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 It is a property that can exist as
a magnitude or multitude. Quantities can be
compared in terms of "more," "less," or "equal,"
or by assigning a numerical value in terms of a
unit of measurement.
 It is the systematic empirical investigation
of observable phenomena via statistical,
mathematical or computational techniques.
 Objective?
 to develop and employ mathematical
models, theories and/or hypotheses pertaining
to phenomena
 More reliable and objective
 Can use statistics to generalise a finding
 Often reduces and restructures a complex problem to a
limited number of variables
 Looks at relationships between variables and can establish
cause and effect in highly controlled circumstances
 Subjectivity of researcher in methodology is recognized
less
 A. Survey Research
 Survey research is often used to assess thoughts,
opinions, and feelings. It uses interviews,
questionnaires, and sampling polls to get a sense of
behavior with precision. This is usually expressed in a
percentage. When conducting survey research it is
important that the people questioned are sampled at
random. This allows for more accurate findings across
a greater spectrum of respondents.
 A correlation is simply defined as a relationship
between two variables. The whole purpose of using
correlations in research is to figure out which variables
are connected. This simple definition is the basis of
several statistical tests that result in a correlation
coefficient, defined as a numerical representation of
the strength and direction of a relationship.
 Experimental research reveals a cause and effect
relationship by systematically manipulating one
parameter (the independent variable) and observing
the influence on another (the dependent variable).
 It is specifically guided by HYPOTHESIS.
 This type of research is the bedrock of most sciences,
in particular the natural sciences.
Things to Consider...
 Be specific and narrow.
 Seek measurable, observable data on variables.
Pantawid
Pamilyang Pilipino
Program (4Ps)
Poverty Alleviation
 Types:
 Descriptive research questions - simply aim to describe the
variables you are measuring.
 Comparative research questions - aim to examine the
differences between two or more groups on one or more
dependent variables (although often just a single
dependent variable).
 Relationship-based research questions - appropriate to use
when we are interested in the relationship, association,
trend, or interaction between one or more dependent and
independent variables, whether on one or more groups.
 Uses STRUCTURED techniques and must be geared
towards NUMERICAL collection.
 This numerical data can be collected by means of:
 observation
 interview
 questionnaires
 scales
 physiological measurement
 Data analysis involves the use of statistics such as
Pearson`s Correlational Coefficient (correlational
research) which focuses on describing trends,
comparing group differences or relating variables.
 Interpretation tends to consist of comparing results
with prior predictions and/or past researches.

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Quantitative research

  • 2.  It is a property that can exist as a magnitude or multitude. Quantities can be compared in terms of "more," "less," or "equal," or by assigning a numerical value in terms of a unit of measurement.
  • 3.  It is the systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.  Objective?  to develop and employ mathematical models, theories and/or hypotheses pertaining to phenomena
  • 4.  More reliable and objective  Can use statistics to generalise a finding  Often reduces and restructures a complex problem to a limited number of variables  Looks at relationships between variables and can establish cause and effect in highly controlled circumstances  Subjectivity of researcher in methodology is recognized less
  • 5.  A. Survey Research  Survey research is often used to assess thoughts, opinions, and feelings. It uses interviews, questionnaires, and sampling polls to get a sense of behavior with precision. This is usually expressed in a percentage. When conducting survey research it is important that the people questioned are sampled at random. This allows for more accurate findings across a greater spectrum of respondents.
  • 6.  A correlation is simply defined as a relationship between two variables. The whole purpose of using correlations in research is to figure out which variables are connected. This simple definition is the basis of several statistical tests that result in a correlation coefficient, defined as a numerical representation of the strength and direction of a relationship.
  • 7.  Experimental research reveals a cause and effect relationship by systematically manipulating one parameter (the independent variable) and observing the influence on another (the dependent variable).  It is specifically guided by HYPOTHESIS.  This type of research is the bedrock of most sciences, in particular the natural sciences.
  • 8.
  • 9. Things to Consider...  Be specific and narrow.  Seek measurable, observable data on variables. Pantawid Pamilyang Pilipino Program (4Ps) Poverty Alleviation
  • 10.  Types:  Descriptive research questions - simply aim to describe the variables you are measuring.  Comparative research questions - aim to examine the differences between two or more groups on one or more dependent variables (although often just a single dependent variable).  Relationship-based research questions - appropriate to use when we are interested in the relationship, association, trend, or interaction between one or more dependent and independent variables, whether on one or more groups.
  • 11.  Uses STRUCTURED techniques and must be geared towards NUMERICAL collection.  This numerical data can be collected by means of:  observation  interview  questionnaires  scales  physiological measurement
  • 12.  Data analysis involves the use of statistics such as Pearson`s Correlational Coefficient (correlational research) which focuses on describing trends, comparing group differences or relating variables.  Interpretation tends to consist of comparing results with prior predictions and/or past researches.