UVA Psych 2005 Research Methods and Data Analysis I

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Last updated 2:43 PM on 5/18/26
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186 Terms

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Statistics

branch of mathematics that focuses on the organization, analysis, and interpretation of a group of numbers

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Descriptive Statistics

procedures for summarizing a group of scores or otherwise making them more understandable

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Inferential Statistics

procedures for drawing conclusions based on the scores collected in a research study but going beyond them

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Variable

characteristic that can have different values

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Values

possible number or category that a score can have

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Score

particular person's value on a variable

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Numeric variable

variable whose values are numbers

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Equal-interval variable

variable in which the numbers stand for approximately equal amounts of what is being measured

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Ratio Scale

an equal-interval variable is measured on a ratio scale if it has an absolute zero point, meaning that the value of zero on the variable indicates a complete absence of the variable (distance, time, weight)

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Rank-Order Variable

numeric variable in which the values are ranks, such as class standing or place finished in a race

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Nominal Variable

variable with values that are categories (names rather than #s)

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Levels of Measurement

types of underlying numerical information provided by a measure, such as equal-interval, rank-order, and nominal

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Discrete Variable

variable that has specific values and that cannot have values between these specific values (# of times you went to the dentist)

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Continuous Variable

variable for which, in theory, there are an infinite number of values between any two values (age, height, weight, time)

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Frequency table

ordered listing of number of individuals having each of the different values for a particular variable

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Interval

range of values in a grouped frequency table that are grouped together

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Grouped Frequency Table

frequency table in which the number of individuals (frequency) is given for each interval of values

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Histogram

barlike graph of a frequency distribution in which the values are plotted along the horizontal axis and the height of each bar is the frequency of that value; the bars are usually placed next to each other without spaces, giving the appearance of a city skyline

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Frequency Distribution

pattern of frequencies over the various values; what a frequency table, histogram, or frequency polygon describes

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Unimodal Distribution

frequency distribution with one value clearly having a larger frequency than any other

<p>frequency distribution with one value clearly having a larger frequency than any other</p>
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Bimodal Distribution

frequency distribution with two approximately equal frequencies, each clearly larger than any of the others

<p>frequency distribution with two approximately equal frequencies, each clearly larger than any of the others</p>
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Multimodal Distribution

frequency distribution with two or more high frequencies separated by a lower frequency; a bimodal distribution is the special case of two high frequencies

<p>frequency distribution with two or more high frequencies separated by a lower frequency; a bimodal distribution is the special case of two high frequencies</p>
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Rectangular Distribution

frequency distribution in which all values have approximately the same frequency

<p>frequency distribution in which all values have approximately the same frequency</p>
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Symmetrical Distribution

distribution in which the pattern of frequencies on the left and right side are mirror images of each other

<p>distribution in which the pattern of frequencies on the left and right side are mirror images of each other</p>
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Skewed Distribution

distribution in which the scores pile up on one side of the middle and are spread out on the other side; distribution that is not symmetrical

<p>distribution in which the scores pile up on one side of the middle and are spread out on the other side; distribution that is not symmetrical</p>
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Floor Effect

situation in which many scores pile up at the low end of a distribution (creating skewness to the right) because it is not possible to have any lower score

<p>situation in which many scores pile up at the low end of a distribution (creating skewness to the right) because it is not possible to have any lower score</p>
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Ceiling Effect

situation in which many scores pile up at the high end of a distribution (creating skewness to the left) because it is not possible to have a higher score

<p>situation in which many scores pile up at the high end of a distribution (creating skewness to the left) because it is not possible to have a higher score</p>
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Normal Curve

bell-shaped frequency distribution that is symmetrical and unimodal; distributions in nature and in research commonly approximate it

<p>bell-shaped frequency distribution that is symmetrical and unimodal; distributions in nature and in research commonly approximate it</p>
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Kurtosis

extent to which a frequency distribution deviates from a normal curve in terms of whether its curve in the middle is more peaked or flat than the normal curve

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Assumptions

ideas that are tentatively accepted as being true without further examination

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Data

information gathered during research

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Facts

empirically observed events

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Behaviors

any observable act from an organism

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Observation

collecting data about a phenomenon

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Inference

any conclusion drawn on the basis of empirical data and/or theories

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Inductive Reasoning

reasoning from the particular to the general; used to generate theories based on observations

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Deductive reasoning

reasoning from the general to the particular, such as when one makes specific predictions about future events based on theories

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Theory

collection of ideas about how and why variables are related

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Parsimonious Theory

suggests that a simple theory is preferred over a more complex theory is both theories explain the data equally well

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Validity

refers to the methodological and/or conceptual soundness of research

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Inductive Theory

built on a strong empirical base and strays little from that base

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Intervening variables

Inferred factors hypothesized to operate between observed variables such as a stimulus and response, helping to explain their relationship

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Deductive Theory

A theory that emphasizes constructs and the relationship between constructs and seeks to make predictions from the theory that can be tested with empirical research

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Functional Theories

emphasize both inductive and deductive elements

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Model

a simplified representation of the complex reality of the real world

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Phases of Research

the stages of a research project

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Idea-Generating Phase

First step in any research project during which the researcher selects a topic to study

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Problem-Defining Phase

Research phase in which research ideas are converted into precise questions to be studied, uses deductive reasoning

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Procedure-Design Phase

Research phase in which the specific procedures to be used in the gathering and analyzing of data are developed

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Observation Phase

research phase in which the data are gathered

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Data Analysis Phase

researcher processes the data using statistical procedures

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Interpretation Phase

Research phase in which the results are interpreted in light of (1) the adequacy of control procedures, (2) previous research, and (3) existing theories

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Communication Phase

research phase in which the rationale, hypotheses, methods, results, and interpretations of the study are presented

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Replication

to repeat a study with no changes in the procedure

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Levels of constraint

degree of systematic control applied in research

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Naturalistic Observation

observing the natural flow of behavior in natural settings

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Naturalistic Level of Constraint

research carried out in natural settings, in which the researcher doesn't manipulate the environment

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Case Study Research

extensive observations of individuals or small groups, using minimal constraints on behavior

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Correlational Research

research that seeks to measure the relationship between variables

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Correlational Level of Constraint

Research designed to quantify the relationship between 2 or more variables

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Differential Research

Research that involves comparing two or more existing groups

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Differential Level of Constraint

Research in which 2 or more groups, defined on the basis of a preexisting variable, are compared on a dependent measure

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Preexisting Variable

any characteristic of the individual that existed prior to the research study

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Experimental Research

research in which participants are randomly assigned to groups and are compared on at least one dependent measure

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Precision-Versus-Relevance Problem

The concern that higher-constraint laboratory research may be less relevant than lower-constraint naturalistic research and, conversely, that lower-constraint research may be unacceptably imprecise.

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Central Tendency

typical or most representative value of a group of scores

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Mean

arithmetic average of a group of scores

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Mode

Value with the greatest frequency in a distribution

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Median

Middle score when all the scores in a distribution are arranged from lowest to highest

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Outlier

score with an extreme value (very high or very low) in relation to the other scores in the distribution

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Variance

measure of how spread out a set of scores are; average of the squared deviations from the mean

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Deviation Score

Score minus the mean

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Squared Deviation Score

square of the difference between a score and the mean

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Sum of Squared Deviations

total of each score's squared difference from the mean

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Standard Deviation

square root of the average of the squared deviations from the mean

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Computational Formula

equation mathematically equivalent to the definitional formula. Easier to use for figuring by hand, it does not directly show the meaning of the procedure

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Definitional Formula

Equation for a statistical procedure directly showing the meaning of the procedure

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Independent Variable

Variable that defines groups of participants on the basis of either (1) a preexisting characteristic (non manipulated IV) or (2) random assignment (manipulated IV)

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Dependent Variable

variable hypothesized to have a relationship with the IV

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Manipulated Independent Variable

Type of IV in which participants are randomly assigned to conditions

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Nonmanipulated Independent Variable

the preexisting variable that determines group membership in a differential research study

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Causal Relationship

a relationship between variables in which one variable causes a predictable change in the other variable

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Extraneous Variables

Any variable, other than the IV, that might affect the dependent measure and thus confound results

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Constant

variable that is prevented from varying

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Controls

any procedure that reduces confounding

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Belmont Report

outlined the basic ethical principles for human research that has been adopted by virtually all research agencies

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Deception

procedures used in research to hide the true nature of the study

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Concealment

Deliberately misleading participants by withholding some information about the research

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Debriefing

disclosing to participants after the study the full nature of a study that used deception

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Invasions of privacy

failure of researchers to protect the confidentiality of records

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Confidentiality

ethical requirement to protect a participant's sensitive information

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Informed Consent

principle that participants have the right to know exactly what they are getting into before they agree to participate in a research study

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Institutional Review Board (IRB)

formal body that reviews research proposals to determine if they meet ethical guidelines

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Risk/Benefit Analysis

assessing research in terms of the risks it poses to participants, its value to science and society, and whether potential benefits outweigh those risks

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Ethical Checks

a series of questions about the research procedures designed to identify and correct potential ethical problems

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Diversity

how well various ethnic, cultural, age, and gender groups are represented in a research sample

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Laboratory Animal Care Committee

Committee that reviews the ethics of research proposals involving animals

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Z Score

number of standard deviations that a score is above (or below, if it is negative) the mean of its distribution; it is thus an ordinary score transformed so that it better describes the score's location in a distribution

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Raw Score

ordinary score (or any number in a distribution before it has been made into a Z score or otherwise transformed)

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Normal Distribution

frequency distribution that follows a normal curve