SPSS for Beginners PDF

Reklam

2SLS 8-18
2-Stage Least Squares See 2SLS
Access, in Microsoft Office 16-2
Add Cases 13-1
Add Variables 13-4
Adjusted R-Square 7-11
Aggregate 1-20
ANOVA 5-46
ANOVA (Output Table For Regression) 7-9
ARIMA 17-29
ASCII 12-1
Autocorrelation Function 17-10
AutoCorrelation Function, interpreting 17-34
Autofit, formatting tables 11-6
Automatic Recode 2-17
Autoregression 17-1, 17-
34
Bar Graph 3-2, 4-1,
5-2
Basic Tables 6-1
Binomial (Non-Parametric Test) 14-1
Bivariate Correlation 5-23
Bivariate Correlation, interpretation 5-26
Borders, formatting in output 11-16, 11-
32
Boxplot 3-22, 4-3,
5-15
Boxplot, interpretation 3-22
Categorical Variables, explanation 2-2
Categorical Variables, Creating 2-3
Chi-Square (Non-Parametric Test) 14-4
Classification Table (Logit) 9-7
Cluster analysis 2-33
Cointegration 17-37
Column Format 1-13
Comma-Delimited ASCII data 12-2, 12-4
Comparative Analysis (Using Split File) 10-1
Comparing Across Groups (using Split
File)
10-1
Compute 2-19
Correlation 5-22
Correlation, Interpreting Output 5-26
Correlation, Use In Diagnosing
Collinearity
7-18
Count 2-31
Count (Custom Table Option) 6-13
Create Time Series 17-26
Cross Correlation Function 17-20
Cross Correlation Function,
interpretation
17-24
Cumulative frequency 3-6
Currency data type 1-6
Curve Estimation 9-8
Custom Tables 6-1
Data type, in defining variables 1-6
Data type, in reading ASCII data 12-5
Database 1-4, 16-1
Database Capture 16-1
Dbmscopy 1-5
Default Format Of Tables 11-9, 15-1
Define Clusters by 5-6
Define Lines by 5-6
Define Sets 1-40
Define Variable 1-5
Descriptives 3-20
Diagnostics, regression 7-16
Differenced, creating 17-26
Down, in Custom Tables 6-2
Dummy Variables, Creating 2-3
Dummy Variables, explanation of 2-2 Index

Index -7
Durbin Watson 17-34
Error Bar 3-24, 4-5,
5-40
Excel 1-3
Exclude (In Merging) 13-4
Explore 5-30
Extreme Values 5-32
Fields, in database capture 16-3
File Info 1-18
Filter See select
cases
First-Order Autocorrelation 17-34
Fixed-Column, in reading ASCII data 12-2, 12-6
Fonts, Data Sheet View 15-4
Fonts, formatting output 11-8
Footnotes 11-8, 11-
15, 11-33
Format, axis 11-37
Format, chart 11-18
Format, footnotes 11-15, 11-
33
Format, legends 11-35
Format, output table 11-1
Format, titles 11-33
Frequencies 3-9
Frequencies, interpretation 3-11
General Tables 2-33
Graphs (Bar, Line, Area Or Pie) 3-2, 4-1,
5-2
Graphs, custom criterion for summary
function
5-12
Gridlines, formatting in output 11-16
Gridlines, View On Screen 15-4
Group Total, in Custom Tables 6-4
Heteroskedasticity 7-16, 7-
21, 8-5
Heteroskedasticity, Intuitive
Explanation
8-1
Histogram 3-9
Homogeneity Of Variance, Testing For 5-46
If, in SELECT CASE 1-32
Independent Samples T-Test 5-42
Irrelevant Variable Bias 7-16, 7-
20, 8-22
Irrelevant Variable Bias, Intuitive
Explanation
8-2
Key Variable, in Merging 13-6, 13-8
Keyed Table, in Merging 13-6, 13-8
K-Independent Samples Non-Parametric
Test
5-50
K-Means Cluster 2-33
Kolmogorov-Smirnov Test for
Normality
3-18
K-Related Samples Non-Parametric Test 4-12
Kurtosis 3-12
Labels, Viewing In Output 15-2
Lag 12-1, 12-
20
Linear Interpolation, in replacing
missing values
17-29
Linear Trend, in replacing missing
values
17-29
Logistic See Logit
Logit 9-2
Logit, Interpretation 9-7
Logit, Why And When To Use 9-2
Mathematical functions built-into SPSS 2-22
Maximum Likelihood Estimation See MLE
Measurement Error 7-16, 7-
20, 8-23
Merge Files 13-1
Missing values, specifying/defining 1-11
Mis-specification 7-16, 7-
19, 8-11
Mis-specification, Intuitive Explanation 8-1
Mixed chart, combination of
bar/line/area
11-23
MLE 9-1
Moving Average 17-30
Multicollinearity 7-16, 7-
18, 8-3
Multicollinearity, Intuitive Explanation 8-1
Multiple Response Sets, Creating 2-25
Multiple Response Sets, Using For
Custom Tables
2-30 Index

Index -8
Multiple Response Sets, Using For
Frequencies
2-29
Non-Linear Estimation 9-1
Non-Parametric Testing 3-18, 4-
12, 5-23,
5-50, 14-1
Non-Parametric Tests (When To Use) 5-23, 5-50
Non-Stationarity 17-1
Numeric data type 1-6
Observations number, reducing 1-28
Omitted Variable Bias 7-16, 7-
20, 8-22
One Sample T-Test 3-25
One-Way ANOVA 5-46
One-Way Merge 13-8
Options (Default Settings) 15-1
Organizing Output By Groups 10-2
Outliers 3-23, 4-15
Partial Autocorrelation Function 17-16
Partial Correlation 5-27
Partial Plots (To Check For
Heteroskedasticity)
7-10
Pearsons Correlation Coefficient 5-22
P-P 3-13
P-value See Sig
Value
Q-Q 3-13
Randomness (Testing For) See Runs
Test
Read ASCII Data 12-1
Recode, Into New Variable 2-3
Recode, Into Same Variable 2-12
Reducing number of observations 1-29
Regression 7-1, 8-1
Regression, Interpreting Output 7-10
Replace Missing Values, for time series 17-29
Replace Missing Values, general 1-40
RUN SCRIPT 18-3
Runs Test 14-10
Scatter Plots 5-16
Scripts 18-1
Select Cases 1-32
Sequence graphs 17-4
Sig Value, interpreting 3-19, 3-26
Simultaneity Bias 8-18
Sort Cases 1-28
Spearman’s Correlation Coefficeint 5-26
Split File 10-1
Stem And Leaf See
Explore
String data type See Text
Syntax 18-4
SYSMIS, System Missing 2-3
Tab-Delimited ASCII text data 12-2, 12-3
TableLook 11-9, 15-1
Tables Of Frequencies 6-12
Tables(In Database) 16-1
Testing For Normality 3-8, 3-17
Text data type 1-6
Time Series 17-1
Totals (in Tables) 6-3
Transforming, rows into columns in
output
11-5
T-Test (For Regression) 7-11
T-Test for comparing means 3-25, 4-9,
5-42
Two-Way Merge 13-6
Unit Roots 17-10
Univariate analysis 3-1
Use Sets 1-40
User Missing 2-11
Using All Cases 1-34
Value Labels 1-16
Value Labels (Viewing On Data Sheet) 15-4
Value Labels, Viewing In Output 15-1
Variable Label 1-14
Variable Label, Viewing In Output 15-1
Weight Cases 1-19
Weight Estimation 8-9
Weight Estimation, interpretation 8-10
White’s Test (For Heteroskedasticity) 7-21
WLS 8-5 Index

Index -9
WLS, interpretation 8-8
ZPRED 7-9
ZRESID 7-9

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