Lecture Glossary
Special | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | ALL
A |
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Alternative Hypothesis (H₁)A statement proposing that there is a significant relationship or difference between variables, which the research aims to support. | |
C |
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CausalityThe principle that one variable (cause) directly influences another (effect), often tested through hypotheses in experimental designs. | |
D |
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Dependent VariableThe variable in a hypothesis that is affected or influenced by the independent variable; the outcome being measured. | |
Directional HypothesisA hypothesis specifying the expected direction of the relationship or difference between variables (e.g., increase or decrease). | |
H |
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HypothesisA testable, predictive statement about the relationship between variables, used in quantitative research to guide investigation. | |
I |
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Independent VariableThe variable in a hypothesis that influences or causes a change in the dependent variable; the factor manipulated or controlled. | |
N |
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Non-Directional HypothesisA hypothesis stating that a relationship or difference exists between variables without specifying the direction. | |
Null Hypothesis (H₀)A statement proposing no significant relationship or difference between variables, which the research aims to reject. | |
O |
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Operational DefinitionA clear, measurable description of how variables in a hypothesis will be observed or quantified. | |
P |
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P-ValueA statistical measure indicating the probability of obtaining results as extreme as those observed, used to test hypotheses (typically p < 0.05 for significance). | |