capstone 4th quarter Flashcards
The information you collect, study,
or process, whether they are from field
studies or laboratory experiments are called
data`
data are classified as
(1) qualitative
(2) quantitative
which are descriptive and unstructured, and
(1) qualitative
which are measurable
and analyzed using statistical tools
(2) quantitative
The three standard methods of collecting data:
observation,
experiment,
survey
The researcher
observes and measures the characteristics of
the subjects without applying any treatment.
Observational Data.
types of observation
Participant Observation
Non-participant Observation
Naturalistic Observation
Simulation
The researcher takes an active part of the group
without the knowledge of the rest of the group.
Participant Observation
The researcherpassively observes** the test
group from a distance by not participating in their
activities.
Non-participant Observation
The researcher observes the behavior of the test
group in a natural environment and not in a
laboratory setting.
Naturalistic Observation
The researcher observes the behavior of the test
group in a natural environment and not in a
laboratory setting.
Naturalistic Observation
mathematical, physical,
or computer models are used to imitate the
conditions of a process or situation.
Simulation
are collected from
the experimental study that involves taking
measurements in a controlled setting.
Experimental Data
are collected from
the experimental study that involves taking
measurements in a controlled setting.
Experimental Data
is the
one that is manipulated by the researcher,
independent
is the one likely
to change in response to the independent
variable.
dependent
is the one likely
to change in response to the independent
variable.
dependent
The remaining variables that stay
constant all throughout the experiment is
called
controlled
The data collected from the
experiments are called
raw data
There
are two ways of analyzing data:
- Descriptive Statistics
- Inferential Statistics
gives information that describe the data for the
entire group. It summarizes or displays facts that are already known. It is
often presented as graph, chart, or table.
Example: A teacher gets the average, or mean scores, of the whole class in
an examination.
Descriptive Statistics
compares groups, test hypothesis, and makes
predictions about a population. It gathers a sample that is randomly selected.
- Inferential Statistics
The purpose of the analysis
is to describe
and summarize the data, identify relationships between variables, compare variables,
determine the difference between variables, and forecast outcomes.
Description or labels without logical order; may be
recorded as text or be assigned with a numerical
code.
nominal
Measurements arranged in order, but intervals in
between variables are not equal.
ordinal
These variables
can be measured and are either discrete or
continuous.data** have an absolute zero point.**
Ratio
do not have a true zero point,
interval
number of observation within a given interval
frequency distribution
the proportion of observation within a given interval
percentage
the average within a rannge of values
mean
central value within a range of values
median