Three Claims, Four Validities: Interrogation Tools for Consumers of Research (Video Notes)

0.0(0)
studied byStudied by 0 people
full-widthCall with Kai
GameKnowt Play
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/24

flashcard set

Earn XP

Description and Tags

Vocabulary flashcards covering key terms from the notes on variables, claims, and validity in research.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

25 Terms

1
New cards

Measured variable

A variable that is observed and recorded in a study rather than controlled by the researcher.

2
New cards

Manipulated variable

A variable the researcher actively changes or assigns to create an experimental condition.

3
New cards

Conceptual variable

An abstract, theoretical idea defined at a high level (construct).

4
New cards

Operational definition (operationalization)

A concrete procedure used to measure or manipulate a conceptual variable in a study.

5
New cards

Construct validity

The extent to which a study's variables are measured or manipulated as intended; how well operational variables represent conceptual variables.

6
New cards

External validity

The extent to which study results generalize to other people, settings, times, or situations.

7
New cards

Internal validity

The extent to which observed effects are due to the manipulation of the independent variable rather than confounds.

8
New cards

Statistical validity

How well the study's statistics support the claim, including effect size, precision (confidence intervals), and replication.

9
New cards

Independent variable (IV)

The variable deliberately manipulated by the researcher in an experiment.

10
New cards

Dependent variable (DV)

The variable measured to assess the effect of the IV.

11
New cards

Experiment

A study with a manipulated IV, measured DV, and typically random assignment to conditions.

12
New cards

Random assignment

Allocating participants to groups by chance to control for pre-existing differences.

13
New cards

Covariance

The statistical relationship in which changes in one variable co-occur with changes in another (needed for causal claims).

14
New cards

Temporal precedence

The cause must precede the effect in time.

15
New cards

Causal claim

A statement that one variable causes changes in another, typically supported by experiments.

16
New cards

Association claim

A statement that two variables are related or correlated, not necessarily causal.

17
New cards

Frequency claim

A statement describing the level or degree of a single variable, often based on a survey or measurement of one variable.

18
New cards

Correlation

A statistical relationship between two variables; correlation alone does not prove causation.

19
New cards

Positive association

As one variable increases, the other tends to increase.

20
New cards

Negative association

As one variable increases, the other tends to decrease.

21
New cards

Zero association

No systematic relationship between two variables.

22
New cards

Semantic interference

Delay or increased errors in encoding when related information interferes with the target information.

23
New cards

Stroop task

A cognitive task that measures semantic interference by naming ink color of color words (e.g., the word RED printed in blue ink).

24
New cards

Operationalizing 'School Achievement'

A conceptual variable that can be measured via multiple operationalizations (e.g., grades, test scores, records, teacher observations).

25
New cards

Four Big Validities

Construct validity, External validity, Internal validity, and Statistical validity—the four criteria for evaluating the credibility of claims.