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52 Cards in this Set

  • Front
  • Back

Conceptual Variables

Abstract ideas that form the basis of research hypotheses

Construct Validity

The extent to which the measured variables used in the research adequately assess the conceptual variables they were designed to measure

Correlational Research

Research designed to discover relationships among variables and to allow the prediction of future events from present knowledge

Descriptive Research

Research designed to provide a snapshot of the current state of affairs

Experimental Research

Research in which initial equivalence among research participants in more than one group is created, followed by a manipulation of a given experience for these groups and a measurement of the influence of the manipulation

Institutional Review Board (IRB)

A committee of at least five members whose goal is to determine cost-benefit ratio of research conducted within an institution

Multiple Regression

A statistical technique, based on correlation coefficients among variables, that allows predicting a single outcome variable from more than one predictor variable

Pearson Correlation Coefficient

Symbolized by the letter r, a statistic indicating the strength and direction of a linear relationship. The value of the correlation coefficient ranges from r = –1.00 to r = +1.00.

Statistical Significance

The confidence with which we can conclude that data are not due to chance or random error

Applied Research

Research that investigates issues that have implications for everyday life and provides solutions to everyday problems

Arithmetic Mean

Symbolized by the letter M, the most commonly used measure of central tendency

Basic Research

Research that answers fundamental questions about behavior

Case Studies

A descriptive record of one or more individual’s experiences and behavior

Common-Casual Variable

A variable that is not part of the research hypothesis but that causes both the predictor and the outcome variable and thus produces the observed correlation between them

Confounding Variable

A variable other than the independent variable on which the participants in one experimental condition differ systematically from those in other conditions

Debriefing

A procedure designed to fully explain the purposes and procedures of the research and remove any harmful aftereffects of participation

Deception

A situation that occurs whenever research participants are not completely and fully informed about the nature of the research project before participating in it

Dependent Variable

In an experiment, the measured variable that is expected to be influenced by the experimental manipulation

Descriptive Statistics

Numbers that summarize the distribution of scores on a measured variable

Double-Blind Experiment

An experimental design in which both the researcher and the research participants are blind to condition

Empirical

Based on systematic collection and analysis of data

Experimenter Bias

A situation in which the experimenter subtly treats the research participants in the various experimental conditions differently, resulting in an invalid confirmation of the research hypothesis

External Validity

The extent to which the results of a research design can be generalized beyond the specific way the original experiment was conducted

Falsifiable

A characteristic of a theory or research hypothesis in which the variables of interest can be adequately measured and the predicted relationships among the variables can be shown through research to be incorrect

Generalization

The tendency to respond to stimuli that resemble the original conditioned stimulus

Independent Variable

In and experiment, the causing variable that is created (manipulated) by the experimenter

Informed Consent

A procedure, conducted before a participant begins a research session, designed to explain the research procedures and inform the participant of his or her rights during the investigation

Internal Validity

The extent to which we can trust the conclusions that have been drawn about the causal relationship between the independent and dependent variables

Laws

Principles that are so general as to apply to all situations in a given domain of inquiry

Measured Variables

Variables consisting of numbers that represent the conceptual variables

Median

The score in the center of the distribution, meaning that 50% of the scores are greater than the median and 50% of the scores are less than the median

Meta-Analysis

A statistical technique that uses the results of existing studies to integrate and draw conclusions about those studies

Mode

The value or values that occur most frequently in a variable’s distribution

Naturalistic Observation

Research based on the observation of everyday events

Normal Distribution

A data distribution that is shaped like a bell

Objective

Free from the personal bias or emotions of the scientist

Operational Definition

A precise statement of how a conceptual variable is turned into a measured variable

Population

In a descriptive research design, the people that the researcher wishes to know about

Random Assignment To Conditions

A procedure used in experimental research designs in which the condition that each participant is assigned to is determined through a random process

Reliability

The consistency of a measured variable

Replication

The process of repeating previous research

Research Hypothesis

A specific and falsifiable prediction about the relationship between or among two or more variables

Research Design

An approach used to collect, analyze, and interpret data

Sample

The people chosen to participate in a research project

Scatter Plot

A visual image of the relationship between two variables

Scientific Method

The set of assumptions, rules, and procedures scientists use to conduct research

Spurious Relationship

A relationship between two variables in which a common-causal variable produces and “explains away” the relationship

Standard Deviation

Symbolized by the letter s, the most commonly used measure of the dispersion of a variable’s distribution

Statistical Conclusion Validity

The extent to which we can be certain that the researcher has drawn accurate conclusions about the statistical significance of the research

Survey

A measure administered through either interviews or written questionnaires to get a picture of the beliefs or behaviors of a sample of people of interest

Theory

An integrated set of principles that explains and predicts many, but not all, observed relationships within a given domain of inquiry

Variable

Any attribute that can assume different values among different people or across different times or places