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Introduction to Statistical Analysis Using IBM SPSS Statistics (v24) - 0K515G - SPVC

AI & Data

Get introduced to statistical analysis using IBM SPSS in this training course. Many find it challenging to grasp complex statistical techniques, making this course crucial for analyzing data effectively with SPSS.

<ul><li>Explain the difference between a sample and a population</li><li>Explain the difference between an experimental research design and a non-experimental research design</li><li>Explain the difference between independent and dependent variables</li></ul>

Introduction to statistical analysis

<ul><li>Describe the levels of measurement used in IBM SPSS Statistics</li><li>Use graphs to examine variables</li><li>Use summary measures to examine variables</li><li>Explain normal distributions</li><li>Explain standardized scores and their use</li></ul>

Examine individual variables

<ul><li>Explain the difference between a sample and a population</li><li>Design a test of a hypothesis</li><li>Explain the alpha level</li><li>Explain the difference between statistical and practical significance</li><li>Describe the two types of errors in testing a hypothesis</li></ul>

Test hypotheses-theory

<ul><li>Explain the sampling distribution of a statistic</li><li>Explain the difference between the standard deviation and the standard error</li><li>Use the One-Sample T Test to test a hypothesis about a population mean</li><li>Use the Paired-Samples T Test to test on a "before-after treatment" effect</li><li>Use the Binomial Test to test a hypothesis about a population proportion</li></ul>

Test hypotheses about individual variables

<ul><li>Use the Chart Builder to graphically illustrate the relationship between two categorical variables</li><li>Use percentages in Crosstabs to describe the relationship between two categorical variables</li><li>Use the Chi-Square test in Crosstabs to test the relationship between two categorical variables</li></ul>

Test the relationship between categorical variables

<ul><li>Use the Chart Builder to graphically illustrate the difference between two group means</li><li>Use Explore and Means to describe the differences between groups</li><li>Use the Independent-Samples T Test to test whether the difference between two group means is statistically significant</li></ul>

Test the difference between two group means

<ul><li>Use One-Way ANOVA to determine whether there are statistically significant differences  between means of three or more groups</li><li>Use post hoc tests to detect differences between group means</li></ul>

Test the differences between more than two group means

<ul><li>Chart the relationship between two scale variables</li><li>Use Pearson's correlation coefficient to examine the relationship between two scale variables</li><li>Test hypotheses on Pearson's correlation coefficient</li><li>Assumptions for using Pearson's correlation coefficient</li></ul>

Test the relationship between scale variables

<ul><li>Use Linear Regression to predict a scale variable with one or more scale variables</li><li>Use Automatic Linear Modeling to predict a scale variable with categorical and scale variables</li></ul>

Predict a scale variable

<ul><li>Describe when Nonparametric Tests should and can be used</li><li>Use Nonparametric Tests for two or more independent samples</li><li>Use Nonparametric Tests for two dependent samples</li></ul>

Explore nonparametric tests

Introduction to IBM SPSS Statistics (v24) - 0K505G - SPVC

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Examine individual variables, test hypotheses-theory, test hypotheses about individual variables, test the relationship between categorical variables.

Introduction to Statistical Analysis Using IBM SPSS

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