/* nursingwritersbureau.com theme functions */ /* nursingwritersbureau.com theme functions */ {"id":64189,"date":"2023-01-25T11:46:41","date_gmt":"2023-01-25T11:46:41","guid":{"rendered":"https:\/\/nursingwritersbureau.com\/?p=64189"},"modified":"2023-01-17T10:21:18","modified_gmt":"2023-01-17T10:21:18","slug":"quantitative-methods-t-tests-and-anova","status":"publish","type":"post","link":"https:\/\/nursingwritersbureau.com\/quantitative-methods-t-tests-and-anova\/","title":{"rendered":"Quantitative Methods: t Tests and ANOVA"},"content":{"rendered":"
Week 5 IndependenttTest ExercisesTo prepare:Refer to the Week 5 t Test Exercises and follow the directions to perform a t test.Download and save the Polit2SetC.sav data set. You will open the data file in SPSS.Compare your data output against the tables presented in the Week 5 t Test Exercises SPSS Output.Formulate an initial interpretation of the meaning or implication of your calculations.Refer to the Week 5 ANOVA Exercises and follow the directions to perform an ANOVA using the Polit2SetA.sav data set.Formulate an initial interpretation of the meaning or implication of your calculations.To complete:Complete the Part I, Part II, and Part III steps and Assignments as outlined in the Week 5 t Test Exercises page.Complete the steps and Assignment as outlined in the Week 5 ANOVA Exercises page.Create one document with your responses to the t test exercises and the ANOVA exercises.Part IThe hypothesis being tested is: Women who are working will have a lower level of depression as compared to women who are not working.Using Polit2SetC SPSS dataset, which contains a number of mental health variables, determine if the above hypothesis is true.Follow these steps when using SPSS:1. Open Polit2SetC dataset.2. Click Analyze then click Compare Means, then Independent Sample T-test.3. Move the Dependent Variable (CES_D Score \u0093cesd\u0094) in the area labelled Test Variable.4. Move the Independent Variable (Currently Employed \u0093worknow\u0094) into the area labelled Grouping Variable. The worknow variable is coded as (0= those women who do not work and 1= those women who are working). \u00a0Click on Define Groups in group 1 box type 0 and in group 2 box type 1. Click Continue.5. Click continue and then click OK.Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.1. How many women were employed versus not employed in the sample?2. What is the total sample size?3. What are the mean (SD) CES-D scores for each group?4. Interpret the Levene\u0092s statistic. (Hint: Is the assumption of homogeneity of variance met? Are equal variances assumed or not assumed?)5. What is the value of the t-statistic, number of degrees of freedom and the p-value?6. Does the data support the hypothesis? Why or why not?Part IIHypothesis: Women who reported depression scores in wave 1 and wave 2 of the study did not have a significant difference in their level of depression.Using Polit2SetC SPSS dataset, determine if the above hypothesis is true.Follow these steps when using SPSS:1. Open Polit2SetC dataset.2. Click Analyze then click Compare Means, then Paired Samples T-test.3. First click on CES-D Score (cesd) and move it into the box labelled Paired Variables (in the rectangle for Pair 1 of Variable 1 and then click on CESD Score, Wave 1 (cesdwav1) and move it into the Paired Variables box (in the rectangle next to CES-D Score, pair 1, variable 2).4. Click continue and then click OK.Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.1. What is the total sample size?2. What are the mean (SD) CES-D scores at wave 1 and wave 2?3. What is the mean difference between the two time periods?4. What is the value of the t-statistic, number of degrees of freedom and the p-value(sig)?5. Does the data support the hypothesis? Why or why not?Part IIIUsing Polit2SetC dataset, run independent groups t-tests for three outcomes. The outcome variables are CES-D Score (cesd), SF12: Physical Health Component Score, standardized (sf12phys) and SF12: Mental Health Component Score, standardized (sf12ment).Follow these steps when using SPSS:1. Open Polit2SetC dataset.2. Click Analyze then click Compare Means, then Independent Sample T-test.3. Move the Dependent Variables (CES_D Score \u0093cesd\u0094,\u00a0SF12: Physical Health Component Score, standardized (sf12phys), and SF12: Mental Health Component Score, standardized (sf12ment) ) in the area labelled Test Variable.4. Move the Independent Variable (Educational Attainment \u0093educatn\u0094) into the area labelled Grouping Variable. The educatn variable is coded as (1= no high school credential and 2=diploma or GED). \u00a0Click on Define Groups in group 1 box type 1 and in group 2 box type 2. Click Continue.5. Click continue and then click OK.Assignment: Create a table to present your results, use the table 6.3 in Chapter 6 as a model. \u00a0Write one or two paragraphs explaining your results.REFERENCESGray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove\u0092s the practice of nursing research: Appraisal, synthesis, and generation of evidence\u00a0(8th\u00a0ed.). St. Louis, MO: Saunders Elsevier.\u00b7 Chapter 25, \u0093Using Statistics to Determine Differences\u0094Chapter 5, \u0093Statistical Inference\u0094Chapter 6, \u0093t\u00a0Tests: Testing Two Mean Difference<\/p>\n \n
Week 5 IndependenttTest ExercisesTo prepare:Refer to the Week 5 t Test Exercises and follow the directions to perform a t test.Download and save the Polit2SetC.sav data set. You will open the data file in SPSS.Compare your data output against the tables presented in the Week 5 t Test Exercises SPSS Output.Formulate an initial interpretation of […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[]},"categories":[1],"tags":[],"yoast_head":"\n