CHAPTER 4-5 Flashcards
(18 cards)
A set of concept which explains the occurrence of a certain phenomenon.
Theory
A concept that stands for a variation within a class of objects or persons. The basic elements which are measured in a study.
Variables
Types of Variables
Dependent Variable
Independent Variable
Intervening Variable
Antecedent Variable
The assumed effect of another variable. A change that occurs in the study population when one or more factors are changed or when an intervention is introduced.
Dependent Variable
The assumed cause of a problem. An assumed reason for any change or variation in a dependent variable.
Independent Variable
A factor that works between the IV and DV. It can weaken or decrease or strengthen or increase the effect of the independent on the dependent variable. Also called facilitating, moderator, or control variable.
Intervening Variable
A factor of characteristic which is found before (ante) the IV. It is expected to influence the IV, it is usually reversible.
Antecedent Variable
Every member of the population has an equal chance of being selected.
Random Sampling
Random Sampling Techniques
Stratified Sampling
Systematic Sampling
Cluster Sampling
Division according to categories
Stratified Sampling
Taking the nth element from a given list
Systematic Sampling
Population is divided into clusters where samples are extracted
Cluster Sampling
Recruitment of participants occur all of a sudden as the researcher may ought them to be useful despite being unable to generalize the result found from such sample.
Non-random Sampling
Non-random Sampling
Purposive Sampling
Convenience Sampling
Quota Sampling
Snowball Sampling
Based on the knowledge of a given population and the research objective
Purposive Sampling
Direct selection of participants until the desirable amount is reached by the researcher
Convenience Sampling
Similar to convenience sampling but it ensures equal representative
Quota Sampling
A sampling technique based on recommendation
Snowball Sampling
