Podcast
Questions and Answers
Match the types of validity with their descriptions:
Match the types of validity with their descriptions:
Internal Validity = Determines if the study accurately measures the causal relationship External Validity = Ability to generalize findings to other settings or populations Construct Validity = How well a test or tool measures the concept it's intended to measure Statistical Validity = The extent to which statistical conclusions are accurate
Match the threats to internal validity with their descriptions:
Match the threats to internal validity with their descriptions:
Selection Threat = Different groups start with unequal characteristics Maturation Threat = Natural changes in participants over time Attrition Threat = Dropout rates skewing the study results Instrumentation Threat = Changes in measurement methods affecting outcomes
Match the example to its corresponding threat:
Match the example to its corresponding threat:
More experienced group affects results = Selection Threat Participants improve due to familiarity = Testing Threat Complex language used later in the study = Instrumentation Threat Participants quit due to difficulty = Attrition Threat
Match the type of validity with its significance:
Match the type of validity with its significance:
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Match the threat descriptions with their corresponding type:
Match the threat descriptions with their corresponding type:
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Match the components of a research method paper with their descriptions:
Match the components of a research method paper with their descriptions:
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Match the concepts of P-Value with their significance:
Match the concepts of P-Value with their significance:
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Match the aspects affecting reliability with their definitions:
Match the aspects affecting reliability with their definitions:
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Match the types of reliability with their examples:
Match the types of reliability with their examples:
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Match the types of validity with their characteristics:
Match the types of validity with their characteristics:
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Match the ways to increase validity with their descriptions:
Match the ways to increase validity with their descriptions:
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Match the validity terms with their definitions:
Match the validity terms with their definitions:
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Match the examples of validity types with their descriptions:
Match the examples of validity types with their descriptions:
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Match the following studies with their characteristics:
Match the following studies with their characteristics:
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Match the terms with their definitions:
Match the terms with their definitions:
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Match the research designs with their descriptions:
Match the research designs with their descriptions:
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Match the ethical considerations with their explanations:
Match the ethical considerations with their explanations:
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Match the statistical methods with their corresponding symbols:
Match the statistical methods with their corresponding symbols:
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Match the types of correlations with their descriptions:
Match the types of correlations with their descriptions:
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Match the components of a research study with their examples:
Match the components of a research study with their examples:
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Match the following statements with the correct research terms:
Match the following statements with the correct research terms:
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Study Notes
Research Method Study Notes
- Introduction (Research Paper): Includes background, research purpose, and hypotheses.
P-Value
- P-value of 0.05 or less is statistically significant.
- P-value of 0.05 or more is not statistically significant.
Reliability
- Definition: Replication and consistency.
- Higher reliability: Lower error, better measure.
- Lower reliability: Higher error, poor measure.
Affecting Reliability
- Confounding Variables: Factors that influence results.
- Operational Definitions: Clear definitions of variables.
- Physical Setting: Environment where study takes place.
- Question wording: How questions are phrased.
- Respondent mood: Emotional state of participants.
Types of Reliability
- Test-Retest: Consistency of scores over time.
- Example: Similar scores on a math test taken twice.
-
Split-Half: Consistency of results with different sections of a test.
- Example: Similar scores on each part of a split test.
-
Inter-rater (Inter-observer): Consistency of scores from multiple judges.
- Example: Two teachers assign similar scores on student essays.
Validity
- Definition: Measuring what it's supposed to measure.
Types of Validity
-
Construct Validity: Correct concept or idea.
- Example: Measuring happiness by including joy questions.
-
Face Validity: Appears reasonable.
- Example: A spelling test using words for spelling.
-
Criterion-related Validity: Real-world outcomes.
- Example: Driving test takers being good drivers.
Increasing Validity
- Using repeated measures: Measurements are taken multiple times.
- Same number of participants: Consistent sample size for analysis.
- Within-Subjects: Same participants take measures repeatedly.
- Example: Participants taking a memory test multiple times.
Internal Validity (Cause and Effect)
- Independent variable: Variable manipulated.
- Dependent variable: Variable being measured.
- High internal validity: Independent variable influenced dependent variable (no other factors).
- Example: Diet and activity levels kept constant. Sleep deprivation showed different memory results.
- Low internal validity: Other factors influenced results, not the independent variable.
- Example: Caffeine use also impacting memory results, besides sleep deprivation.
External Validity
- Generalizability: Results apply to other situations, populations, or times.
- Example: Covid-19 studies from Israel are generalized to other populations.
Threats to Internal Validity
- Selection Threat: Groups differ at the study start.
- Maturation Threat: Natural changes in participants.
- Attrition Threat: Participants drop out.
- Instrumentation Threat: Changes to measuring tools or methods over time.
- Testing Threat: Pretest affects posttest results.
- Statistical Regression Threat: Selecting based on significant errors.
Tuskegee Syphilis Study
- Participants denied treatment for syphilis.
- Participants weren't fully informed about the study.
Milgram Study
- Authority obedience to administer electric shocks.
- Participants were deceived about the study's purpose.
Deception
- Intentionally misleading participants.
Debriefing
- Telling participants true purpose and benefits after the study.
Independent Variable
- What the researcher manipulates.
Dependent Variable
- What the researcher measures.
Confounding Variables
- Variables controlling results.
- Stress, study time, etc.
Correlation
- Relationship between two variables (positive, negative, or zero).
Statistical Tests
- T-test: comparing two means.
- ANOVA: comparing multiple means.
Research Designs
- Observational Design: Observing in a natural setting, no interference.
- Example: Observing children on a playground.
-
Correlational Design: Investigating relationships between two or more variables.
- Pearson's Correlation: Measures the strength and direction of the relationship.
- Example: Hours studied vs. test scores
-
Experimental Design: Manipulating one or more variables.
- Example: Investigating effect of new teaching method on student performance.
- Quasi-experimental Design: pre-existing groups, no random assignment.
- Longitudinal Design: Studying same group over a long period of time.
- Archival Data: Using pre-existing data.
- Case Study: Detailed examination of a single case or individual.
Qualitative versus Quantitative Data
- Qualitative Data: Words or statements.
- Examples: Color, Gender, Favorite Food, Mood
- Quantitative Data: Numbers
- Examples: Age, Height, Weight, Temperature.
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Description
This quiz covers essential concepts in research methods, including the significance of p-values, reliability types, and factors that affect reliability in studies. It provides a solid foundation for understanding how research is conducted and evaluated.