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Research
Hypothesis
and Defining
Variables
RESEARCH HYPOTHESIS
• simply an educated guess or hunch that can be
  supported by theory and previous research.

• A wise guess that is formulated and temporarily adopted
  to explain the observed facts covered by the study
  (Calmorin and Calmorin,1999).

• A declarative statement that is tentative in nature.

• It must be tested, explained and measured

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Two Types of
Hypothesis
Two Types of Hypothesis
• Null Hypothesis
     – a denial of an attribute, an existence, a difference
       or an effect or relationship expressed in negative
       statement.


• Example:
     – “There is no significant difference in the perception
       of the different groups of respondents on the
       effectiveness of the program in terms of its vision”

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Two Types of Hypothesis
• Alternative Hypothesis
   – affirms the existence of a phenomenon, acceptance
     of the attribute of relationship, effects and
     differences.


• Example:
   – “There is a significant difference in the perception of
     the different groups of respondents on the
     effectiveness of the program in terms of its vision.”

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Characteristics
of Hypotheses
Characteristics of Hypotheses
A good hypothesis has
  several basic
  characteristics:

     – Testable

     – logical

     – directly related to the
       research problem

     – represents a single unit or
       subset of the problem

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Characteristics of Hypotheses
  – factually or theoretically
    based
   - states a relationship
   between variables



  – sets limits of study

 - stated in a form that can be
 accepted or rejected




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Sources of
Hypothesis
Sources of Hypothesis
• based on observation:
     – Environment
     – on literature
     – on other empirical data
     – personal experiences



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Criteria for Evaluating Research
Hypothesis
           • stated in declarative form

           • be consistent with known facts, previous researches,
             and theories

           • statement should follow from the statement of the
             research problem


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Criteria for Evaluating Research
Hypothesis
           • state the expected relationship between two or
             more variables

           • Testable

           • stated clearly and concisely

           • The level of significance must be indicated when
             stating the null hypothesis
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Example of a Research Hypothesis:
• The following hypothesis were tested at 0.05 level of significance

• There is no significant gain between the pre-test and post-test
  scores of students exposed to Computer-Aided Instruction in
  Analytic Geometry

• There is no significant gain between the pre-test and post-test
  score of the students exposed to Classroom Information
  System in Analytic Geometry.

• There is no significant difference in the performance of
  students exposed to Computer-Aided Instruction and Classroom
   Information System.


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RESEARCH
VARIABLES
RESEARCH VARIABLES

 • are qualities, properties or characteristics
   of person, things or situations that change
   or vary.


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Characteristics of Variables

           • Identify the concepts to be studied

           • Variables are measurable

           • Variables are usually specific in focus



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Different
Classification of
Variables
Different Classification of Variables
 1. According to possible number of values
      – Dichotomous Variables
            • variables that take only two values
                – Example:
                    » Religion (catholic or non-catholic)
                    » Nature of employment (part-time or full-time)
                    » Sex/Gender (Male or Female)

      – Polytomous Variables
            • variables that take more than two values
                – Example:
                    » Nationality (Chinese, Japanese, Filipinos, Americans, and
                      Malaysians)

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Different Classification of
Variables
2. Independent or Dependent
     – Independent Variable

           • known as the presumed cause

           • it is the antecedent

           • it is the variable predicted from

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Different Classification of
Variables
2. Independent or Dependent
     – Dependent Variable

           • known as the presumed effect

           • it is the consequent

           • it is the variable predicted to

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SAMPLE:

• An experimenter might compare the effectiveness of
  four types of antidepressants.

• The variable is
     – "type of antidepressant."

• When a variable is manipulated by an experimenter, it is called an
  independent variable.

• The experiment seeks to determine the effect of the independent
  variable on relief from depression.

• In this example, relief from depression is called a
     – dependent variable.
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Conclusion
• In general,

     – the independent variable is manipulated
       by the experimenter and

     – its effects on the dependent variable are
       measured.
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SITUATION…
• Can blueberries slow down aging? A study
  indicates that antioxidants found in blueberries
  may slow down the process of aging. In this
  study, 19-month old rats (equivalent to 60-year
  old humans) were fed either their standard diet
  or a diet supplemented by either blueberry,
  strawberry, or spinach powder. After eight
  weeks, the rats were given memory and motor
  tests. Although all supplemented rats showed
  improvement, those supplemented with blue
  berry powder showed the most notable
  improvement.
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QUESTION…
1. What is the independent variable?

3. What are the dependent variables?




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ANSWER. . .
1. What is the independent variable?

       (diet: blueberries or no blueberries)

4. What are the dependent variables?

       (memory test and motor skills test)
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Different Classification of Variables
3. Quantitative or Qualitative
     – Qualitative Variables
           - variables that express characteristics                 or properties
           - express a qualitative attribute
              - Ex. hair color, eye color, religion, favorite movie, gender, age,
                socio-economic status of respondents


     – Quantitative Variables
           - variables that express amount            and those numerical
              in nature
              – Ex. height, weight, and shoe size.
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Sample:
• In the study on the effect of diet
     – the independent variable = type of supplement: none,
       strawberry, blueberry, and spinach.

           • The variable "type of supplement" is a qualitative variable


     – the dependent variable "memory test" is a
       quantitative variable
           • memory performance can be measured on a quantitative
             scale.

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Different Classification of
Variables
4. Continuous or Categorical
     – Categorical Variables/Discrete Variables
           •   qualitative in nature
           •   variables with no infinite set of values within the category.
           •   Qualitative variables are always considered categorical variables
           •   ALL OR NONE (ex. Age, sex, blood type)

     – Continuous Variables
           • infinite in nature
           • can take an ordered set of values within a certain range
           • Reflect a rank order


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Sample:
• Discrete Variables
     – number of children in a household
     – Your possible answer may be???
           • Answer = 1, 2, 3, 4


• Continuous Variables
     – Time
     – Possible time? What time is it?
           • Answer = 9:00am or 9:00:36am or 9:00:36:37
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Other Kinds of
Variables
Other Kinds of Variables
• Extraneous or exogenous variables

     – not the direct interest of the researcher and
       should be controlled in order that the
       hypothesis can be validly tested.



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Extraneous or exogenous variables

• are variables other than the independent
  variable that may bear any effect on the
  behavior of the subject being studied.

• How to control:
     – variable is kept the same for all subjects in
       the research, or
     – they balance the variables in a group.
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Sample:
• An experiment, in which a salesperson
  sells clothing on a door-to-door basis.

• The independent variable is
     – the salesperson

• the dependent variable is
     – the clothing sales

• The extraneous variables are
     – the salesperson's gender, age, or price.
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Other Kinds of Variables
• Abstract Variables

   – These are factors that have different
     values which are quantitatively measured
     and statistically tested to prove the
     hypotheses.



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Other Kinds of Variables
• Active Variables

     – the researcher creates
       and /or manipulates

     – commonly used in
       experimental studies.

     – Can ONLY be an
       independent variable

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Other Kinds of Variables
• Attribute Variables

     – pre-existing characteristics of the subjects which the
       researcher simply observes and measures.
     – It can be an independent and dependent variable
     – Cannot be manipulated by the researcher
     – Ex. Intelligence, sex, attitude

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Definition of
Variables
Definition of Variables
• Conceptual definition
     – A universal definition of a term understood by people.


• Operational definition
     – The researcher’s own definition of terms as used in
       his/her study.
     – It is concrete and measurable, based on
       observable characteristics of what is being defined
       within the context of the study.
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Variable       Conceptual             Operational
               Definition             Definition (as used
                                      in the study)
A professional An individual who      Any individual with
               practices a particular four years of College
               profession             education
Courtesy       Civility, politeness              The use of polite
                                                 words and
                                                 expressions when
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                                                 authorities
ACTIVITY
1. MAKE A HYPOTHESIS OF YOUR STUDY.

3. After formulating the research hypothesis,
   the group should identify the variables in
   their study and give its operational and
   conceptual definition.

3. Expected output will be submitted and
   presented to the class the following meeting.
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Chapter 4-RESEARCH HYPOTHESIS AND DEFINING VARIABLES

  • 2. RESEARCH HYPOTHESIS • simply an educated guess or hunch that can be supported by theory and previous research. • A wise guess that is formulated and temporarily adopted to explain the observed facts covered by the study (Calmorin and Calmorin,1999). • A declarative statement that is tentative in nature. • It must be tested, explained and measured 06/09/12 Free template from www.brainybetty.com
  • 4. Two Types of Hypothesis • Null Hypothesis – a denial of an attribute, an existence, a difference or an effect or relationship expressed in negative statement. • Example: – “There is no significant difference in the perception of the different groups of respondents on the effectiveness of the program in terms of its vision” 06/09/12 Free template from www.brainybetty.com
  • 5. Two Types of Hypothesis • Alternative Hypothesis – affirms the existence of a phenomenon, acceptance of the attribute of relationship, effects and differences. • Example: – “There is a significant difference in the perception of the different groups of respondents on the effectiveness of the program in terms of its vision.” 06/09/12 Free template from www.brainybetty.com
  • 7. Characteristics of Hypotheses A good hypothesis has several basic characteristics: – Testable – logical – directly related to the research problem – represents a single unit or subset of the problem 06/09/12 Free template from www.brainybetty.com
  • 8. Characteristics of Hypotheses – factually or theoretically based - states a relationship between variables – sets limits of study - stated in a form that can be accepted or rejected 06/09/12 Free template from www.brainybetty.com
  • 10. Sources of Hypothesis • based on observation: – Environment – on literature – on other empirical data – personal experiences 06/09/12 Free template from www.brainybetty.com
  • 11. Criteria for Evaluating Research Hypothesis • stated in declarative form • be consistent with known facts, previous researches, and theories • statement should follow from the statement of the research problem 06/09/12 Free template from www.brainybetty.com
  • 12. Criteria for Evaluating Research Hypothesis • state the expected relationship between two or more variables • Testable • stated clearly and concisely • The level of significance must be indicated when stating the null hypothesis 06/09/12 Free template from www.brainybetty.com
  • 13. Example of a Research Hypothesis: • The following hypothesis were tested at 0.05 level of significance • There is no significant gain between the pre-test and post-test scores of students exposed to Computer-Aided Instruction in Analytic Geometry • There is no significant gain between the pre-test and post-test score of the students exposed to Classroom Information System in Analytic Geometry. • There is no significant difference in the performance of students exposed to Computer-Aided Instruction and Classroom Information System. 06/09/12 Free template from www.brainybetty.com
  • 15. RESEARCH VARIABLES • are qualities, properties or characteristics of person, things or situations that change or vary. 06/09/12 Free template from www.brainybetty.com
  • 16. Characteristics of Variables • Identify the concepts to be studied • Variables are measurable • Variables are usually specific in focus 06/09/12 Free template from www.brainybetty.com
  • 18. Different Classification of Variables 1. According to possible number of values – Dichotomous Variables • variables that take only two values – Example: » Religion (catholic or non-catholic) » Nature of employment (part-time or full-time) » Sex/Gender (Male or Female) – Polytomous Variables • variables that take more than two values – Example: » Nationality (Chinese, Japanese, Filipinos, Americans, and Malaysians) 06/09/12 Free template from www.brainybetty.com
  • 19. Different Classification of Variables 2. Independent or Dependent – Independent Variable • known as the presumed cause • it is the antecedent • it is the variable predicted from 06/09/12 Free template from www.brainybetty.com
  • 20. Different Classification of Variables 2. Independent or Dependent – Dependent Variable • known as the presumed effect • it is the consequent • it is the variable predicted to 06/09/12 Free template from www.brainybetty.com
  • 21. SAMPLE: • An experimenter might compare the effectiveness of four types of antidepressants. • The variable is – "type of antidepressant." • When a variable is manipulated by an experimenter, it is called an independent variable. • The experiment seeks to determine the effect of the independent variable on relief from depression. • In this example, relief from depression is called a – dependent variable. 06/09/12 Free template from www.brainybetty.com
  • 22. Conclusion • In general, – the independent variable is manipulated by the experimenter and – its effects on the dependent variable are measured. 06/09/12 Free template from www.brainybetty.com
  • 23. SITUATION… • Can blueberries slow down aging? A study indicates that antioxidants found in blueberries may slow down the process of aging. In this study, 19-month old rats (equivalent to 60-year old humans) were fed either their standard diet or a diet supplemented by either blueberry, strawberry, or spinach powder. After eight weeks, the rats were given memory and motor tests. Although all supplemented rats showed improvement, those supplemented with blue berry powder showed the most notable improvement. 06/09/12 Free template from www.brainybetty.com
  • 24. QUESTION… 1. What is the independent variable? 3. What are the dependent variables? 06/09/12 Free template from www.brainybetty.com
  • 25. ANSWER. . . 1. What is the independent variable? (diet: blueberries or no blueberries) 4. What are the dependent variables? (memory test and motor skills test) 06/09/12 Free template from www.brainybetty.com
  • 26. Different Classification of Variables 3. Quantitative or Qualitative – Qualitative Variables - variables that express characteristics or properties - express a qualitative attribute - Ex. hair color, eye color, religion, favorite movie, gender, age, socio-economic status of respondents – Quantitative Variables - variables that express amount and those numerical in nature – Ex. height, weight, and shoe size. 06/09/12 Free template from www.brainybetty.com
  • 27. Sample: • In the study on the effect of diet – the independent variable = type of supplement: none, strawberry, blueberry, and spinach. • The variable "type of supplement" is a qualitative variable – the dependent variable "memory test" is a quantitative variable • memory performance can be measured on a quantitative scale. 06/09/12 Free template from www.brainybetty.com
  • 28. Different Classification of Variables 4. Continuous or Categorical – Categorical Variables/Discrete Variables • qualitative in nature • variables with no infinite set of values within the category. • Qualitative variables are always considered categorical variables • ALL OR NONE (ex. Age, sex, blood type) – Continuous Variables • infinite in nature • can take an ordered set of values within a certain range • Reflect a rank order 06/09/12 Free template from www.brainybetty.com
  • 29. Sample: • Discrete Variables – number of children in a household – Your possible answer may be??? • Answer = 1, 2, 3, 4 • Continuous Variables – Time – Possible time? What time is it? • Answer = 9:00am or 9:00:36am or 9:00:36:37 06/09/12 Free template from www.brainybetty.com
  • 31. Other Kinds of Variables • Extraneous or exogenous variables – not the direct interest of the researcher and should be controlled in order that the hypothesis can be validly tested. 06/09/12 Free template from www.brainybetty.com
  • 32. Extraneous or exogenous variables • are variables other than the independent variable that may bear any effect on the behavior of the subject being studied. • How to control: – variable is kept the same for all subjects in the research, or – they balance the variables in a group. 06/09/12 Free template from www.brainybetty.com
  • 33. Sample: • An experiment, in which a salesperson sells clothing on a door-to-door basis. • The independent variable is – the salesperson • the dependent variable is – the clothing sales • The extraneous variables are – the salesperson's gender, age, or price. 06/09/12 Free template from www.brainybetty.com
  • 34. Other Kinds of Variables • Abstract Variables – These are factors that have different values which are quantitatively measured and statistically tested to prove the hypotheses. 06/09/12 Free template from www.brainybetty.com
  • 35. Other Kinds of Variables • Active Variables – the researcher creates and /or manipulates – commonly used in experimental studies. – Can ONLY be an independent variable 06/09/12 Free template from www.brainybetty.com
  • 36. Other Kinds of Variables • Attribute Variables – pre-existing characteristics of the subjects which the researcher simply observes and measures. – It can be an independent and dependent variable – Cannot be manipulated by the researcher – Ex. Intelligence, sex, attitude 06/09/12 Free template from www.brainybetty.com
  • 38. Definition of Variables • Conceptual definition – A universal definition of a term understood by people. • Operational definition – The researcher’s own definition of terms as used in his/her study. – It is concrete and measurable, based on observable characteristics of what is being defined within the context of the study. 06/09/12 Free template from www.brainybetty.com
  • 39. Variable Conceptual Operational Definition Definition (as used in the study) A professional An individual who Any individual with practices a particular four years of College profession education Courtesy Civility, politeness The use of polite words and expressions when 06/09/12 greeting elders and Free template from www.brainybetty.com authorities
  • 41. 1. MAKE A HYPOTHESIS OF YOUR STUDY. 3. After formulating the research hypothesis, the group should identify the variables in their study and give its operational and conceptual definition. 3. Expected output will be submitted and presented to the class the following meeting. 06/09/12 Free template from www.brainybetty.com