L9 | Variables and Statistics

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Questions and Answers

When formulating a hypothesis, what is essential?

  • Ignoring study subjects.
  • Omitting the research variables.
  • Defining the variables. (correct)
  • Defining the null hypothesis.

Which of the following isn't directly influenced by the variables in a research study?

  • The budget allocation for the study. (correct)
  • The way to collect data
  • The methodological process to be followed.
  • The statistical tests that can be used.

A researcher is studying the effect of a new drug on blood pressure. What represents the dependent variable in this study?

  • The dosage of the new medication
  • The age of the participants
  • The blood pressure of the patients. (correct)
  • The new medication used.

Which of the following best describes a confounding variable?

<p>A variable that influences both the independent and dependent variables. (A)</p> Signup and view all the answers

What characteristic distinguishes qualitative variables from quantitative variables?

<p>Qualitative variables have non-numerical modalities. (C)</p> Signup and view all the answers

Which type of qualitative variable is characterized by categories with no inherent order or hierarchy?

<p>Nominal. (C)</p> Signup and view all the answers

A researcher is gathering data on patient satisfaction using a scale of 'very dissatisfied,' 'dissatisfied,' 'neutral,' 'satisfied,' and 'very satisfied.' Which type of variable is being used?

<p>Ordinal. (A)</p> Signup and view all the answers

What differentiates discrete variables from continuous variables?

<p>Discrete variables can't take any value in an interval. (B)</p> Signup and view all the answers

A researcher is measuring the height of students in a class. What type of variable is height in this scenario?

<p>Continuous. (B)</p> Signup and view all the answers

What does defining variables ensure for a research study?

<p>Provides a basis for the study design. (C)</p> Signup and view all the answers

Which of the following describes the role of variables in data collection?

<p>Variables influence the methods used for data collection. (B)</p> Signup and view all the answers

Why is understanding the different types of variables important in research?

<p>It guides the selection of appropriate statistical tests. (D)</p> Signup and view all the answers

A study aims to determine if there is a relationship between hours of sleep and exam scores. What are the independent and dependent variables?

<p>Independent: hours of sleep, Dependent: exam scores. (C)</p> Signup and view all the answers

If a researcher measures job satisfaction on a scale of 1 to 5, where 1 is 'very dissatisfied' and 5 is 'very satisfied', this is an example of what type of variable?

<p>Ordinal. (A)</p> Signup and view all the answers

Body temperature measured in Celsius is an example of what kind of variable?

<p>Continuous. (D)</p> Signup and view all the answers

What is the primary reason for explicitly defining variables in a research study?

<p>To ensure the research can be consistently interpreted and replicated. (C)</p> Signup and view all the answers

What implication do variables have on the analysis of research results?

<p>Variables dictate the statistical tests that can be applied. (A)</p> Signup and view all the answers

Consider a study examining the relationship between income level and access to healthcare. If the study doesn't account for geographic location, which also affects access, what is the geographic location?

<p>Is a cofounding variable. (B)</p> Signup and view all the answers

A researcher records the eye color of each participant in a study. What type of variable applies here?

<p>Nominal. (D)</p> Signup and view all the answers

A clinical trial measures the time it takes for a drug to reduce a patient's pain level as recorded on a visual scale. What kind of measurement applies here?

<p>Continuous measurements (B)</p> Signup and view all the answers

How does the definition of a variable primarily influence a research study?

<p>It guides data collection methods and statistical analyses. (C)</p> Signup and view all the answers

In experimental design, what is the key distinction between the independent and dependent variables?

<p>The independent variable is manipulated, while the dependent variable is measured for change. (B)</p> Signup and view all the answers

How do confounding variables primarily affect research results?

<p>They can lead to incorrect conclusions by affecting both independent and dependent variables. (A)</p> Signup and view all the answers

What characteristic differentiates quantitative variables from qualitative variables?

<p>Quantitative variables can be measured numerically; qualitative variables describe qualities or characteristics. (B)</p> Signup and view all the answers

When researchers categorize data, like blood types (A, B, AB, O), which type of variable are they using?

<p>Nominal Variable (B)</p> Signup and view all the answers

In which scenario would a researcher most likely use inferential statistics?

<p>To determine if the results from a sample can be generalized to a larger population. (D)</p> Signup and view all the answers

What issue arises if a critical confounding variable is not controlled?

<p>It may lead to inaccurate conclusions about the relationship between the independent and dependent variables. (C)</p> Signup and view all the answers

Consider a study evaluating the impact of a new teaching method on student test scores. What would be the independent variable?

<p>The new teaching method. (D)</p> Signup and view all the answers

A researcher is studying the severity of pain experienced by patients, categorized as 'mild,' 'moderate,' or 'severe.' What kind of variable is being used?

<p>Ordinal (D)</p> Signup and view all the answers

Which of the following best illustrates a continuous variable?

<p>Height measured in centimeters (B)</p> Signup and view all the answers

Flashcards

What is a variable?

A characteristic, property, or attribute that varies and can be measured or evaluated.

Defining variables in research

Essential for defining the focus of a study and basis for the study design.

What depends on variables?

The way data is collected, the methodological process, analysis of results, and statistical tests depend on these.

Variables by function

Variables categorized by their role: dependent, independent, and confounding.

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Dependent variable

The variable affected by another variable (response-effect).

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Independent variable

The variable that influences another variable and doesn't depend on other variable.

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Types of variables by nature

Variables categorized by their nature: quantitative and qualitative.

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Nominal variable

Categorical variable with non-numerical modalities and no inherent order.

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Qualitative: ordinal

Has several categories, presents non-numerical modalities and the categories have a kerargic order (from smallest to largest).

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Quantitative Variable

Expressed by a number and arithmetic operations can be performed with them.

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Discrete variables

Cannot take any value between two consecutive values.

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Continuous variables

Can take any value within an interval.

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Confounding variable

Any external factor that can affect both independent and dependent variables, potentially leading to incorrect study conclusions if not controlled during the experiment.

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Ordinal Variables

Variables with categories that have a specific order or rank.

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Study Notes

  • Variables are being discussed
  • Slides created by Ruben, edited by Carisa O. Jiménez Chaparro

Defining Variables

  • A variable is a measurable characteristic, fact, or phenomenon.
  • Variables can change over time or across different conditions.
  • Variables can be measured or evaluated.
  • The way a variable is defined guides data collection.
  • Variable definitions determine the types of analyses possible, including descriptive and inferential statistics.

Types of Variables

  • Variables can be classified according to their function, nature, or scale of measurement
  • According to their function, variables can be dependent, independent, or confounding.
  • According to their nature, variables can be quantitative or qualitative.
  • According to scale of measurement, qualitative variables are ordinal and nominal, while quantitative variables are continuous and discrete.

Variable Functions

  • Dependent variables represent the outcome or response being measured or tested in an experiment.
  • Dependent variables depend on the independent variable.
  • Dependent variables are also called response-effect and are represented by the Y axis on a graph.
  • In a clinical trial for a new drug, the change in blood pressure after taking the drug is the dependent variable.
  • Independent variables are the factor that is manipulated or controlled in an experiment to determine its effect on the dependent variable.
  • Independent variables do not depend on other variables.
  • Independent variables are represented by the X axis on a graph.
  • In the same drug trial, the dosage of the drug given to participants would be the independent variable.
  • Confounding variables are external factors that can affect both the independent and dependent variables, leading to potentially erroneous conclusions if not controlled.
  • In a study on exercise and weight loss, diet could be a confounding variable that affects the results.

Variable Nature

  • Quantitative variables can be measured and expressed numerically.
  • Quantitative variables can be continuous.
  • Continuous variables can take any value within a range (e.g., height, weight, age).
  • Quantitative variables can be discrete.
  • Discrete variables can only take specific values (e.g., number of hospital visits, number of children).
  • Qualitative variables can be described as categorical variables.
  • Qualitative variables describe qualities or characteristics and can be classified into categories.
  • Qualitative variables can be nominal.
  • Nominal variables are categories without a specific order (e.g., blood type, gender).
  • Qualitative variables can be ordinal.
  • Ordinal variables are categories with a specific order (e.g., severity of disease: mild, moderate, severe).

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