Psychology Statistics Chapter 1

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30 Terms

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Statistics

A set of mathematical procedures for organizing, summarizing, and interpreting
information

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Population (N)

the set of all the possible individuals in a particular study

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Sample (n)

set of individuals selected from the population, usually intended to represent
the population in a research study

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Variable


a characteristic or condition that changes or has different values for different

individuals. In statistics, they are usually identified by the letters X and Y

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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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Score (Raw Score)


a single measurement or observation

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Parameter

a numerical value that describes the population

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Sample statistic

a numerical value that describes the sample

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Descriptive statistics

procedures used to summarize, organize, and simplify data

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Inferential Statistics

techniques that allow us to make generalizations about the populations from which the data was collected

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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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Constructs


internal attributes or characteristics that cannot be directly observed (e.g.,

intelligence)

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Operational definition


identifies the set of operations for measuring a behavior. Uses the resulting measurements as both a definition and a measurement of a construct


procedure for measuring external behavior wherein the resulting measurements measure a hypothetical construct

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Categorial/Discrete variables


Cannot be divided infinitely. No values can exist between two neighboring categories. Numbers may be used the categories as a “label/code”

ex: 1 for men, 2 for women, 3 for non-binary

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Continious Variables

Infinitely divisible variables, numbers on a number line

ie: height in inches, iron in blood in ml, hours slept in a day

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Binary Scales

• Classifies a variable into categories/groups with ONLY two possibilities
• No numerical or quantitative properties

example: alive/dead, pregnancy

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Nominal Scales


• Classifies a variable into categories/groups with more than two

possibilities
Set of categories that have different names, cannot be ranked

ie: eye color, political orientaion, gender, year

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Ordinal Scale

• Allows variable levels to be rank ordered
• There are no values attached to the intervals, so you cannot determine the magnitude of the differences between them

Set of categories that are organized in an ordered sequence

<p><span style="font-size: calc(var(--scale-factor)*11.00px)">• Allows variable levels to be rank ordered</span><br><span style="font-size: calc(var(--scale-factor)*11.00px)">• There are no values attached to the intervals, so you cannot determine the magnitude of the differences between them</span></p><p>Set of categories that are organized in an ordered sequence</p>
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Interval Scale

• Difference between the numbers is meaningful and can be ranked
• Intervals are equal in size
• Quantitative value, but no meaningful zero reference point

Set of rank ordered categories that are all intervals of exactly the same size

<p><span style="font-size: calc(var(--scale-factor)*11.00px)">• Difference between the numbers is meaningful and can be ranked</span><br><span style="font-size: calc(var(--scale-factor)*11.00px)">• Intervals are equal in size</span><br><span style="font-size: calc(var(--scale-factor)*11.00px)">• Quantitative value, but no meaningful zero reference point</span></p><p>Set of rank ordered categories that are all intervals of exactly the same size</p>
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Ratio Scale

Quantitative with all numerical properties including an absolute zero reference point

set of order, equal categories wherein a zero score indicates none of the variable being measured, allowing meaningful ratio

<p><span style="font-size: calc(var(--scale-factor)*11.00px)">Quantitative with all numerical properties including an absolute zero reference point</span><br><br>set of order, equal categories wherein a zero score indicates none of the variable being measured, allowing meaningful ratio</p>
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Correlational method

observing two different variables to determine whether there is a relationship between them within a single group of people

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The experimental method

manipulating one variable (IV) while another variable (DV) is observed and measured

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Control group

individuals do not receive the experimental treatment → they either receive no treatment or a placebo treatment. The purpose of this
is to provide baseline data for comparison with the experimental group

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Experimental group

individuals receive the experimental treatment (a
drug, a therapy, a method of teaching, etc)

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Confounding variable

variables not controlled in an experiment that might provide
more than one explanation for the results

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Non experimental method

still compares two groups of scores on a dependent
variable, but one variable is unable to be manipulated or randomly assigned (quasi-independent variable)

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a specialized symbol used to stand for summation

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∑X

a statistical notation meaning “the sum of scores” → requiring you to sum all the X values

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Real limits

Boundaries of intervals for scores that are represented on a continious number line. This seperates two adjacent scores is located halfway between 2 scores (ie: 7.5-8-8.5)