bengkel spss basic
DESCRIPTION
spssTRANSCRIPT
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SPSS Windows SPSS Data Editor (.SAV)
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SPSS Windows
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SPSS Data Viewer(.SPV)
SPSS Windows
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SPSS Syntax Editor(.SPS)
SPSS Windows
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Steps in Data Analysis
Define Variables
Enter Data
Run Frequency
Data Editing
Reliability Test
Transform EDA Normality
Data Analysis
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Define variables in Variable View window
Define;
Name
Label
Values
Measure (Nominal, Ordinal, Interval or Ratio)
1 Define
Variables
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Enter your data in Data View window
Refer to the training materials =)
Enter Data
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Run frequency
Frequency
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Change data value
Delete a case
Insert a case between existing cases
Delete a variable
Insert a variable between existing variables
Move an existing variable(s)
Data Editing
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Commonly used;
1. Compute new variable is created based on existing variable(s)
2. Recode used to recategorize values and create categories from continuous variable
Data Transformation
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Statistical Procedures 1. Reliability
2. Descriptive Statistics
3. Compare group mean (t-test and ANOVA)
4. Relationship between variables (Pearson Correlation)
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Determine the quality of your instrument
Consistency and repeatability of the measurement
The extent to which a measurement will yield the same score when administered in different times, locations or population
Most common: Alpha Cronbach
In social science most accepted cut-off point is .70 or higher.
Reliability
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Important! Dont forget to RECODE all the negatively worded items
Sensitive to the number of items in scale (less items produce lower alpha)
Interpretation (George & Mallery, 2001)
Alpha Indicator
> .9 Very Good
> .8 Good
> .7 Acceptable
> .6 Questionable
> .5 Weak
> .4 Unacceptable
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Results Reliability of Attitude
AFTER RECODE
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Table Reliability of Attitude Scale
Instrument No of Items Cronbach Alpha
Attitude 5 .702
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Compute
Please create a new variable based on the existing variables
Formula: Sum(B1, B2, B3, B4, B5)
Mean(C1 to C4)
Data Transformation
No New Variable Existing Variable # of Items
1 Attitude B1 B5 5
2 Job Stress C1 C4 4
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Recode
Recode Attitude into Attitude_cat
Category Level Range
1 Low 1.00 2.33
2 Moderate 2.34 3.66
3 High 3.67 5.00
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Results and Table Present the results in the table
Variable Freq % Mean SD
Attitude Low (1.00-2.33) Moderate (2.34 3.66) High (3.67 5.00)
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Hypothesis Testing
Describe Frequency
Descriptive
Compare T-test
Anova
Relationship Pearson
Correlation
Research Major
Concern
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Hypothesis Testing
State Ho and HA
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Alpha () 0.05
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t-value Sig-t (p)
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Decision Conclusion
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Criteria Decision Sig-t < Reject Ho Sig-t > Fail to reject Ho
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T-test 3 types of t-test
One sample t-test
Independent sample t-test
Paired sample t-test
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Results
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T-test Results
Jika sig-F > .05 baca Equal variances assumed
Sig-t < .05 maka Reject Ho
Terdapat perbezaan yang signifikan antara lelaki dan perempuan dalam sikap terhadap QWL, t(24)= 5.689, p
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Table Table: Comparison of attitude between gender
Gender n Mean SD t p
Male 11 3.71 .40 5.689 .000
Female 15 2.6 .55
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Analysis of Variance (ANOVA) Compare differences between group means
Exp: Education level Certificate
Diploma
Bachelor Degree
Requirements
1. DV: Interval or Ratio
2. IV: Nominal or Ordinal (k>2)
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Hypothesis Testing
State Ho and HA
1
Alpha () 0.05
2
F-ratio Sig-F (p)
3
Decision Conclusion
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Criteria Decision Sig-F < Reject Ho Sig-F > Fail to reject Ho
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Results
Sig-Levene (p) meet assumption Sig-Levene (p) violate assumption
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Results
Sig-F < .05 maka Reject Ho
Terdapat perbezaan yang signifikan antara tahap pendidikan responden terhadap QWL, F(2,23)=6.416, p
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Results
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Table Table: Results of ANOVA between QWL and Level of
education
Education Level n Mean SD F p
Certificate 8 2.58 .65 6.416 .006
Diploma 11 2.62 .87
Bachelor Degree 7 3.88 .85
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Pearson Correlation Determine the relationship between 2 variables
Requirements;
1. DV: Interval/Ratio
2. IV: Interval/Ratio
Based on the r, we can describe;
1. Strength
2. Direction
Correlation coefficient -1 r 1
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Interpretation (Cohen, 1988) r Strength of Relationship
.10 - .29 Weak relationship
.30 - .49 Moderate relationship
.50 1.00 Strong relationship
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Hypothesis Testing
State Ho and HA
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Alpha () 0.05
2
Sig-value (p)
3
Decision Conclusion
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Criteria Decision p < Reject Ho p > Fail to reject Ho
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Results
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Results Correlation coefficient r= .738
Nature of relationship There is a positive and high relationship between attitude and QWL, r= .738, p< .05.
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Results
Hypothesis test, = .01 Sig-p (.000) < (.01) Maka Reject Ho Terdapat hubungan yang signifikan antara sikap dan QWL pada aras signifikan .01
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Table Table: Correlation coefficient between Attitude and
QWL
Variable R P
Attitude .738 .000
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How to run frequency?
Pilih pembolehubah yang dikehendaki & pindahkan ke kotak variable(s)
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How to run frequency?
Klik button Statistics tick Minimum dan Maximum Continue OK
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How to run frequency?
Jika ingin laporkan peratus, sila gunakan Valid Percent
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How to recode negative item(s)? Pilih item yang ingin direcode isikan kotak Name dan Label Klik Change Klik Old and New Values
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How to recode negative item(s)?
Masukkan nilai asal di bahagian Old Value dan nilai baharu di New Value Klik Add dan setelah semua nilai ditukar klik Continue OK
Nilai baharu akan dipaparkan di Data View
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How to run reliability?
Analyze Scale Reliability Analysis
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How to run reliability? Masukkan item-item yang membentuk Attitude (INGAT: Jika terdapat item negatif, gunakan item yang telah di recode!!!)
Model: Alpha Scale Label: Rel_Attitude
Klik Statistics
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How to run reliability?
Tick Item, Scale, Scale if Item Deleted, Means dan Variances Continue OK
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How to run reliability?
Nilai kebolehpercayaan Alpha Cronbach: .702
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How to compute?
Transform Compute Variables
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How to compute?
Target Variable: Attitude (Masukkan nama pembolehubah baharu seperti Skor Sikap, Skor QWL dsb )
Masukkan persamaan matematik yang diperlukan untuk membentuk skor keseluruhan/min pembolehubah OK Variable baharu akan terbentuk di Data View
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How to recategorize (Recode)
Menggunakan skor min Attitude, skor akan dikategorikan kepada High, Moderate dan Low
Transform Recode into different variables
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How to recategorize (Recode) Pindahkan Attitude ke kotak Output Variable Isikan Name dan Label Klik Change Klik Old and New values
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How to recategorize (Recode)
Klik Range masukkan nilai Range masukkan nilai Value Add, setelah selesai Klik Continue OK (Output di data View)
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How to run t-test?
Analyze Compare Means Independent Samples T Test
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How to run t-test?
Masukkan pembolehubah yang diingini ke kotak Test Variable(s) dan kumpulan yang ingin dibandingkan ke kotak Grouping Variable Define Groups Continue OK
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How to run t-test?
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How to run ANOVA?
Analyze Compare Means One-Way ANOVA
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How to run ANOVA?
Masukkan pembolehubah yang diingini ke dalam kotak Dependent List dan faktor yang ingin dibandingkan ke dalam kotak Factor Klik Post Hoc
Klik pada Tukey Continue Klik Options
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How to run ANOVA?
Pilih Descriptive dan Homogeneity of variance test Continue OK
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How to run ANOVA?
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How to run correlation?
Analyze Correlate Bivariate
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How to run correlation?
Masukkan dua pembolehubah yang diingini ke dalam kotak Variables Klik Options
Klik kedua-dua pilihan dalam kotak Statistics Continue OK
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How to run correlation?
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Please check this website to get more info on SPSS http://ace.upm.edu.my/~bas/ (go to Selected Links and klik Training Materials)
THANK YOU FOR YOUR ATTENTION
GOOD LUCK
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