Chapter 2_Overview of the Scientific Method Flashcards

1
Q

Research Literature

A

A collection of published scholarly work that provides a comprehensive overview of a particular research area, including theories, findings, and discussions on various topics.

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2
Q

Professional Journals

A

Peer-reviewed publications where researchers publish original research articles, reviews, and theoretical papers relevant to a specific academic field.

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3
Q

Empirical Research Reports

A

Articles that describe original research studies, including details on the research question, methodology, data analysis, and conclusions drawn from the results.

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4
Q

Meta-Analysis

A

A statistical technique that combines the results of multiple studies on the same topic to identify overall trends and determine the strength of the evidence.

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5
Q

Review Articles

A

Papers that summarize the current state of research on a particular topic by synthesizing findings from multiple studies rather than presenting new data.

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6
Q

Double-Blind Peer Review

A

A process in which both the authors and reviewers remain anonymous to each other to reduce biases during the review of scholarly articles submitted for publication.

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7
Q

A Scientific Theory

A

A well-substantiated explanation of some aspect of the natural world that is based on a body of evidence and has withstood rigorous testing.

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8
Q

A Scientific Hypothesis

A

A specific, testable prediction derived from a theory that guides research by suggesting what researchers expect to find in their study.

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9
Q

Zajonc’s Theory of Social Facilitation and Social Inhibition (1965)

A

A theory suggesting that the presence of others enhances performance on simple or well-learned tasks (social facilitation) but impairs performance on complex or new tasks (social inhibition).

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10
Q

Hypothetico-Deductive Method

A

A systematic approach to scientific research where researchers formulate hypotheses, deduce logical consequences, and test these through observation and experimentation.

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11
Q

Falsifiable

A

A property of a scientific hypothesis or theory that means it can be disproven by empirical evidence.

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12
Q

A Variable

A

Any factor, trait, or condition that can vary or be manipulated, controlled, or measured in research.

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13
Q

A Quantitative (Continuous) Variable

A

A variable that can take on an infinite number of values within a given range, such as age, height, or weight.

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14
Q

A Categorical Variable

A

A variable that categorizes or groups data into distinct categories or labels without any natural order, such as gender or type of therapy.

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15
Q

Operational Definition

A

A clear, precise, and measurable definition of a variable used in a study, specifying how it will be observed and measured.

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16
Q

Population

A

The entire group of individuals or instances that researchers are interested in studying.

17
Q

Sample

A

A subset of the population selected to participate in a research study, intended to represent the larger group.

18
Q

Experimental Research

A

A research method that involves manipulating one variable to determine if it causes changes in another variable, establishing cause-and-effect relationships.

19
Q

Independent Variable

A

The variable that is manipulated or changed by the researcher to observe its effect on the dependent variable.

20
Q

Dependent Variable

A

The variable that is measured or observed in a study, which is expected to be influenced by the independent variable.

21
Q

Extraneous Variables

A

Variables other than the independent variable that might affect the dependent variable if not controlled.

22
Q

Confounds

A

Variables that systematically vary with the independent variable, potentially leading to incorrect conclusions about the cause of changes in the dependent variable.

23
Q

Non-Experimental Research

A

Research that examines relationships between variables without manipulating them, often used when experimentation is not feasible.

24
Q

Laboratory Study

A

Research conducted in a controlled, indoor environment where variables can be carefully managed.

25
Q

Field Study

A

Research conducted in a real-world or natural setting where variables are observed rather than controlled.

26
Q

Internal Validity

A

The extent to which a study can establish a cause-and-effect relationship between variables, with minimal influence from confounding factors.

27
Q

External Validity

A

The extent to which research findings can be generalized to other settings, populations, or times beyond the study.

28
Q

Descriptive Statistics

A

Statistical techniques used to summarize and describe the characteristics of a set of data.

29
Q

The Range

A

A measure of variability that represents the difference between the highest and lowest scores in a data set.

30
Q

The Standard Deviation

A

A measure of variability that indicates the average distance of scores from the mean, showing how spread out the data points are.

31
Q

The Variance

A

The average of the squared deviations from the mean, indicating how much scores differ from the average score.

32
Q

The Mode

A

The most frequently occurring score in a data set.

33
Q

The Mean

A

The arithmetic average of a set of scores, calculated by adding all scores and dividing by the number of scores.

34
Q

The Median

A

The middle score in a data set when the scores are arranged in order, representing the 50th percentile.

35
Q

A Correlation Coefficient

A

A numerical measure of the strength and direction of the relationship between two variables, typically ranging from -1 to +1.

36
Q

Inferential Statistics

A

Statistical methods used to draw conclusions about a population based on data from a sample, including hypothesis testing and confidence intervals.

37
Q

A Statistically Significant Effect

A

An observed effect in a study that is unlikely to have occurred by chance alone, typically evaluated using a p-value threshold (e.g., p < .05).

38
Q

Type I Error

A

Incorrectly rejecting a true null hypothesis, concluding that there is an effect when there is none (false positive).

39
Q

Type II Error

A

Failing to reject a false null hypothesis, concluding that there is no effect when there actually is one (false negative).