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# Example: Introduction to SPSS for Quantitative Analysis

RES-831 Example: Introduction to SPSS for Quantitative Analysis

This is for example purposes only. The questions below have been modified so they do not exactly match what is in the actual assignment. The number of variables and the data are not identical to your data set for Census.sav; this example is for illustrative purposes only. Note that appropriate tables and charts are copied from the SPSS output into the Word document under each question to support the written answer. This is how statistical results are reported and then supported with the data in the results sections of dissertations and journal articles.

Learning Activity 3.9 – Example Solution 1. Run the Frequencies procedure on the following variable: race. What is the scale of measurement for this variable? Request appropriate summary statistics and charts.

Answer: Variable “race” is categorical” and the summary table below provides the frequency for each race and the associated visual pie chart for categories.

 RACE OF RESPONDENT Frequency Percent Valid Percent Cumulative Percent Valid WHITE 1559 77.1 77.1 77.1 BLACK 281 13.9 13.9 91.0 OTHER 183 9.0 9.0 100.0 Total 2023 100.0 100.0
1. For the variable “race” is it appropriate to use the median? What conclusions can you draw about the distributions of this variable?

Answer: This variable is categorical, so median is not a good summary statistic to use. This variable is not normally distributed

1. What percent of respondents were living with their both mother and father with they were 16 years old?

Answer: 68.0% of respondents were living with both their mother and father when they were 16 years old, as highlighted in the table and bar chart below.

 LIVING WITH PARENTS WHEN 16 YRS OLD Frequency Percent Valid Percent Cumulative Percent Valid OTHER 67 3.3 3.3 3.3 MOTHER & FATHER 1375 68.0 68.0 71.3 FATHER & STPMOTHER 25 1.2 1.2 72.5 MOTHER & STPFATHER 119 5.9 5.9 78.4 FATHER 50 2.5 2.5 80.9 MOTHER 300 14.8 14.8 95.7 MALE RELATIVE 12 .6 .6 96.3 FEMALE RELATIVE 36 1.8 1.8 98.1 M AND F RELATIVES 39 1.9 1.9 100.0 Total 2023 100.0 100.0

Copy/Paste and Insert the Full SPSS Output for this assignment here. See Example Below:

This is what the output in SPSS looks like:

Click on the Edit tab, and then “Select All”. After you select all, then click on the “Copy” button. This will allow you to select your entire output and then copy it to your computer clipboard. Then open a new word document and “Paste” the output into your word document. You may have to “Paste Special” depending on your version of Word. Scroll down to see what the output will look like in word.

Output in Word using the following sequence

1. In SPSS: After you run your analysis and the output comes up then click Edit>Select All>Copy
2. Then In Word, in a new document, click past and your output will show up below.

GET

DATASET NAME DataSet1 WINDOW=FRONT.

FREQUENCIES VARIABLES=price cost calories sodium alcohol

/STATISTICS=STDDEV VARIANCE MINIMUM MAXIMUM MEAN MEDIAN MODE

/HISTOGRAM NORMAL

/ORDER=ANALYSIS.

Frequencies

 Notes Output Created 19-JAN-2015 19:07:34 Comments Input Data C:\Users\Cynthia\Downloads\Drinks (2).sav Active Dataset DataSet1 File Label SPSS/PC+ Filter Weight Split File N of Rows in Working Data File 35 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on all cases with valid data. Syntax FREQUENCIES VARIABLES=price cost calories sodium alcohol/STATISTICS=STDDEV VARIANCE MINIMUM MAXIMUM MEAN MEDIAN MODE/HISTOGRAM NORMAL/ORDER=ANALYSIS. Resources Processor Time 00:00:02.12 Elapsed Time 00:00:01.92

 Statistics Price per 6-pack Cost per 12 Fluid Ounces Calories per 12 Fluid Ounces Sodium per 12 Fluid Ounces in mg Alcohol by Volume (in %) N Valid 35 35 35 35 35 Missing 0 0 0 0 0 Mean 3.0274 .5057 139.77 14.66 4.5771 Median 2.6500 .4400 147.00 15.00 4.7000 Mode 2.59 .43 144 7a 4.70 Std. Deviation 1.12343 .18732 24.447 6.145 .60298 Variance 1.262 .035 597.652 37.761 .364 Minimum 1.59 .27 68 6 2.30 Maximum 7.19 1.20 175 27 5.50 a. Multiple modes exist. The smallest value is shown

Frequency Table

 Price per 6-pack Frequency Percent Valid Percent Cumulative Percent Valid 1.59 1 2.9 2.9 2.9 1.69 1 2.9 2.9 5.7 1.79 2 5.7 5.7 11.4 2.15 1 2.9 2.9 14.3 2.29 2 5.7 5.7 20.0 2.39 1 2.9 2.9 22.9 2.49 2 5.7 5.7 28.6 2.55 1 2.9 2.9 31.4 2.59 5 14.3 14.3 45.7 2.63 1 2.9 2.9 48.6 2.65 2 5.7 5.7 54.3 2.73 1 2.9 2.9 57.1 2.75 1 2.9 2.9 60.0 2.79 1 2.9 2.9 62.9 2.89 1 2.9 2.9 65.7 2.99 2 5.7 5.7 71.4 3.15 1 2.9 2.9 74.3 3.35 1 2.9 2.9 77.1 3.65 1 2.9 2.9 80.0 4.22 1 2.9 2.9 82.9 4.39 1 2.9 2.9 85.7 4.55 1 2.9 2.9 88.6 4.59 2 5.7 5.7 94.3 4.75 1 2.9 2.9 97.1 7.19 1 2.9 2.9 100.0 Total 35 100.0 100.0

 Cost per 12 Fluid Ounces Frequency Percent Valid Percent Cumulative Percent Valid .27 1 2.9 2.9 2.9 .28 1 2.9 2.9 5.7 .30 2 5.7 5.7 11.4 .36 1 2.9 2.9 14.3 .38 2 5.7 5.7 20.0 .40 1 2.9 2.9 22.9 .42 2 5.7 5.7 28.6 .43 6 17.1 17.1 45.7 .44 3 8.6 8.6 54.3 .46 2 5.7 5.7 60.0 .47 1 2.9 2.9 62.9 .48 1 2.9 2.9 65.7 .50 2 5.7 5.7 71.4 .53 1 2.9 2.9 74.3 .56 1 2.9 2.9 77.1 .61 1 2.9 2.9 80.0 .70 1 2.9 2.9 82.9 .73 1 2.9 2.9 85.7 .76 1 2.9 2.9 88.6 .77 2 5.7 5.7 94.3 .79 1 2.9 2.9 97.1 1.20 1 2.9 2.9 100.0 Total 35 100.0 100.0

 Calories per 12 Fluid Ounces Frequency Percent Valid Percent Cumulative Percent Valid 68 1 2.9 2.9 2.9 72 1 2.9 2.9 5.7 97 1 2.9 2.9 8.6 99 1 2.9 2.9 11.4 102 1 2.9 2.9 14.3 113 1 2.9 2.9 17.1 135 1 2.9 2.9 20.0 136 1 2.9 2.9 22.9 140 1 2.9 2.9 25.7 144 5 14.3 14.3 40.0 145 3 8.6 8.6 48.6 147 2 5.7 5.7 54.3 149 4 11.4 11.4 65.7 150 1 2.9 2.9 68.6 151 1 2.9 2.9 71.4 152 2 5.7 5.7 77.1 153 1 2.9 2.9 80.0 154 2 5.7 5.7 85.7 155 1 2.9 2.9 88.6 157 1 2.9 2.9 91.4 162 1 2.9 2.9 94.3 170 1 2.9 2.9 97.1 175 1 2.9 2.9 100.0 Total 35 100.0 100.0

 Sodium per 12 Fluid Ounces in mg Frequency Percent Valid Percent Cumulative Percent Valid 6 2 5.7 5.7 5.7 7 4 11.4 11.4 17.1 8 3 8.6 8.6 25.7 10 2 5.7 5.7 31.4 11 2 5.7 5.7 37.1 13 2 5.7 5.7 42.9 14 1 2.9 2.9 45.7 15 4 11.4 11.4 57.1 17 4 11.4 11.4 68.6 18 2 5.7 5.7 74.3 19 3 8.6 8.6 82.9 21 1 2.9 2.9 85.7 23 1 2.9 2.9 88.6 24 2 5.7 5.7 94.3 27 2 5.7 5.7 100.0 Total 35 100.0 100.0

 Alcohol by Volume (in %) Frequency Percent Valid Percent Cumulative Percent Valid 2.30 1 2.9 2.9 2.9 2.90 1 2.9 2.9 5.7 3.70 1 2.9 2.9 8.6 4.10 1 2.9 2.9 11.4 4.20 2 5.7 5.7 17.1 4.30 1 2.9 2.9 20.0 4.40 1 2.9 2.9 22.9 4.50 2 5.7 5.7 28.6 4.60 4 11.4 11.4 40.0 4.70 9 25.7 25.7 65.7 4.90 4 11.4 11.4 77.1 5.00 5 14.3 14.3 91.4 5.10 1 2.9 2.9 94.3 5.20 1 2.9 2.9 97.1 5.50 1 2.9 2.9 100.0 Total 35 100.0 100.0

Histogram

Understanding the data sampling procedure and the description of the data is critical to accurately interpreting the results of a study. In this assignment, you will practice describing data from an SPSS data set.

General Requirements:

Use the following information to ensure successful completion of the assignment:

• Refer to the Topic 1 assignment, “SPSS: Download and Install.” As a result of completing that assignment, you should have downloaded and installed SPSS on your computer. You will use the SPSS software in this assignment.
• Refer to the SPSS introductory video found at  https://youtu.be/_zFBUfZEBWQ .
• Access the document, “Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide” to complete the assignment. It is attached to this assignment.
• Download the file “Census.sav” and open it with SPSS. Use the data to complete the assignment.
• Refer to the document, “Example: Introduction to SPSS for Quantitative Analysis” attached to this assignment.
• Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
• You are not required to submit this assignment to LopesWrite.

Directions:

Open the attached document, “Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide.”

Carefully read the following lessons in the Guide:

• Lesson 0: Course Introduction
• Lesson 1: Introduction to Statistical Analysis
• Lesson 2: Understanding Data Distributions
• Lesson 3: Data Distributions for Categorical Variables

As you read, work through all the tasks in the sections labeled, “Procedure: …,” and complete the “Apply Your Knowledge” activities within each lesson. These activities are designed to help you learn to navigate the SPSS program and build your understanding of statistical analysis. You will not submit your work on these activities; they are for your personal practice in learning SPSS. Note that not every lesson has these components.

Complete the tasks in section 3.9 Learning Activity in Lesson 3: Data Distributions for Categorical Variables by doing the following:

• Locate the data set “Census.sav” and open it with SPSS.
• Run the Frequencies procedure as directed in question 1.
• Answer questions 1-3 in the activity based on your observations of the SPSS output.
• Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document with your answers to the questions for submission to the instructor.  The appropriate tables and charts must be copied from the SPSS output into the Word document under each related question to support the written answer.  The SPSS output must be included in the submission with the problem set answers in order to receive full credit for the assignment. Note: If your output is large, you may need to reduce the size by compressing it. For instructions on how to compress a file, please  click here .

Following the pasted image of the SPSS output in the same Word document, write a reflection (250-500 words) describing the following:

2. How you overcame those challenges to complete the assignment.
3. Your overall perceptions of using SPSS for doing quantitative analysis.
4. How you build on your introductory knowledge of SPSS as you begin to define your dissertation topic and methodological approach.

Submit to the instructor the single Word document with the following items: