analisis data kuantitatif - pengenalan
DESCRIPTION
Analisis mengenai Data Kuantitatif yg asas.TRANSCRIPT
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Kuliah 9a:ANALISIS DATA KUANTITATIF
PENGENALAN
Azizi Che SemanJabatan Syariah & Ekonomi
Akademi Pengajian IslamUniversiti [email protected]
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Analisis Data Kuantitatif
• Quantification of data
• Univariate Analysis
• Subgroup Comparisons
• Bivariate Analysis
• Introduction to Multivariate Analysis
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Developing Code CategoriesTwo basic approaches:
• Beginning with a coding scheme
derived from the research purpose.
• Generate codes from the data.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Codebook Construction
Purposes:
• Primary guide used in the coding
process.
• Guide for locating variables and
interpreting codes in the data file
during analysis.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Entering Data
• Data entry specialists enter the data
into an SPSS data matrix or Excel
spreadsheet.
• Optical scan sheets.
• Part of the process of data
collection.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Quantitative Analysis
• Univariate - simplest form,describe a
case in terms of a single variable.
• Bivariate - subgroup comparisons,
describe a case in terms of two
variables simultaneously.
• Multivariate - analysis of two or
more variables simultaneously.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Univariate Analysis
• Describing a case in terms of the
distribution of attributes that
comprise it.
Example:
• Gender - number of women, number
of men.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Presenting Univariate Data
Goals:
• Provide reader with the fullest
degree of detail regarding the data.
• Present data in a manageable from.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Subgroup Comparisons
• Describe subsets of cases, subjects
or respondents.
Examples
• "Collapsing" response categories.
• Handling "don't knows."
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Bivariate Analysis
• Describe a case in terms of two
variables simultaneously.
• Example:−Gender−Attitudes toward equality for men and
women
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Constructing Bivariate Tables• Divide cases into groups according to the
attributes of the independent variable.
• Describe each subgroup in terms of
attributes of the dependent variable.
• Read the table by comparing the
independent variable subgroups in terms
of a given attribute of the dependent
variable.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
Multivariate Analysis
• Analysis of more than two variables
simultaneously.
• Can be used to understand the
relationship between two variables
more fully.
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ISTILAH-ISTILAH PENTING
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Quantitative analysis
Numerical representation and
manipulation of observations for the
purpose of describing and
explaining the phenomena that
those observations reflect.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Codebook
Document that describes the
locations of variables and lists the
assignments of codes to the
attributes composing those
variables.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Univariate analysis
Describes a case in terms of a single
variable - the distribution of attributes
that comprise it.
• Frequency distribution
Description of the number of times that
the various attributes of a variable are
observed in a sample.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Average
Measure of central tendency.
• Mean
Result of diving the sum of the
values by the total number of cases.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Mode
The most frequently occurring
attribute.
• Median
Middle attribute in the ranked
distribution of observed attributes.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Dispersion
Refers to the way values are
distributed around some central
value.
• Standard deviation
Index of the amount of variability in
a set of data.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Continuous variable
Increases steadily in tiny fractions.
• Discrete variable
Jumps from category to category
without intervening steps.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Bivariate analysis
Analysis of two variables simultaneously.
Focus is on the variables and the
empirical relationships.
• Contingency tables
Values of the dependent variable are
contingent on values of the independent
variable.
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© Azizi Che Seman
IXEH2207Metodologi Penyelidikan Syariah
ANALISIS DATA KUANTITATIF: PENGENALAN
• Multivariate analysis
Analysis of more than two variables
simultaneously.