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IBM SPSS Statistics 19 Training
- A. Data Entry
- - Working with cases, variables, cells, and values
  - Switching between Data and Variable views
  - Editing a variable name
  - Defining a variable type
  - Assigning variable width and decimals
  - Assigning variable labels
  - Assigning value labels
  - Specifying missing values
  - Keying numeric and string values
  - Adding and deleting variables
  - Adding and deleting cases
- B. Data Management
- - Preparing data for analysis
  - Making a copy of a data set
  - Correcting mistakes using Undo and Redo
  - Modifying an existing variable using Compute Variable
  - Creating a new variable using Compute Variable
  - Creating a frequency table for a single variable
  - Converting a string to a numeric variable using Automatic Recode
  - Reverse-scoring a variable using Recode
  - Sorting cases
  - Splitting the data based on variable values
  - Selecting cases based on variable values
- C. Statistical Analysis
- - Analyzing data
  - Navigating inside an Output window
  - Copying output to a Microsoft^® Word document
  - Saving output files
  - Describing a sample
  - Creating a frequency table for a single variable
  - Comparing frequencies across a single grouping variable using a table
  - Computing the mean for a single variable
  - Computing the median for a single variable
  - Computing the mode for a single variable
  - Comparing means across a single grouping variable using a table
  - Comparing means across multiple grouping variables using a table
  - Computing the standard deviation for a single variable
  - Computing the variance, range, and inter quartile range for a single variable
  - Comparing standard deviations across a single grouping variable using a table
  - Comparing standard deviations across multiple grouping variables using a table
  - Computing a bivariate correlation coefficient
  - Testing hypotheses about a population
  - Conducting a one-sample T test
  - Conducting an independent-samples T test
  - Conducting a paired-samples T test
  - Conducting a one-way analysis of variance
  - Conducting a two-way analysis of variance
- D. Analyzing Data Graphically
- - Creating a stem-and-leaf plot
  - Creating a box-and-whisker plot
  - Identifying outlying values
  - Creating a histogram of a single variable
  - Comparing means across a single grouping variable using a bar chart
  - Comparing means across a single grouping variable using a line graph
  - Creating a simple bivariate scatter plot
  - Plotting a simple regression line

IBM SPSS Statistics 19 Training

Platform: PC

IBM^® SPSS^® Statistics is a comprehensive, easy-to-use set of data and predictive analytics tools for business users, analysts and statistical programmers. Learn about the capabilities of IBM SPSS Statistics in this online training series.

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A. Data Entry

		Key #	Length
1.	Working with cases, variables, cells, and values	84725	0:56
2.	Switching between Data and Variable views	84726	0:48
3.	Editing a variable name	84727	0:59
4.	Defining a variable type	84728	1:30
5.	Assigning variable width and decimals	84729	0:59
6.	Assigning variable labels	84730	0:58
7.	Assigning value labels	84731	1:38
8.	Specifying missing values	84732	1:25
9.	Keying numeric and string values	84733	2:15
10.	Adding and deleting variables	84734	1:21
11.	Adding and deleting cases	84735	0:53

B. Data Management

		Key #	Length
1.	Preparing data for analysis	84736	0:36
2.	Making a copy of a data set	84737	1:14
3.	Correcting mistakes using Undo and Redo	84738	0:39
4.	Modifying an existing variable using Compute Variable	84739	0:36
5.	Creating a new variable using Compute Variable	84740	1:21
6.	Creating a frequency table for a single variable	84741	0:47
7.	Converting a string to a numeric variable using Automatic Recode	84742	1:38
8.	Reverse-scoring a variable using Recode	84743	2:32
9.	Sorting cases	84744	0:35
10.	Splitting the data based on variable values	84745	1:06
11.	Selecting cases based on variable values	84746	1:45

C. Statistical Analysis

		Key #	Length
1.	Analyzing data	84747	0:27
2.	Navigating inside an Output window	84748	0:42
3.	Copying output to a Microsoft^® Word document	84749	0:42
4.	Saving output files	84750	1:02
5.	Describing a sample	84751	0:56
6.	Creating a frequency table for a single variable	84752	0:52
7.	Comparing frequencies across a single grouping variable using a table	84753	0:56
8.	Computing the mean for a single variable	84754	0:35
9.	Computing the median for a single variable	84755	0:32
10.	Computing the mode for a single variable	84756	0:29
11.	Comparing means across a single grouping variable using a table	84757	0:50
12.	Comparing means across multiple grouping variables using a table	84758	1:45
13.	Computing the standard deviation for a single variable	84759	0:36
14.	Computing the variance, range, and inter quartile range for a single variable	84760	0:40
15.	Comparing standard deviations across a single grouping variable using a table	84761	0:50
16.	Comparing standard deviations across multiple grouping variables using a table	84762	1:26
17.	Computing a bivariate correlation coefficient	84763	0:43
18.	Testing hypotheses about a population	84764	0:51
19.	Conducting a one-sample T test	84765	0:56
20.	Conducting an independent-samples T test	84766	2:22
21.	Conducting a paired-samples T test	84769	1:40
22.	Conducting a one-way analysis of variance	84767	1:06
23.	Conducting a two-way analysis of variance	84768	1:52

D. Analyzing Data Graphically

		Key #	Length
1.	Creating a stem-and-leaf plot	84770	1:16
2.	Creating a box-and-whisker plot	84771	2:18
3.	Identifying outlying values	84772	1:46
4.	Creating a histogram of a single variable	84773	0:46
5.	Comparing means across a single grouping variable using a bar chart	84774	1:43
6.	Comparing means across a single grouping variable using a line graph	84775	1:36
7.	Creating a simple bivariate scatter plot	84776	1:12
8.	Plotting a simple regression line	84777	0:42

Tutorial series by Christopher Boldon

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