Statistics Express: Statistics Express:
Mini Insights of Statistics
Welcome to Statistics Express, the new section of Statistical Video Pills.
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Here you will find short and practical videos on different statistical topics, designed to make statistics understandable and easy for everyone with the Statistics for Data Analysis Solution based on IBM SPSS Statistics technology.
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The videos are organized in chronological order: starting with the most basic topics and progressing to more advanced ones.
DATA MANAGEMENT:
Data Upload and Data Entry
In this video, we will illustrate the process of importing data into Statistics for Data Analysis from various file formats, such as CSV and Excel.
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We will also explore the structure of the data, known as "flat files," for a better understanding of their organization.
DATA MANAGEMENT:
Overview, Data Sorting, Calculate New Variable
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In this video, we demonstrate the new visualization feature in SPSS that allows you to see an overview of a specific dataset.
We will show how to view dataset information and explore the available options for sorting data. Finally, we will learn how to calculate new variables within the software, making data analysis more efficient and customized.
DATA MANAGEMENT:
Variable Transformation
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The objectives of this mini video are two:
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Restructuring String Variables: Make string variables homogeneous, improving the quality and consistency of your data.
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Automatic Recoding: Learn to transform variables from string to numeric categorical automatically, simplifying data analysis and interpretation.
DATA MANAGEMENT:
Visual Binning and Duplicate Cases
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In this video we discuss:
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Visual Collection: how to collect and visualize data more intuitively and immediately, simplifying the analysis process.
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Identifying Duplicate Cases: how to identify and manage duplicates within your datasets to improve data quality.
DATA MANAGEMENT:
Select Cases, Weight Cases, Split File
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In this short video, we will explore three tools to make your data analysis even more targeted and reliable:
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Select Cases: Focus only on the data that matters.
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Weight Cases: Ensure reliable analyses even with non-standard datasets.
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Split File: Stratify and gain deeper insights into each specific group.
T - TETS for indipendent samples
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In this video, we'll explain the independent samples t-test and provide a practical example using Statistics for Data Analysis. We will cover: - test assumptions: when you can actually apply the test; - Levene's test: to check for homoscedasticity. This means we'll verify if there is equal variance between samples; - p-value analysis: to either accept or reject the null hypothesis that the means of the groups are equal.