PSYB70H3 Midterm 2

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Empiricism

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143 Terms

1

Empiricism

Systematic observation and data recording method.

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2

External Validity

Generalizability of study results to broader populations.

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3

Basic Research

Theory-driven research to enhance general knowledge.

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4

Applied Research

Practice-driven research for practical solutions.

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5

Translational Research

Integrates basic and applied research for applications.

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6

Frequency Claims

Describes quantity using averages or percentages.

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7

Association Claims

Examines covariance between two or more variables.

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8

Causality Claims

Investigates cause-effect relationships between variables.

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9

Statistical Validity

Honest presentation of research results.

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10

Intuition

Knowledge based on emotions, not rational thought.

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11

Rationalism

Knowledge gained through logical reasoning.

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12

Scientific Method

Systematic evidence collection to answer questions.

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13

Pseudoscience

Claims lacking empirical support or falsifiability.

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14

The Belmont Report

Ethical principles for human research: respect, beneficence, justice.

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15

Informed Consent

Participants understand study benefits and risks.

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16

Research Ethics Boards (REBs)

Review human research for risks and safeguards.

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17

Deception in Research

Allowed if methodologically necessary and debriefing occurs.

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18

3Rs in Animal Research

Replacement, Refinement, Reduction for ethical animal use.

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19

Research Misconduct

Includes data fabrication, falsification, and plagiarism.

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20

Peer Review Process

Validates high standards in published research.

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21

Common Sense Limitations

Intuitive beliefs often lead to inaccuracies.

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22

Skepticism

Evaluates evidence, considers alternative explanations.

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23

Tolerance for Uncertainty

Accepts unknowns as opportunities for discovery.

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24

Privacy Protection

Ensures confidentiality of participant data.

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25

Equitable Treatment

Fair recruitment practices to avoid discrimination.

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26

Research Integrity

Strive for accuracy and honesty in research.

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27

Nuremberg Code

Ethical standards established post-Nazi medical experiments.

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28

Tuskegee Syphilis Study

Unethical study observing untreated syphilis cases.

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29

HeLa Cells

Cells taken without consent from Henrietta Lacks.

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30

John/Joan Case

Gender reassignment study exploring gender identity.

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31

MMR Vaccine Study

1998 study with conflict of interest issues.

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32

Diederik Stapel

Researcher who fabricated data in 2011.

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33

Michael LaCour

Fabricated results without ethical approval in 2015.

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34

APA Ethics Code

Guidelines ensuring integrity and participant welfare.

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35

TCPS2

Canadian guidelines emphasizing respect and justice.

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36

Transparency

Disclosure of conflicts and funding sources.

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37

Methodological Rigor

Collecting accurate and unbiased data.

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38

Participant Welfare

Prioritizing well-being and avoiding risks.

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39

Data Integrity

Honest and transparent data reporting.

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40

Research Question

Initial inquiry guiding the research process.

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41

Empirical Study

Systematic observation or experimentation for data.

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42

Analyze Data

Using statistics to interpret collected data.

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43

Publish Findings

Sharing results with the scientific community.

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44

Theory

Broad explanation of phenomena in psychology.

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45

Hypothesis

Specific prediction derived from a theory.

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46

Hypothetico-Deductive Method

Cycle of theory, hypothesis, and empirical testing.

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47

Variables

Quantitative and categorical distinctions in research.

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48

Population vs. Sample

Sample represents a larger population in research.

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49

Experimental Research

Manipulates variables to establish cause-and-effect.

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50

Non-Experimental Research

Observational studies without implying causation.

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51

Internal Validity

Clarity of causal relationships within a study.

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52

Construct Validity

Accurate measurement of variables in research.

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53

Causal Claims

Statements suggesting cause-and-effect relationships.

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54

Margin of Error

Estimated error around a population parameter.

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55

Confidence Interval

Range of values for true population parameter.

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56

Statistical Significance

Effect detectable despite margin of error.

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57

Effect Size

Magnitude of effect measured in research.

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58

Statistical Power

Probability of detecting an effect if it exists.

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59

Type I Error

Rejecting null hypothesis when it is true.

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60

Type II Error

Retaining null hypothesis when it is false.

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61

Direct Replication

Repeating a study with independent samples.

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62

Descriptive Statistics

Summarizes and organizes sample data.

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63

Inferential Statistics

Makes inferences about the population from samples.

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64

Null Hypothesis (H0)

No relationship exists; results are due to chance.

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65

Alternative Hypothesis (H1)

A relationship exists in the population.

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66

p-value

Probability of observing results if H0 is true.

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67

Operational Definition

Specifies how a variable is measured.

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68

Qualitative Research

Analyzes behaviors for detailed descriptions.

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69

Quantitative Research

Measures variables numerically to test theories.

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70

Self-Report

Participants' own thoughts and feelings.

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71

Behavioral Observation

Recording participants' behaviors in natural settings.

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72

Physiological Measures

Monitoring bodily processes like heart rate.

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73

Reliability

Consistency of measurements across time or items.

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74

Validity

Accuracy of measurements in representing constructs.

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75

Nominal Scale

Categorical data without order.

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76

Ordinal Scale

Rank-ordered data without equal intervals.

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77

Interval Scale

Ordered data with equal intervals, no true zero.

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78

Ratio Scale

Ordered data with equal intervals and a true zero.

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79

Interrater Reliability

Consistency across different observers.

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80

Test-Retest Reliability

Consistency of results over time.

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81

Internal Reliability

Consistency across items within a test.

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82

Validation Study

Empirical study assessing measurement tool reliability.

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83

Independent Variable (IV)

Variable manipulated by researchers in experiments.

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84

Dependent Variable (DV)

Outcome variable that is measured.

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85

Extraneous Variables

Variables other than IV and DV affecting results.

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86

Confounding Variables

Systematically vary with IV, complicating results.

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87

Treatment

Interventions aimed at changing behavior (e.g., therapy).

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88

Control Condition

Participants do not receive the treatment, providing a baseline for comparison.

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89

Placebo Effects

Non-active treatments that can still lead to perceived improvements based on expectations.

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90

Between-Subjects Experiments

Each participant experiences only one condition.

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91

Within-Subjects Experiments

Each participant experiences all conditions.

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92

Random Assignment

A method to assign participants to conditions randomly, ensuring each participant has an equal chance of being in any condition.

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93

Carryover Effects

When previous conditions affect participants' behavior in later conditions.

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94

Practice Effect

Improved performance due to practice.

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95

Fatigue Effect

Decreased performance due to tiredness.

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96

Context Effect

Changes in perception based on prior conditions.

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97

Counterbalancing

A technique used to control for order effects by varying the order of conditions across participants.

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98

Complete Counterbalancing

Every possible order is tested.

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99

Latin Square Design

Ensures each condition appears in every position and precedes and follows every other condition once.

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100

Random Counterbalancing

Randomly assigns order of conditions for each participant.

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