Aims to find the prevalence of a phenomenon, problems, issues, situations or attitudes by selecting a cross-section of a population
Pre-Test/ Post-Test Design
Measure change in a situation or problem
Change is measured by comparing the difference in a variable before and after
Can be described as two-sets cross sectional data
Retrospective
Investigates problems/issues that happened in the past
Recall or recollection
Prospective
Establish the outcome of an event or what is us likely to happen
Foreseeing
Retrospective-Prospective
Data are analyzed and used as basis of future projections
Trend Studies
Longitudinal study design
series as repetitive cross-sectional studies
The population is visited several times at regularinterval
Experimental Design
Used to determine Cause-and-Effect relationship
Researcher introduces the intervention that is assumed to be the cause of change and waits until it has produced changes
Non-Experimental Design
observes a phenomenon and tries to establish the outcome
Determination of Causation
Semi-Experimental/ Quasi-Experimental Design
Half/half
A: with intervention
B: without Intervention
C: control
Research Method
Philosophical, theoretical, conceptual and analytic perspective of Research
Quantitative, Qualitative, and Mixed
Research Design
Plan, structure, strategy of investigation to obtain answers to research question/problem
Complete scheme/program of the research (Kerlinger in Kumar, 2011)
Sampling
Kerling in Kumar, 2011.
The process of selecting sample from the population to become the basis for examining or predicting
Sample
smaller part of the whole; subset of the entire population
Representative of a population in the study
Population
complete set of elements that possesses a parameter between them
3 Major Sampling
Probability
Non-Probability
Mixed
Experimental Design
CRD (Completely Randomized Design)
RCBD (Randomized Complete Block Design)
LSD (Latin Square Design)
Probability
Simple Random
Stratified
Systematic
Cluster
Non-Probability
Availability
Purposive
Respondent-Assisted
Quota
Mixed
Telephone
Internet
Address
Time
Space
Parts of the Triple Beam Balance
Pan
Beams (Front beam: 10g Middle Beam: 500g Back Beam: 100g)
Riders/Counter masses/ Weight Poises
Notch
Zero Adjustment Knob
Simple Random Sampling
each element in the population has an equal and independent chance of selection
choice of one element isn't dependent upon the choice of another element
Stratified
Population is separated into mutually, exclusive, homogenous segments (strata) and then simple random sampling is implemented to each segment (Stratum)
Systematic Sampling
Random selection is made of them irst element for the sample, then subsequent elements are selected using a fixed intervals
Cluster Sampling
Elements of the population are randomly selected in naturally occurring groupings
Purposive Sampling
elements are selected from the population based on their fit with the purposes of the study and specific inclusion and exclusion