INTRODUCTION OF PSYCHOLOGICAL STAT Flashcards

1
Q

When dealing with an enormous amount of
information, it is all too easy to become overwhelmed.

A

Organize Data

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2
Q

Think about what happens when researchers
collect a great deal of information about a group of people (for
example, the Philippines Census).

A

Describe data

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3
Q

Is a characteristic or condition that can change or
take on different values.

A

variable

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4
Q

is selected to represent the population in a research study. The goal is to use the results obtained from the sample to help answer questions about the
population.

A

Sample

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5
Q

(Such as class size) consist of indivisible
categories, and continuous variables (such as time or
weight) are infinitely divisible into whatever units a researcher
may choose. For example, time can be measured to the
nearest minute, second, half-second, etc.

A

Discrete Variables

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6
Q

Are procedures used to summarize, organize, and make sense of a set of scores or observations.
- typically presented graphically, in tables, or a summary

A

Descriptive Statistics

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7
Q

To define the units for a continuous variable, a researcher
must use _______________ which are boundaries located exactly
half-way between adjacent categories.

A

Real limits

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8
Q

The process of measuring a variable requires a set of
categories called a ______________ and a process that classifies each individual into one
category.
- Are rules for how the properties of numbers can change with different uses

A

Scale of measurement

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9
Q

4 types of measurement scale

A

Nominal Scale
Ordinal Scale
Interval Scale
Ratio Scale

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10
Q

Is an unordered set of categories
identified only by name.

A

Nominal Scale

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11
Q

Is an ordered set of categories.
Ordinal measurements tell you the direction of
difference between two individuals.

A

Ordinal Scale

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12
Q

is an ordered series of equal-sized categories.

A

Interval Scale

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13
Q

is an interval scale where a value of zero indicates
none of the variable.
a quantitative scale where there is a true zero and equal intervals between neighboring points

A

Ratio Scale

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14
Q

is to determine whether
there is a relationship between two variables and to describe
the relationship.
- simply observes the two variables as
they exist naturally.

A

Correlational study

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15
Q

is to demonstrate a
cause-and-effect relationship between two
variables; that is, to show that changing the value of
one variable causes changes to occur in a second
variable.

A

experiment

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16
Q

are procedures used that allow researchers to infer or generalize observations made with samples to the larger population from which they were selected

A

Inferential Statistics

17
Q

The set of all individuals, items, or data of interest; this is the group scientists will generalize

A

Population

18
Q

a characteristic (usually numeric) that describes a population

A

population parameter

19
Q

a set of individuals, items, or data selected from a population of interest

A

sample

20
Q

a characteristic that describes a sample

A

sample statistics

21
Q

a set of systematic techniques used to acquire. modify, and integrate knowledge concerning observable and measurable phenomena

A

research method/ scientific method

22
Q

a random procedure used to ensure that participants in a study have an equal chance of being assigned to a particular group or condition

A

random assignment

23
Q

variable that is manipulated in an experiment; remains unchanged between conditions being observed in an experiment

A

independent variables

24
Q

variable that is measured in each group of a study, and is believed to change in the presence of the independent variable

A

dependent variables

25
Q

description of some observable event in terms of the specific process or manner by which it was observed or measured

A

operational definition

26
Q

a preexisting variable that is often a characteristic inherent to an individual, which differentiates the groups or conditions being compared in research study

A

Quasi- Independent Variable