- published: 26 Feb 2013
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Learn how to recode variables and compute and index variable using SPSS.
Download file: https://people.highline.edu/mgirvin/ExcelIsFun.htm 1. See how to do a three way lookup when there are two row header variables (criteria) and one column header (criteria) variable using INDEX and MATCH functions for a normal two way lookup, but with the two row headers joined to create a single row header criteria. In essence, three way lookup is turned into a standard two way lookup. Also see IFERROR function.
Very often students who have questionnaire data ask me whether they can add together some similar variables to create a new variable that summarizes the meaning of all the questions that go into it, for example if you have a load of questions about the service of an airline, the sum of those questions gives a new variable that may be interpreted as airline satisfaction score. The answers is YES (that new variable is called a score/index), but there are things to watch out for. Keywords: index, composite score, attribute, trait, items, unit weighted scores, weighted scores, reliability, MEAN().
This video describes how to standardize variables (converting variables into z-scores based on a standard normal distribution) and how to create an index score from variables on different scales (3:27). This video includes a brief reminder of how to read the exponential notation sometimes used by R (at 4:30).
Learn how to draw patterns such as a maze or vortex with NCLab Turtle, using for loops and modifying the counting or index variables. Set beginning and ending values for the index, write operations on the index within the body of the for loop. TURTLE CODING COURSE: LEARN PROGRAMMING THROUGH ART The Turtle Coding course is an excellent visual introduction to Python programming. Students create beautiful objects including pendants, mosaics, ornaments, cookie cutters, round containers, vases and even chess figures. Their creations can be printed on 3D printers and cut out of wood or plastic on laser cutters. While writing programs for the Turtle, students become proficient in using variables, loops and functions as well as in Python code syntax, formatting and debugging. The course require...
Determining the efficiency of a number of variables in their ability to measure a single construct. Link to Monte Carlo calculator: http://www.allenandunwin.com/spss4/further_resources.html Download the file titled MonteCarloPA.zip.
Introduction to optimal control within a course on "Optimal and Robust Control" (B3M35ORR, BE3M35ORR) given at Faculty of Electrical Engineering, Czech Technical University in Prague. Motivation for optimal control; formulation of optimal control criterion (aka cost function, performance index); identification of optimization variables (either controller parameters or control signals).
Full lecture: http://bit.ly/D-Tree Which attribute do we select at each step of the ID3 algorithm? The attribute that results in the most pure subsets. We can measure purity of a subset as the entropy (degree of uncertainty) about the class within the subset.
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This is a model fit exercise during a CFA in AMOS. I demonstrate how to build a good looking model, and then I address model fit issues, including modification indices and standardized residual covariances. I also discuss briefly the thresholds for goodness of fit measures. For a reference, you can use: Litze Hu & Peter M. Bentler (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling: A Multidisciplinary Journal, 6:1, 1-55
match and index tutorial. These 2 functions are very often used together in place of vlookup. This example looks up IRS witholding for (1) wages, (2) marital status, and (3) number of deductions. 2 and 3 are combined in a single table (M2, S0, S3, etc.)
Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey
In this video we simplify a radical that contains a variable by changing to exponential form and reducing.
Creacion de index y variables sql http://sistemasparati.blogspot.pe/
Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watc...