LDR800 Full Course Assignments Module 2 assignment

Introduction to SPSS/Frequency

You have previously worked with descriptive statistics. As noted previously, the most

commonly used descriptive statistics are measures of central tendency including

mean, median, and mode. In this assignment, you will watch some informative

videos to become familiar with SPSS, enter data, and then answer some basic

questions about a data set.

General Requirements:

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

Review the server access and/or install information for SPSS in the DC Network at https://dc.gcu.edu/documents/tools/researchtools/statistical-research-folder/spss-resources for information on how to access SPSS for 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 Turnitin.

Directions:

View the following:

SPSS for Beginners 1 — Introduction

SPSS for Beginners 2a: Frequency Counts

SPSS for Beginners 2b:

Descriptive Statistics and Z-scores

Graphing and Descriptive

Stats in SPSS With Dr. Ami Gates

Open SPSS and complete the following:

Obtain an output (as in the tutorials) with the following values

highlighted and upload it into LoudCloud:

Determine the statistics for each gender as follows:

Frequency Counts, Mean, Standard Deviation, Minimum, and Maximum

Graphing and Descriptive Stats in SPSS: Create a bar graph with gender

(axis X) and height (axis Y)

Upload the output into LC.

Data set:

Male: 74, 71, 75, 62

Female: 62, 68, 61, 71, 68, 80

 

 

MORE INFO 

Introduction to SPSS/Frequency

Introduction

The purpose of frequency tables is to provide a quick overview of how your data is distributed. This means that you can get an idea of how many people fall into each category and what happens if you add more categories. Frequency tables are very useful for getting a feel of how your data is spread, but they do have their limitations – especially when dealing with large datasets with many variables or groups. In this blogpost we’ll look at some examples of using frequencies with SPSS/Frequency software or just plain Excel!

SPSS is a statistical software package for analysis in social sciences.

SPSS is a statistical software package for analysis in social sciences, such as psychology and sociology. It was first released in 1983 by IBM and has since been purchased by various companies.

SPSS stands for Statistical Package for the Social Sciences, and it’s a free, open-source tool designed to help you analyze data from surveys or experiments.

Frequency tables are very useful for getting a feel of how your data is spread.

Frequency tables are very useful for getting a feel of how your data is spread and can be used to compare two or more groups. They are also useful for comparing two or more variables, especially if you want to see if there is a relationship between them.

For example, if you have 20 different pairs of shoes that all cost $100 each and then bought another pair that cost $150 each, the frequency table would show you the distribution for both types of shoes as well as their differences in price (shoes 1 vs 2) and total cost ($900 vs $950).

1. Open your data file in SPSS

• Open your data file in SPSS.

• Go to File -> Open, then select the name of your dataset and click “Open.”

2. Click on Analyze -> Descriptive Statistics – > Frequencies.

• Click on Analyze -> Descriptive Statistics – > Frequencies.

• Click on the button, or select it from the menu, or click on its tab if it’s not already selected there (this will vary depending on your operating system and version of SPSS).

3. Select Generation as the variable and click on “Statistics”. Check “Percentage” to add column % next to your frequency table

• Select Generation as the variable and click on “Statistics”. Check “Percentage” to add column % next to your frequency table.

• Click OK.

4. Click “OK”

• Click on “OK” to generate the table.

• You can click on the column headings to sort the table by that column. For example, if you want to see all of your data organized by age group, click “Age” and then click “OK.”

• You can also add a column showing what percentage each value represents in your sample. For example, if you have an age range with 10-year gaps between years (e.g., 20—30 or 30—40), then in order for this particular graph not to get cluttered up with too many lines at once, simply add another column labeled Age range (yrs). Now when we look at our data later on down below under SPSS/Frequency tables section where we’re going over how to read these tables together as part of our lesson plan discussion about frequency distributions; we’ll know exactly which years belong together because they’re all grouped together based upon their respective ages rather than just being lumped into one giant category called “all adults.”

Frequency tables are very useful for getting a feel of how your data is spread

Frequency tables are very useful for getting a feel of how your data is spread. If you have a lot of variables and you don’t know what the average value is, then it’s helpful to know how your data is distributed. For example, if there were two variables associated with gender (male vs female), we would want to see how many males and females each variable represented in our sample population.

In order for us to calculate this information from our dataset, we need some good old fashioned math! Let’s say we have 50 people who identify as “males.” We also have 50 people who identify as “females.” This means that there are 100 total observations (50 x 2) so now let’s figure out what percent those observations represent:

Conclusion

Frequency tables are very useful for getting a feel of how your data is spread.