Chapter 1- Introduction Flashcards
Define:
Population
The set of all the individuals of interest in a particular study(often quite large)
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Statistics
A set of mathematical procedures for organizing, summarizing, and interpreting information
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Sample
A set of individuals selected from a population to participate in the research study
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Variable
A characteristic or condition that changes or has different values for different individuals
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Data( plural)
Measurements or observations of a variable
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Data Set
A collection of measurements or observations
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Datum(singular)
A single measurement or observation and is commonly called a score or raw score
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Parameter
A value, usually a numerical value, that describes a population
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Statistics
A value, usually a numerical value, that describes a sample
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Descriptive Statistics
Statistical procedures used to summarize, organize, and simplify data
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Inferential Statistics
Techniques that allow us to study samples and then make generalizations about the populations
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Sampling Error
The amount of error that exists between a sample statistic and the corresponding population parameter
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Correlational Method
When two variables are observed to determine whether there is a relationship between them
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Experimental Method
A method where one variable is manipulated, while another variable is observed and measured
What is the goal of experimental research?
To demonstrate cause and effect relationships
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Manipulation
One variable that is changed by the researcher by changing its value from one level to another
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Control
Variables that experience no change by the researcher
What are the “Methods of Control?”
- Random assignment of subjects
- Matching subjects
- Holding level of some potentially influential variables constant
What are the control conditions?
- Individuals do not receive experimental treatment
- They receive a neutral placebo treatment
- They receive no treatment
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Random Assignment
Each participant has an equal opportunity to be assigned to either treatment group
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Confounding Variable
Any variable that is outside the experimenters control that influence the outcome
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Independent Variable
The variable that is manipulated by the researcher
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Dependent Variable
The one that is observed in order to assess the effect of the treatment
What is an experimental condition?
Individuals do receive the experimental condition
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Nonequivalent Group
A study that involves comparing two groups of scores and the researcher has no ability to control which participants go into which group
What is a pre-post test?
Individuals are measured before and after the test
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Quasi-Independent Variable
The “independent variable,” in a non-experimental study, that is used to create the different groups of scores
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Constructs
Internal attributes or characteristics that cannot be directly observed but are useful for describing and explaining behavior
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Operational Definition
Measuring an external behavior and uses the resulting measurements as a definition and a measurement of a hypothetical construct
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Discrete Variable
Consists of separate, indivisible categories; no values can exist between two neighboring categories
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Continuous Variable
There are an infinite number of possible that fall between any two variables
Ex: 18 18.5 19
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Real Limits
The boundaries of intervals for scores that are represented on a continuous number line; positioned exactly halfway between adjacent numbers
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Upper Real Limits
Is at the top of the interval
Ex: X= 31.1 Upper real limit: 31.15
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Lower Real Limits
Is at the bottom of the interval
Ex: X= 31.1 Lower real limit= 31.05
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Nominal Scale
Label and categorizes observations, but do not make any quantitative distinctions between observations
Ex: gender; room numbers
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Ordinal Scale
A set of categories that are organized in an ordered sequence
Ex: rank in class; clothing sizes
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Interval Scale
Ordered categories that are all intervals of exactly the same size
Ex: temperature; IQ
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Ratio Scale
An interval scale with the additional feature of an absolute zero point
Ex: number of correct answers
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“N”
The number of scores in a population
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“n”
The number of scores in a sample