DESCRIPTIVE STATISTICS

Descriptive Statistics - Nursing
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Assignment 2: Descriptive Statistics This week, you explore key statistical concepts related to data and problem solving through the completion of the following exercises using SPSS and the information found in your Statistics and Data Analysis for Nursing Research textbook. The focus of this assignment is to become familiar with the SPSS data analysis software and to develop an understanding of how to calculate descriptive statistics and make conclusions based on those calculations. As you formulate your responses, keep in mind that descriptive statistics only allow you to make conclusions and recommendations for the sample at hand—not for the larger population to which that sample may belong. To prepare: · Review the Statistics and Data Analysis for Nursing Research chapters assigned in this week’s Learning Resources. Pay close attention to the examples presented, as they provide information that will be useful when you complete the software exercise this week. You may also wish to review the Research Methods for Evidence-Based Practice video resources to familiarize yourself with the software. · Refer to the  Week 4 Descriptive Statistics Assignment page  and follow the directions to calculate descriptive statistics for the data provided using SPSS software. If you run into any difficulties or problems, post them to the Week 4 Discussion 2 area. · Download and save the  Polit2SetA.sav  data set. You will open the data file in SPSS. · Compare your data output against the tables presented in the  Week 4 Descriptive Statistics SPSS Output document . This will enable you to become comfortable with defining variables, entering data, and creating tables and graphs. · 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 Assignment as outlined in the  Week 4 Descriptive Statistics Assignment page . Learning Resources Required Media Laureate Education, Inc. (Executive Producer). (2011). Research methods for evidence-based practice: Quantitative research: Data analysis. Baltimore, MD: Author.   Note: The approximate length of this media piece is 10 minutes.   In this week’s video, the presenter describes challenges to collecting and utilizing quantitative data and offers suggestions for assessing and improving data quality. The strategic use of quantitative data by health care organizations is also considered.   0:00 / 9:46 Accessible player --Downloads--Download Video w/CCDownload AudioDownload Transcript Research By Design. (2017, November 30). 01 SPSS for Beginners – How to use SPSS introduction [Video File]. Retrieved from https://www.youtube.com/watch?v=_zFBUfZEBWQ Laureate Education (Producer). (2016). Descriptive statistics [Video File]. Baltimore, MD: Author. Retrieved from http://studyhall.laureate.net/research/quantitative-reasoning-and-analysis-resources-rsch-8210/ 0:00 / 7:20 Accessible player --DownloWeek 4 Descriptive Statistics Review all documents in the Week 4 tab. The SPSS output is provided so you can check your answers. Turn in this document with the title: WkAssn_LastnameFirstInitial_DATE. Do not submit as a paper, no APA ciattions or refernce list is required. Do not submitt SPSS output (tables) as answers to the questions. Part I Using the Polit2SetA data set, run descriptive statistics on the following variables: respondent’s age (age) and highest school grade completed (higrade). Create a frequency distribution for the variables: race and ethnicity (racethn) and currently employed (worknow). Create a table, example given, (in APA format) summarizing the results, using the below table shell as a model. The numbers in the table below are “dummy varaibles” and should be replaced with the numbers from the SPSS ouput. Write a paragraph summarizing the information in the table. Table 1. Demographic Data (N = 30) n \% M (SD) Age (in years) 30 15(2.4) Highest School Grade Completed 29 11(1.2) Race and Ethnicity Black, Not Hispanic 14 (46.67) Hispanic 8 (26.67) White, Not Hispanic 6 (20.0) Other 2 (6.66) Currently Employed Yes 27 (90) No 3 (10) Note. Differences in sample size are due to missing data. Follow these steps when using SPSS: 1. Open Polit2SetA data set. 2. Click on Analyze, then click on Descriptives Statistics, then Descriptives. 3. Click on the first continuous variable you wish to obtain descriptives for (respondent’s age), and then click on the arrow button and move it into the Variables box. Then click on highest school grade completed and then click on the arrow button and move it into the Variables box. 4. Click on the Options button in the upper-right corner. Click on mean, standard deviation, minimum, maximum, and skewness. 5. Click on Continue and then click on OK. To run the frequency distribution in SPSS, do the following: 1. Click on Analyze, then click on Descriptive Statistics, then Frequencies. 2. Click on the first categorical variable you wish to obtain a frequency for (race and ethnicity), and then click on the arrow button and move it into the Variables box. Then click on currently employed, and then click on the arrow button and move it into the Variables box. Click on the Statistics button in the upper-right corner, then in the Dispersion box click on Minimum and Maximum. 3. Click on Continue and then click on OK. 4. Check your work with the SPSS Week 4 Descriptive Statistics SPSS Output document. Assignment: Create a table (in APA format) summarizing the results, using the below table shell as a model. Write a paragraph summarizing the information in the table. Part II For the variables respondent’s age (age) and highest school grade completed (higrade) create a histogram with a normal curve displayed over the histogram. Do not submit the SPSS output (tables) as the answer. To create a histogram for respondent’s age in SPSSWeek 4 Descriptive Statistics Exercises SPSS Output Part I Respondent’s Age Descriptive Statistics N Minimum Maximum Mean Std. Deviation Skewness Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Respondents age at time of interview Valid N (listwise) 1000 1000 19.378 49.430 36.63733 6.198741 -.374 .077 Highest School Grade Completed Descriptive Statistics N Minimum Maximum Mean Std. Deviation Skewness Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Highest school grade completed Valid N (listwise) 989 989 1 16 11.28 1.561 -.727 .078 Race and Ethnicity Race/ethnicity Frequency Percent Valid Percent Cumulative Percent Valid Missing Black, not Hispanic 803 80.3 80.5 80.5 Hispanic 128 12.8 12.8 93.3 White, not Hispanic 53 5.3 5.3 98.6 Other 14 1.4 1.4 100.0 T otal Refused DK T otal 998 1 1 2 1000 99.8 .1 .1 .2 100.0 100.0 T otal Currently Employed Currently employed? Frequency Percent Valid Percent Cumulative Percent Valid Missing No 546 54.6 54.7 54.7 Yes 452 45.2 45.3 100.0 T otal System 998 2 1000 99.8 .2 100.0 100.0 T otal Part II Part III Family Income Descriptive Statistics N Minimum Maximum Mean Std. Deviation Skewness Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Std. Error Family income prior month, all sources Valid N (listwise) 895 895 $0 $6,593 $1,172.59 $26.345 $788.153 2.030 .082
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Throughout your nurse practitioner program Vignette Understanding Gender Fluidity Providing Inclusive Quality Care Affirming Clinical Encounters Conclusion References Nurse Practitioner Knowledge Mechanics and word limit is unit as a guide only. The assessment may be re-attempted on two further occasions (maximum three attempts in total). All assessments must be resubmitted 3 days within receiving your unsatisfactory grade. You must clearly indicate “Re-su Trigonometry Article writing Other 5. June 29 After the components sending to the manufacturing house 1. In 1972 the Furman v. Georgia case resulted in a decision that would put action into motion. 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Georgia (1972) is a landmark case that involved Eighth Amendment’s ban of unusual and cruel punishment in death penalty cases (Furman v. Georgia (1972) With covid coming into place In my opinion with Not necessarily all home buyers are the same! When you choose to work with we buy ugly houses Baltimore & nationwide USA The ability to view ourselves from an unbiased perspective allows us to critically assess our personal strengths and weaknesses. This is an important step in the process of finding the right resources for our personal learning style. Ego and pride can be · By Day 1 of this week While you must form your answers to the questions below from our assigned reading material CliftonLarsonAllen LLP (2013) 5 The family dynamic is awkward at first since the most outgoing and straight forward person in the family in Linda Urien The most important benefit of my statistical analysis would be the accuracy with which I interpret the data. 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The team is currently using an I would start off with Linda on repeating her options for the child and going over what she is feeling with each option.  I would want to find out what she is afraid of.  I would avoid asking her any “why” questions because I want her to be in the here an Summarize the advantages and disadvantages of using an Internet site as means of collecting data for psychological research (Comp 2.1) 25.0\% Summarization of the advantages and disadvantages of using an Internet site as means of collecting data for psych Identify the type of research used in a chosen study Compose a 1 Optics effect relationship becomes more difficult—as the researcher cannot enact total control of another person even in an experimental environment. Social workers serve clients in highly complex real-world environments. 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