questions, and you will have 60 minutes in which to complete it. Use your time wisely. Quizzes will not be re-opened or re-set because you have run out of time and did not complete them. You must complete the quiz in one sitting. You may go back and forth between questions. The quiz will open and close at the dates and times listed in your syllabus. For any additional problems with the quiz, contact your course faculty, immediately via e-mail for assistance. Do not contact your Coach. Online quizzes are individual work and you may use your book or course materials to assist you in answering the questions. Sharing or receiving information is a matter of academic dishonesty and will be reported to the Office of Community Standards. Students enrolled in all UT Arlington courses are expected to adhere to the UT Arlington Honor Code: I pledge, on my honor, to uphold UT Arlington’s tradition of academic integrity, a tradition that values hard work and honest effort in the pursuit of academic excellence. I promise that I will submit only work that I personally create or contribute to group collaborations, and I will appropriately reference any work from other sources. I will follow the highest standards of integrity and uphold the spirit of the Honor Code. NOV 2020 GRADE 100 11/13/2020 Module 2 Quiz: 2208-NURS-5366-402-PRINC OF RESEARCH IN NURSING This attempt took 26 minutes. Question 1 5 / 5 pts A stimulus or activity that is measured to examine the effect created by the independent variable best describes a(n) _____ variable. Independent Dependent Demographic Extraneous In quantitative research, the independent variable (intervention, treatment, or experimental variable) is manipulated or varied by the researcher to cause an effect on the dependent variable. The dependent variable (response or outcome variable) is measured to examine the effect created by the independent variable. An independent variable is a stimulus or activity that is manipulated or varied by the researcher to create an effect on the dependent variable. A dependent variable is the response behavior or outcome that the researcher wants to predict or explain. Extraneous variables exist in all studies and can affect the measurement of study variables and the relationships among them. Extraneous variables are of primary concern in quantitative studies, because they can obscure one’s understanding of the relational or causal dynamics within the studies. Demographic variables are attributes of the subjects that are measured during the study and used to describe the sample. 11/13/2020 Module 2 Quiz: 2208-NURS-5366-402-PRINC OF RESEARCH IN NURSING Question 2 5 / 5 pts A study’s hypothesis that a new surgical approach produces safer outcomes in immunosuppressed patients is tested in a fourteen-site research study across the United States. Subjects at all sites are randomly selected and randomly assigned to experimental versus control groups. What study design is used in this research project? Model testing design Randomized controlled trial Quasi-experimental design Counterbalanced design 11/13/2020 Module 2 Quiz: 2208-NURS-5366-402-PRINC OF RESEARCH IN NURSING A randomized clinical trial (RCT) contains random assignment to experimental and clinical groups and very often is multi-site. A fully randomized design contains both random selection and random assignment. Quasi-experimental designs facilitate the search for knowledge and examination of causality in situations in which complete control is not possible. Such designs lack a control group, or lack random assignment to group. The model-testing design requires that all variables relevant to the model be measured, using correlational statistics. A large, heterogeneous sample is required. Crossover, or counterbalancing, is a strategy designed to guard against possible erroneous conclusions resulting from carryover effects. With counterbalancing, subjects are randomly assigned to a specific sequencing of treatment conditions. This approach distributes the carryover effects equally throughout all the conditions of the study, thus canceling them out. To prevent an effect related to time, the same amount of time must be allotted to each treatment, and the crossover point must be related to time, not to the condition of the subject.