Research 1st Prelim Flashcards
The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions
Statistics
Gathered by the Researcher
Primary Data
Using data of other sources
Secondary Data
Complete enumeration in which every member of the population is included
Census
Survey of a portion of the population
Sample Survey
A sampling method, which makes use of the knowledge of the characteristics of the individual element in the population and thus, the chance that, each element has of being drawn as sample
Probability sampling
A sampling method which does not specify the probability of selection of the elements in the population
Non-probability sampling
Items which come in handy are taken as samples.
Accidents or haphazard samples
Sample is selected with the researcher’s subjective judgment
Judgment or purposive sampling
Purposive sampling with the added specification that sample is proportioned to the population
Quota sampling
Process of selecting a sample wherein every element in the sampled population is given an equal non–zero chance of entering the sample
Random Sampling
Sampling wherein every unit is included after a random start is taken for the sample
Systematic Random Sampling
Population is divided into homogenous groups of strata and selection is done within each strata
Stratified Sampling
Sampling done in several stages
Multi–Stage Sampling
Is a scientific method of dealing with data. It is the collection, organization, presentation and interpretation of numerical data
Descriptive Statistics
Involves the interpretation of values resulting from the descriptive techniques
Inferential Statistics
Characteristics or phenomenon which may take on different values
Variable
Characteristics which assume only one value
Constant
Variables which are expressed numerically in terms of magnitude
Quantitative or Numerical Variable
Variables expressed in quality or kind
Qualitative or Categorical Variables
One which assumes values between two points in a continuous scale
Continuous Variable
One which can only assume a finite number of values; Most frequently integers
Discrete Variable
A collection of observations
Data
Has all the characteristics of the interval scale and in addition has a true zero point.
Ratio scale