Key Concepts in Correlational Research and Design

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/57

flashcard set

Earn XP

Description and Tags

These flashcards cover key terms and definitions related to bivariate correlation, research design, and validity in psychological research.

Last updated 3:28 PM on 4/27/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No analytics yet

Send a link to your students to track their progress

58 Terms

1
New cards

Bivariate correlation

An association that involves exactly two measured variables.

2
New cards

Moderate effect size for $r$ according to Cohen's guidelines

An $r$ value of approximately $.30$ (or $-.30$).

3
New cards

Visual representation for two quantitative variables

A scatterplot.

4
New cards

Tight cluster of dots in a scatterplot

Indicates a strong association.

5
New cards

Graph typically used to show means when one variable is categorical

A bar graph.

6
New cards

Statistical test for significant differences between two groups

A $t$ test.

7
New cards

Validity interrogated by measurement quality in associations

Construct validity.

8
New cards

The strength of an association or relationship between variables

Effect size.

9
New cards

Effect of sample size on 95% Confidence Interval (CI)

A larger sample size leads to a narrower, more precise CI.

10
New cards

Meaning of statistically significant association based on CI

The Confidence Interval does not include zero.

11
New cards

Likelihood of observed result under null hypothesis

$p$-value.

12
New cards

Definition of an outlier in research

An extreme score that stands out from the rest of the sample.

13
New cards

Impact of restriction of range on correlation coefficient

It makes the correlation appear smaller than it actually is.

14
New cards

Cause of Pearson $r$ showing near-zero correlation in curvilinear relationships

The positive and negative parts of the curve cancel each other out in linear calculation.

15
New cards

Three criteria for establishing causal inference

Covariance, temporal precedence, and internal validity.

16
New cards

Directional problem in causality

Temporal precedence.

17
New cards

Validity type threatened by third-variable problem

Internal validity.

18
New cards

Variable that changes the strength or direction of a relationship

A moderator.

19
New cards

Definition of multivariate design

A research study that involves more than two measured variables.

20
New cards

Cross-sectional correlation in longitudinal design

The correlation between two different variables measured at the same point in time.

21
New cards

Longitudinal correlation that measures stability over time

Autocorrelation.

22
New cards

Cross-lag correlation

The correlation between an earlier measure of one variable and a later measure of another variable.

23
New cards

Usefulness of cross-lag correlations in longitudinal research

They help address the directionality problem and establish temporal precedence.

24
New cards

Variable predicted in multiple regression

Criterion variable.

25
New cards

Meaning of standardized coefficient (beta or $eta$) in regression

The strength and direction of a relationship while controlling for other predictor variables.

26
New cards

Controlling for a variable in regression analysis

To account for its effects to isolate the unique impact of the main variable of interest.

27
New cards

Conclusion when relationship disappears after controlling for a third variable

The third variable explains the original relationship.

28
New cards

Definition of parsimony in research

The degree to which a theory provides the simplest explanation for a phenomenon.

29
New cards

Difference between a mediator and a third variable

A mediator is internal to the causal pathway, whereas a third variable is an external nuisance.

30
New cards

Definition of a quasi-experiment

A study where researchers select an IV and DV but cannot use random assignment.

31
New cards

Description of a nonequivalent control group posttest-only design

Outcomes are compared between a treatment and non-random control group only after the intervention.

32
New cards

Characterization of an interrupted time-series design

A single group is measured repeatedly before, during, and after an event or 'interruption'.

33
New cards

Strongest quasi-experimental design for ruling out alternatives

Nonequivalent control group interrupted time-series design.

34
New cards

Internal validity threat caused by participant dropout

Attrition threat.

35
New cards

Selection effect in quasi-experimental research

When the participants at one level of the IV are systematically different from those at another level.

36
New cards

Threat involving external event affecting everyone at the same time as treatment

History threat.

37
New cards

Definition of regression to the mean

When extreme outcomes become less extreme over time due to the exhaustion of random factors.

38
New cards

Difference in data representation between small-$N$ and large-$N$ designs

Small-$N$ designs present data for each individual separately rather than as group averages.

39
New cards

Timing of treatment in stable-baseline design

Only after a stable pattern of behavior has been established through repeated measurements.

40
New cards

Definition of a multiple-baseline design

A study where the introduction of an intervention is staggered across different subjects, behaviors, or settings.

41
New cards

Effect during reversal period of a reversal design (ABAB)

The treatment is taken away to see if the problem behavior returns to baseline levels.

42
New cards

Major disadvantage of small-$N$ studies regarding external validity

The few participants used may not represent the general population well.

43
New cards

Definition of replicable research

Testing the same hypothesis as an original study but using different operational procedures.

44
New cards

Definition of conceptual replication

Replication study that confirms original findings while adding new variables to test additional questions.

45
New cards

What is $p$-hacking?

Analyzing data in various ways until a $p$-value of just under $.05$ is found.

46
New cards

Meaning of HARKing

Hypothesizing After the Results are Known.

47
New cards

Definition of preregistration

The practice of sharing hypotheses and study designs publicly before data collection.

48
New cards

Definition of a meta-analysis

A quantitative technique that mathematically averages effect sizes from multiple studies on a topic.

49
New cards

File Drawer Problem in meta-analysis

Studies with null or opposite results are rarely published, potentially overestimating effect sizes.

50
New cards

Definition of ecological validity

The extent to which a laboratory study's findings generalize to real-world settings.

51
New cards

Type of validity prioritized in theory-testing mode

Internal validity.

52
New cards

Research mode focusing on generalizability of findings

Generalization mode.

53
New cards

WEIRD in research context

Western, Educated, Industrialized, Rich, and Democratic populations.

54
New cards

Problem with WEIRD participants in psychology research

They are not representative of the whole world's population, limiting generalizability.

55
New cards

Definition of experimental realism

The extent to which a laboratory study feels real to participants, causing them to behave naturally.

56
New cards

Historical bias in participant inclusion in psychology

White samples were often treated as the 'default' or universal standard.

57
New cards

Impact of hair texture on Black participants in EEG research

Participants are often preemptively excluded because equipment is not designed for diverse hair types.

58
New cards

Way to address underrepresentation in psychological research

Diversifying the researchers and engaging communities directly.