Tag: Correlation
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What has Linear Regression ever done for you?
Understanding Linear Regression in Media Studies This webpage offers a clear and practical introduction to linear regression tailored for students in media studies. It explains core concepts like the regression equation, slope, and intercept, and connects them directly to real-world media scenarios—such as predicting viewer engagement based on video length. The resource includes: Step-by-step guidance…
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Correlation (Scale Variables)
Correlation for scale variables is often assessed using the Pearson correlation coefficient, denoted as $$ r $$, which measures the linear relationship between two continuous variables (Statology, n.d.; Scribbr, n.d.). The value of $$ r $$ ranges from -1 to 1, where -1 indicates a perfect negative linear correlation, 0 indicates no linear correlation, and…
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Correlation Ordinal Variables
Correlation for ordinal variables is typically assessed using Spearman’s rank correlation coefficient, which is a non-parametric measure suitable for ordinal data that does not assume a normal distribution (Scribbr, n.d.). Unlike Pearson’s correlation, which requires interval or ratio data and assumes linear relationships, Spearman’s correlation can handle non-linear monotonic relationships and is robust to outliers.…
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Correlation (Chapter 8)
Understanding Correlation in Media Research: A Look at Chapter 8 Correlation analysis is a fundamental statistical tool in media research, allowing researchers to explore relationships between variables and draw meaningful insights. Chapter 8 of “Introduction to Statistics in Psychology” by Howitt and Cramer (2020) provides valuable information on correlation, which can be applied to media…
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Guide SPSS How to: Correlation
Calculating Correlation in SPSS Step 1: Prepare Your Data Step 2: Access the Correlation Analysis Tool Step 3: Select Variables Step 4: Choose Correlation Coefficient Step 5: Additional Options Step 6: Run the Analysis Interpreting the Results Correlation Coefficient Statistical Significance Sample Size Remember, correlation does not imply causation. Always interpret your results in the…
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Bivariate Analysis: Understanding Correlation, t-test, and Chi Square test
Bivariate analysis is a statistical technique used to examine the relationship between two variables. This type of analysis is often used in fields such as psychology, economics, and sociology to study the relationship between two variables and determine if there is a significant relationship between them. Correlation Correlation is a measure of the strength and…