Chapter 1 Flashcards
Population
The entire set if the individuals of interest for a particular research question
Statistic
Refers to a set of mathematical procedures for organizing,summarizing, and interpreting data.
Sample
Set of individuals selected from a population, usually intended to represent the population in the research study
Variable
A characteristic or condition that charges or has different values for different individuals
Data
Data of datum; measurements or observations.
Data set
Is a collection of measurement of observations
Datum or raw score
Singular for data; is a single measurement or observation
Parameter
Is a value, usually a numerical value to describe a population. A parameter usually derived from measurements of the individuals in a population.
Statistic
A value, usually a numerical value, that describes a sample. Usually derives from measurements of individuals in the sample.
Descriptive statistic
Statistical procedures used to summarize, organize, and simplify data.
Inferential statistical
Consist of techniques that allow us to study samples and then make generalizations about the populations from which they were selected.
Sampling error
Is the naturally occurring discrepancy, or error, that exists between a sample statistic and the corresponding population parameter.
Correlation method
Two different variables are observed to determine whether there is a relationship between them.
One group of individuals
Experimental method
One variable is manipulated while another variable is observed and measured. To established a cause and effect relationship between and two variables, an experiment attempts to control all other variables to prevent them from influencing the results
Independent variable
Variable that is manipulated by the researcher. In behavioral research, it usually consists of two or more treatment conditions to which subjects are exposed. Consists of antecedent conditions that are manipulated prior to observing the dependent variable
Dependent variable
a variable that is observed to assess the effect of the treatment
Control condition
Individuals that do not receive experimental treatment. Instead, they receive no treatment or they receive a neutral, placebo treatment. Purpose is to provide a baseline for comparison with the experimental condition.
Control group
The individuals in the control condition
Experimental condition
Individuals in this group do receive the experimental treatment and called the experimental group
Quasi-independent variable
In a non experimental study, the independent variable that used to create the different groups of scores
Constructs or hypothetical constructs
Internal attributes or characteristics that cannot be directly observed but are useful for describing and explaining behavior
Operational definition
Identifies a measurement procedure (set of operations) for measuring an external behavior and uses the resulting measurements as a definition and measurement of an internal construct.
Discrete variable
Consists of separate, indivisible categories. No values exist between two neighboring categories
Continuous variable
There are an infinite number of possible values that fall between any two observed values. Continuous variable is divisive into an infinite number of fractional parts.
Real limits
The boundaries of intervals for scores that are represented on a continues number line; the real limit see pertain two adjacent score is located exactly halfway between the scores. Each score has two real limits.
Upper real limit
At the top of the interval
Lower real limit
At the bottom of the interval
Nominal scale
Consists of a set of categories that have different names. Measurements on a nominal scale label and categorize observations, but do not make any quantitative distinctions between observations.
Ordinal scale
Consists of a set of categories that are organized in an ordered sequence. Measurements on an ordinal scale rank observations in terms of size and magnitude.
Interval scale
Consists of ordered categories that are all intervals of exactly the same size. Equal differences between numbers on the scale reflect equal differences in magnitude. However, the zero point on an interval scale is arbitrary and does not indicate a zero amount of the variable being measured.
Ratio scale
An interval scale with the additional feature of an absolute zero point. With a ratio scale, ratios of numbers do not reflect ratios of magnitude.
€X^2
0
1
6
3
0^2= 0 1^2= 1 6^2= 36 3^2= 9
0+1+36+9= 46
(€X)^2
0
1
6
3
0+1+6+3= 10
10^2 = 100
€X +1
0
1
4
2
1+4+2=7 +1=8
Nonexperimental study
No manipulation. Just observation of two variables.