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Notes on Exploring Data - Princeton University

Getting Started in R~Stata Notes on Exploring Data (v. ) Oscar Torres-Reyna Fall 2010 Features spss SAS Stata JMP (SAS) R Python (Pandas) Learning curve Gradual Pretty steep Gradual Gradual Pretty steep Steep User interface Point-and-click Programming Programming/point-and-click Point-and-click Programming Programming Data manipulation Strong Very strong Strong Strong Very strong Strong Data analysis Very strong Very strong Very strong Strong Very strong Strong Graphics Good Good Very good Very good Excellent Good Cost Expensive (perpetual, cost only with new version). Student disc. Expensive (yearly renewal) Free student version, 2014 Affordable (perpetual, cost only with new version). Student disc.

SPSS . SAS . Stata . JMP (SAS) R . Python (Pandas) Learning curve Gradual . Pretty steep Gradual . Gradual . Pretty steep Steep . User interface Point-and-click . Programming . Programming/ point-and-click . Point-and-click . Programming Programming Data manipulation Strong . Very strong Strong .

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Getting Started in Data Analysis using Stata

dss.princeton.edu

From SPSS/SAS to Stata Example of a dataset in Excel From Excel to Stata (copy-and-paste, *.csv) Describe and summarize Rename Variable labels Adding value labels Creating new variables (generate) Creating new variables from other variables (generate) Recoding variables (recode) Recoding variables using egen

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Data Preparation/Descriptive Statistics

dss.princeton.edu

extensions are *.txt for tab-separated data and *.prn for space-separated data. Any statistical package can read these formats. •Record form (or fixed). Data is structured by fixed blocks (for example, var1 in columns 1 to 5, var2 in column 6 to 8, etc). You will need a codebook and to write a program (either in Stata, SPSS or SAS) to read ...

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Introduction to RStudio

dss.princeton.edu

The console is where you can type commands and see output The workspace tab shows all the active objects (see next slide). The history tab shows a list of commands used so far. The files tab shows all the files and folders in your default workspace as if you were on

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Multiple Imputation of Missing Data Using Stata

dss.princeton.edu

imputation model should always include all the variables in the analysis model, including the dependent variable of the analytic model as well as any other variables that may provide information about the probability of missigness, or about the true value of the missing data. Theory should guide the decision as to which variables to include.

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Panel Data Analysis Fixed and Random Effects using Stata ...

dss.princeton.edu

PU/DSS/OTR Fixed Effects using least squares dummy variable model (LSDV). 16 _cons 8.81e+08 9.62e+08 0.92 0.363 -1.04e+09 2.80e+09

Linear Regression using Stata - Princeton University

dss.princeton.edu

between X and Y. R-square shows the amount of variance of Y explained by X. In this case expenseexplains 22% of the variance in SAT scores. Lets run the regression: regress . csat expense, robust. Adj R. 2 (not shown here) shows the same as . R. 2. but adjusted by the # of cases and # of variables. When the # of variables is small and the # of ...

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Testing mediation using bootstrapping in SPSS

www.socialchangelab.net

SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 717-731. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New ... This is the part of the syntax that tells SPSS to draw 5000 sample indirect effects (with ...

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Introduction to Mediation, Moderation, and Conditional ...

dm.darden.virginia.edu

passion that even the most 'stat-o-phobic' will become convinced that they too can master SPSS (or SAS) process. The thoughtful use of real-life examples, accompanied by SPSS and SAS syntax and output, makes the book highly accessible.” —Shelley Brown, PhD, Department of Psychology, Carleton University, Canada “A welcome contribution.

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Longitudinal Data Analyses Using Linear Mixed Models in ...

downloads.hindawi.com

SPSS. The general strategy for model building, testing, and comparison are described. Previous studies have illustrated the application of IGC using PROC MIXED in SAS[16,17,18], HLM[19], R[20], and SPSS[21]. Nevertheless, the longitudinal analysis reported in Peugh and Enders[21] was only a simple

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Getting Started in Data Analysis using Stata

dss.princeton.edu

From SPSS/SAS to Stata Example of a dataset in Excel From Excel to Stata (copy-and-paste, *.csv) Describe and summarize Rename Variable labels Adding value labels Creating new variables (generate) Creating new variables from other variables (generate) Recoding variables (recode) Recoding variables using egen

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A Primer for Analyzing Nested Data: Multilevel Modeling in ...

ies.ed.gov

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SPSS mahdollisuuksia voidaan entisestään kasvattaa. SPSS on kenties yleisimmin Suomes-sa ja maailmanlaajuisestikin käytetty tilastollisen analyysin apuväline. Muita kansainväli-sesti käytettyjä tilasto-ohjelmistoja ovat muun muassa SAS ja Stata. Suomalaisia ohjel-

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stat.utexas.edu

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