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Inquiry
defined as “the systematic search of information, knowledge, and truth about certain thing”. It is the process of solving problem through researching and probing. It involves questioning and interrogation.
Investigation
is the systematic examination to uncover facts regarding the matter. Investigation is done carefully and by thoroughly inspecting details in organized manner and assessing facts which are uncovered in the process.
Immersion
means that the researchers immerse themselves in the culture they are studying. The payoff of immersion is usually immense as the researcher can gain more information than through other method.
Clarke and Clarke
research is a careful, systematic and objective investigation conducted to obtain valid facts, draw conclusions and establish principles regarding an identifiable problem in some field of knowledge.
American College of Dictionary, 1964
states that research is a diligent and systematic inquiry or investigation into a subject in order to discover facts or principles.
OECD, 2002
states that research comprises “creative work undertaken on a systematic basis in order to increase the stock of knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications.
Quantitative Research
type of research that entails the collection of numerical data and exhibiting the view of relationship between theory and research as deductive, a predilection for natural science approach, and as having an objectivist conception of social reality, Bryman and Bell (2005, p. 154).
Qualitative Research
this type of research asks broad questions and collects word data from phenomena or participants. The researcher looks for themes and describes the information in themes and patterns exclusive to that set of participants.
Statistics
the science of methods of collection, organization and presentation, and analysis and interpretation of data to make informed decisions
POPULATION
the collection of units to which we want to generalize a set of findings.
SAMPLE
a representative portion of the population that is selected for analysis
PARAMETER
any summary measure that describes a characteristic of an entire population
STATISTIC
any summary measure computed from the sample data that is used to describe or estimate a characteristic of the entire population
DATUM (P. DATA )
individual pieces of factual information recorded and used for the purpose of analysis
VARIABLE
anything that can be measured and can differ across entities or across time.
QUANTITATIVE (NUMERICAL)
variables that are measurable therefore, those whose values are numbers
QUALITATIVE ( CATEGORICAL )
variables that cannot be measured on a natural numerical scale and are typically classified into one of a group of categories
MANIFEST
a variable whose values are easily observable.
LATENT
a variable that cannot be directly measured, but is assumed to be related to several variables that can be measured.
DISCRETE
a variable that can only take on certain values on the scale.
CONTINUOUS
a variable that can be measured to any level of precision
NOMINAL
value has distinct meaning (color, flavor) (dichotomous [binary] - nominal variables have exactly two values)
ORDINAL
natural order (clothing size, presidential order)
INTERVAL
the difference between two values has meaning (temperature, test scores)
RATIO
natural starting point or least possible value (height, weight, kelvin, speed)
DATA COLLECTION
the systematic approach to gathering and measuring information from one or a variety of sources to obtain a complete and accurate picture of an area of interest.
COMPLETE ENUMERATION
the concept of collecting data from all members of the population
SAMPLING
the process of selecting the members of the sample from the population
SLOVIN’S FORMULA
formula used to determine the sample size based on the population size or the least number of members which need to be included in the sample
PROBABILITY SAMPLING
every member of the population has an equal chance of being selected as part of the sample.
NON PROBABILITY SAMPLING
the sample is selected based on non-random criteria and not
SIMPLE RANDOM SAMPLING
every member of the sample has been randomly selected through a process such as “fishbowl technique” or through a computer application.
STRATIFIED RANDOM SAMPLING
when the population naturally exists with clusters, the sample is selected so that each cluster is proportionately represented in the sample.
CLUSTER SAMPLING
if the population has naturally occurring, similar groups, the sample may be chosen by selecting whole groups instead of individuals.
SYSTEMATIC SAMPLING
every kth element of the randomly arranged population is chosen to become part of the sample.
MULTISTAGE SAMPLING
involves a combination of consecutively conducted random sampling techniques.
CONVENIENCE SAMPLING
every member of the sample is chosen out of convenience of the researcher such as availability of the respondent for participation in a survey
PURPOSIVE SAMPLING
a specific criteria decided by the researcher is used to select the sample
SNOWBALL SAMPLING
a few members of the population are chosen and are asked to refer others to participate in the same research