objectives n variables

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    Objectives andVariables

    Ajeya Jha

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    Objectives of discussion

    To comprehend the nature of objectives To recognize how variables are related to

    concept and indicators

    To understand different types of variables

    To understand different scales of

    measurement

    To learn how various statistical techniques

    are related to nature of variable and scales ofmeasurement.

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    Formulation of Objectives

    Are goals to attain your study.

    Are derived from the problem

    statement Important to word them clearly and

    specifically.

    Are listed in two headings Main Objectives

    Sub-objectives

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    Main objective is an overall statement

    of the thrust of study.

    Statement of the main association/relationship to be discovered or

    established.

    Sub-objectives contain one aspect of

    the study

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    Wordings of your objectives determine

    the type of research design you

    undertake.

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    CHARACTERISTICS OF YOUR

    OBJECTIVES

    Objectives should be

    Clear

    Complete

    Specific

    Specify the variables

    Identify the direction of relationship

    Measurable

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    Variables

    An image, perception or concept that is

    capable of taking on different values is

    called a variable.

    Variables, indicators and concepts: Are

    they same?

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    Concepts and Variables

    Concepts are mental images or

    perceptions. E.g. strength, effectiveness

    Are subjective

    Not measurable

    It is important that concepts are

    converted to variables.

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    Indicators and Variables

    Indicators are a set of criteria reflective

    of the concept.

    Indicators can be converted to

    variables

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    Types of Variables

    As per causal model

    Independent Variables

    Dependent Variables

    Intervening variables

    Extraneous variables

    Extraneous variables are other

    variables affecting DV

    Intervening variables intervene in the

    relationship between IV and DV.

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    INDEPENDENT VARIABLESIN FACTORIAL DESIGNS

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    Kinds of Variables

    Independent Variable something

    that is changed by the scientist

    What is tested What is manipulated

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    Kinds of Variables

    Dependent Variable something

    that might be affected by the

    change in the independent variable What is observed

    What is measured

    The data collected during theinvestigation

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    Students of different ages weregiven the same jigsaw puzzle

    to put together. They were

    timed to see how long it took to

    finish the puzzle.

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    Identify the variables in this

    investigation.

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    What was the independent

    variable?

    Ages of the students

    Different ages were tested by

    the scientist

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    What was the dependent

    variable?

    The time it to put the puzzle

    together

    The time was observed and

    measured by the scientist

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    What was a controlled variable?

    Same puzzle

    All of the participants were

    tested with the same puzzle.It would not have been a fair

    test if some had an easy 30

    piece puzzle and some had aharder 500 piece puzzle.

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    An investigation was done with anelectromagnetic system made from a

    battery and wire wrapped around a

    nail. Different sizes of nails wereused. The number of paper clips the

    electromagnet could pick up was

    measured.

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    What are the variables in this

    investigation?

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    Independent variable:

    Sizes of nails

    These were changed by the

    scientist

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    Dependent variable:

    Number of paper clips

    picked up

    The number of paper clips

    observed and counted

    (measured)

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    Controlled variables:

    Battery, wire, type of nail None of these items were changed

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    The higher the temperature

    of water, the faster an eggwill boil.

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    Independent variable

    temperature of water

    Dependent variable time to cookan egg

    Controlled variable type of egg

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    The temperature of water

    was measured at different

    depths of a pond.

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    Independent variable depth of

    the water

    Dependent variable temperature Controlled variable

    thermometer

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    The greater the amount of soap in

    a soap and water mixture, the

    bigger a soap bubble can beblown.

    Design an investigation to test thishypothesis.

    Identify the variables

    What exactly will be changed? Howwill it be changed?

    What exactly will be measured?How will it be measured?

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    The farther a ball drops, the

    higher it will bounce

    Design an investigation to test

    this hypothesis.

    Identify the variablesWhat exactly will be changed?

    How will it be changed?

    What exactly will be measured?How will it be measured?

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    What Makes for Good Variables? Answer

    Is the independent variablemeasurable?

    Yes / No

    Can you change the independentvariable during the experiment?

    Yes / No

    Have you identified all relevantdependent variables, and are they all

    caused by and dependent on theindependent variable?

    Yes / No

    Are all dependent variable(s)measurable?

    Yes / No

    Have you identified all relevantcontrolled variables?

    Yes / No

    Can all controlled variables be held at a

    steady value during the experiment?Yes / No

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    As per study design

    Active variables

    Attribute variables

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    Unit of Measurements

    Quantitative variables

    Qualitative variables

    OR Continuous variables

    Discrete Variables

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    Active and Attribute variables

    Active Variables that can be

    manipulated

    E.g. teaching method, communication

    Attribute that can not be manipulated

    Age, gender, level of education

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    Quantitative Vs Qualitative

    Quantitative: Mathematical value

    Qualitative: No mathematical value

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    Continuous Vs Categorical

    Continuous: Have continuity in their

    measurement.

    Categorical: Not continuous I their

    measurement.

    Constant

    Dichotomous

    Polytomous

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    Scales of Measurement

    Nominal scale

    Ordinal scale

    Interval scale

    Ratio scale

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    Scales of Measurement

    Nominal Scale: When data are labels or

    names used to identify the attribute of

    an element, the nominal scale is used.

    Ordinal Scale: In addition to nominal

    level data capacities, ordinal scale can

    be used to rank or order objects.

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    Scales of Measurement

    Interval Scale: In interval level measurement, the

    difference between two consecutive numbers is

    meaningful.

    Ratio Scale: Ratio level measurements possess all theproperties of interval data with meaningful ratio of two

    values.

    In terms of measurement capacity, nominal, ordinal,interval, and ratio level data are placed in ascending

    order.

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    A comparison between the four levels of data

    measurement in terms of usage potential

    Independent variables

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    Independent variables

    Nominal Ordinal Interval

    Nominal

    Crosstabs/Chi-square

    Chi-square

    Discrimin

    ant/Logistic/Regression

    Ordinal

    Nonparametrictests/ordinal

    regression

    Non-parametriccorelatio

    ns

    OrdinalRegressio

    n

    Interval

    T-test,Anova

    Correlation/Regression

    D

    E

    PE

    N

    D

    E

    N

    T

    V

    A

    R

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    THANKS!

    Any questionsPlease?