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Spearman's Rho: Non-Parametric Correlation Test

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Questions and Answers

What is the primary advantage of using Spearman's Rho over other correlation coefficients?

It does not require assumptions of normality or linearity.

Which of the following is a characteristic of parametric tests?

They use sample statistics to make inferences about population parameters.

What is the primary difference between Spearman's Rho and other correlation coefficients?

It uses ranking instead of original values.

Why is Spearman's Rho considered a non-parametric test?

<p>It does not require assumptions of normality or linearity.</p> Signup and view all the answers

What is the main purpose of using Spearman's Rho correlation coefficient?

<p>To determine the strength of a non-linear relationship.</p> Signup and view all the answers

What is the main purpose of identifying variables in a research study?

<p>To identify the factors that can change</p> Signup and view all the answers

Which of the following is an example of a variable?

<p>Eating breakfast or not eating breakfast</p> Signup and view all the answers

Why is it important to understand the scale of measurement of a variable?

<p>To interpret the results accurately</p> Signup and view all the answers

What is the primary difference between eating breakfast and performance on a math quiz?

<p>One is a categorical variable and the other is a numerical variable</p> Signup and view all the answers

What type of variable is a person's performance on a math quiz?

<p>Interval variable</p> Signup and view all the answers

What determines the scale of measurement of a variable?

<p>The variable itself</p> Signup and view all the answers

Why is it important to understand the variables in a research study?

<p>To identify the factors that can change</p> Signup and view all the answers

What is the main purpose of measuring variables in a research study?

<p>To analyze the data statistically</p> Signup and view all the answers

What is the primary characteristic of variables measured on a nominal scale?

<p>The numbers have no value.</p> Signup and view all the answers

Why do researchers sometimes assign numeric values to non-numeric variables?

<p>To make the data easier to analyze.</p> Signup and view all the answers

What is the primary difference between nominal and ordinal scales?

<p>Nominal scales have no order, while ordinal scales do.</p> Signup and view all the answers

What is an example of a variable measured on an ordinal scale?

<p>Letter grades in a course.</p> Signup and view all the answers

What is the primary characteristic of variables measured on an ordinal scale?

<p>The order of the numbers matters.</p> Signup and view all the answers

Why are jersey numbers on football players an example of a nominal scale?

<p>Because the numbers have no inherent meaning.</p> Signup and view all the answers

What is the purpose of assigning numeric values to non-numeric variables?

<p>To make the data easier to analyze.</p> Signup and view all the answers

What is the key difference between nominal and ordinal scales in terms of order?

<p>Nominal scales do not have order, while ordinal scales do.</p> Signup and view all the answers

What is a characteristic of variables measured on a ratio scale?

<p>The differences between the units are meaningful.</p> Signup and view all the answers

Which of the following is an example of a ratio scale variable?

<p>Number of minutes in a commute</p> Signup and view all the answers

What is true about variables measured on an interval scale?

<p>The order and differences are meaningful, but the ratio is not.</p> Signup and view all the answers

What is a characteristic of variables measured on a nominal scale?

<p>The order does not matter.</p> Signup and view all the answers

What is a characteristic of variables measured on an ordinal scale?

<p>The order matters, but the differences do not.</p> Signup and view all the answers

What is the primary difference between ratio scales and interval scales?

<p>Ratio scales have meaningful ratios, while interval scales do not.</p> Signup and view all the answers

Which of the following is an example of a variable measured on an ordinal scale?

<p>Level of education</p> Signup and view all the answers

What is the primary purpose of using scales of measurement in research design?

<p>To understand the meaning of the variables.</p> Signup and view all the answers

What is the key characteristic of ordinal scales?

<p>The order of the levels is important but not the differences.</p> Signup and view all the answers

Which of the following is an example of a variable measured on an ordinal scale?

<p>Difficulty of a task (hard, medium, easy).</p> Signup and view all the answers

What is the main difference between interval scales and ordinal scales?

<p>The differences between the levels are important in interval scales, but not in ordinal scales.</p> Signup and view all the answers

What is an example of a variable measured on an interval scale?

<p>The temperature of a person's breakfast.</p> Signup and view all the answers

Why is it not correct to say that a temperature of 35 degrees is half as warm as a temperature of 70 degrees?

<p>Because temperature is measured on an interval scale, but the ratio is not meaningful.</p> Signup and view all the answers

What is the key difference between measuring the temperature of a person's breakfast and the rating of a company's customer service?

<p>One is measured on an ordinal scale, while the other is measured on an interval scale.</p> Signup and view all the answers

Why is it important to understand the difference between ordinal and interval scales?

<p>Because they have different mathematical properties that affect the interpretation of results.</p> Signup and view all the answers

What is the main advantage of using interval scales over ordinal scales?

<p>They provide more detailed information about the differences between the levels.</p> Signup and view all the answers

Study Notes

Parametric Tests

  • Parametric tests involve using sample statistics to make inferences about population parameters.

Spearman's Rho

  • Spearman's Rho is a correlation approach that doesn't require normality or linearity assumptions to be met.
  • This approach uses ranking, making it an alternative to traditional correlation methods.

Research Study on Breakfast and Math Performance

  • A study aims to investigate whether eating breakfast affects kids' focus and performance on a math quiz.
  • The researcher hypothesizes that students who eat a healthy breakfast will perform best, those who eat an unhealthy breakfast will perform moderately, and those who do not eat breakfast will perform poorly.

Variables and Measurement

  • In research, variables are factors that can change, such as whether a person eats breakfast or not, and performance on a math quiz.
  • Variables can be measured using different scales:
    • Nominal scale: deals with non-numeric variables, where the order of the units does not matter (e.g., eating breakfast: healthy, unhealthy, or none).
    • Ordinal scale: looks at variables where the order matters, but the differences between the units do not matter (e.g., letter grades: A, B, C, D, F).
    • Interval scale: measures variables where both the order and difference are meaningful, but the ratio of the units is not (e.g., temperature: 50°C, 60°C, 70°C).
    • Ratio scale: consists of variables where the order, difference, and ratio all matter (e.g., scores on a math quiz: 90, 45, 10).

Examples of Variables and Measurement

  • Nominal scale: jersey numbers in football, gender, race, and pool ball numbers.
  • Ordinal scale: letter grades, difficulty levels (hard, medium, easy), and order of finishing a race.
  • Interval scale: temperature, and customer service surveys (e.g., rating from 1 to 10).
  • Ratio scale: number of minutes in a commute, weight, height, and scores on a math quiz.

Importance of Measurement Scales

  • Understanding the measurement scale is crucial in psychological research, as it determines the type of statistical analysis and interpretation of results.

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