Descriptive Statistics

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 (see attached file)
  • Download      and save the Polit2SetA.sav (see      attached file) 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 (see attached file) 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:

Due Tomorrow Saturday 09/23/17 by 8pm
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.
Introduction to SPSS”
Used by permission from SPSSVideoTutor.com A division of ConsumerRaters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USA
Descriptive Statistics”
Used by permission from SPSSVideoTutor.com A division of ConsumerRaters LLC., 1121 S Military Trail, 314, Deerfield Beach, FL 33442, USA
Note: The approximate length of this media piece is 12 minutes.
Note: The approximate length of this media piece is 11 minutes.
Top of Form
Required Readings
Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

  • Chapter      21, “Introduction to Statistical Analysis”

This chapter discusses the concepts of statistical analysis with regard to hypothesis testing. The chapter also identifies and defines common statistical terminology.
Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle River, NJ: Pearson Education Inc.

  • Chapter      1, “Introduction to Data Analysis in an Evidence-Based Practice      Environment”

This chapter provides an introduction to quantitative and qualitative data in evidence-based practice. The chapter introduces levels of measurement and types of statistical analyses relevant to different types of research studies.

  • Chapter      2, “Frequency Distributions: Tabulating and Displaying Data”

Chapter 2 discusses frequency distributions as well as the different methods of presenting data, especially when data are very extensive. The chapter includes information on the use of bar charts, pie charts, histograms, and frequency polygons.

  • Chapter      3, “Central Tendency, Variability, and Relative Standing”

This chapter examines the many ways data distribution for a quantitative variable can be described through shape, central tendency, and variability.
Software
IBM SPSS Statistics Standard GradPack (current version). Available in Windows and Macintosh versions. Please refer to the IBM SPSS Software area in the Course Overview section on the left navigation bar for more information on how to install, register, and license this software.
Optional Resources
Bilheimer, L. T., & Klein, R. J. (2010). Data and measurement issues in the analysis of health disparities. Health Services Research, 45(5), 1489–1507. doi:10.1111/j.1475-6773.2010.01143.x
Granberg-Rademacker, J. S. (2010). An algorithm for converting ordinal scale measurement data to interval/ratio scale. Educational & Psychological Measurement, 70(1), 74–90.
This site provides step-by-step procedures and screenshots for working with SPSS.
Walden University. (n.d.). Descriptive statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_descriptive_stats.html

Week 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
Respondent’s age at time of
interview
1000 19.378 49.430 36.63733 6.198741 -.374 .077
Valid N (listwise) 1000
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
989 1 16 11.28 1.561 -.727 .078
Valid N (listwise) 989
 
Race and Ethnicity
Race/ethnicity
Frequency Percent Valid Percent
Cumulative
Percent
Valid 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
Total 998 99.8 100.0
Missing Refused 1 .1
DK 1 .1
Total 2 .2
Total 1000 100.0
 
 
 
Currently Employed
Currently employed?
Frequency Percent Valid Percent
Cumulative
Percent
Valid No 546 54.6 54.7 54.7
Yes 452 45.2 45.3 100.0
Total 998 99.8 100.0
Missing System 2 .2
Total 1000 100.0
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
895 $0 $6,593 $1,172.59 $26.345 $788.153 2.030 .082
Valid N (listwise) 895
 
 
 
 

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