Research Methods Overview
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Questions and Answers

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:

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:

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:

<p>Internal Validity = Identifies potential biases in experimental conditions External Validity = Facilitates application across different populations</p> Signup and view all the answers

Match the threat descriptions with their corresponding type:

<p>Participants selected based on extreme scores = Statistical Regression Threat Natural development over time affects outcomes = Maturation Threat Participants' dropouts skew final results = Attrition Threat Pretests influencing posttest scores = Testing Threat</p> Signup and view all the answers

Match the components of a research method paper with their descriptions:

<p>Background and research = Context and previous studies related to the topic Purpose of study = The reason behind conducting the research Hypotheses = Testable predictions about the study's outcomes Introduction = Overview of the research paper's relevant points</p> Signup and view all the answers

Match the concepts of P-Value with their significance:

<p>0.05 or less = Statistically significant results 0.05 or more = Not statistically significant results P-value threshold = Standard for determining significance Statistical significance = Indication of reliable results</p> Signup and view all the answers

Match the aspects affecting reliability with their definitions:

<p>Confound Variables = Variables that may impact results unintentionally Operant definitions = Precise definitions of terms used in the study Physical setting = Environment in which the study is conducted Wording of questions = Specific language used in surveys or tests</p> Signup and view all the answers

Match the types of reliability with their examples:

<p>Test-retest = Math test scores are consistent between attempts Split-Half = Scores are similar on two halves of a test Inter-rater = Multiple graders give close scores on essays Internal consistency = Reliability across items within a test</p> Signup and view all the answers

Match the types of validity with their characteristics:

<p>Construct validity = Accurate measurement of intended concepts Face-validity = Subjective judgment of appropriateness Criterion-related validity = Correlation with real-world outcomes Content validity = Extent coverage of a domain in measurement</p> Signup and view all the answers

Match the ways to increase validity with their descriptions:

<p>Repeated measures = Participants are tested multiple times Same number of participants = Ensures balanced sample sizes Within-Subjects design = Same participants in all conditions Consistency in measures = Similar conditions lead to valid outcomes</p> Signup and view all the answers

Match the validity terms with their definitions:

<p>Internal Validity = The degree to which a study establishes a cause-effect relationship Independent Variable = What is manipulated in the study Dependent Variable = What is measured in the study High validity = Indicates strong causal relationships exist</p> Signup and view all the answers

Match the examples of validity types with their descriptions:

<p>High construct validity = Happiness measured includes questions about joy High face-validity = Test items align with their intended purpose High criterion-related validity = Passing driving tests correlates with good driving skills Low concurrent validity = Tests not showing expected correlations with comparable measures</p> Signup and view all the answers

Match the following studies with their characteristics:

<p>Tuskegee Study = Participants were denied effective treatment even when it became available Milgram Study = Participants were deceived about the purpose of the study Observational Design = Researchers observe in their natural environment Quasi-Experimental = Lacks random assignment to groups</p> Signup and view all the answers

Match the terms with their definitions:

<p>Independent Variable = What the research manipulates Dependent Variable = What the researcher measures or observes Confounding Variables = Factors that influence our outcome Debrief = Telling participants about purpose/benefits of the study after the study</p> Signup and view all the answers

Match the research designs with their descriptions:

<p>Experimental = Manipulating one or more independent variables Correlational Design = Looking at two or more variables for relationships Longitudinal Design = Studying the same group over a long time Random Selection = Sample representative of a broader population</p> Signup and view all the answers

Match the ethical considerations with their explanations:

<p>Deception = Intentionally misleading participants about the study's true purpose Informed Consent = Participants are aware of what they are agreeing to Tuskegee Study = Participants were not informed about the true nature of the study Milgram Study = This study tested authority obedience</p> Signup and view all the answers

Match the statistical methods with their corresponding symbols:

<p>Correlation = r T-test = t ANOVA = F Regression = R²</p> Signup and view all the answers

Match the types of correlations with their descriptions:

<p>Positive Correlation = Both variables increase or decrease together Negative Correlation = One variable increases while the other decreases No Correlation = There is no relationship between the variables Perfect Correlation = One variable can predict another with 100% accuracy</p> Signup and view all the answers

Match the components of a research study with their examples:

<p>Independent Variable = Type of music Dependent Variable = Performance Confounding Variable = Stress Longitudinal Design = Studying the long-term effects of smoking</p> Signup and view all the answers

Match the following statements with the correct research terms:

<p>Random Assignment = Different groups to ensure internal validity Experimental Design = Casual relationship through manipulation Correlational Analysis = Examining relationships between variables Observational Research = No manipulation or interference in study</p> Signup and view all the answers

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.

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