Working with SPSS. A StepbyStep Guide For Prof PJ s ComS 171 students


 Cody Burns
 2 years ago
 Views:
Transcription
1 Working with SPSS A StepbyStep Guide For Prof PJ s ComS 171 students Contents Prep the Excel file for SPSS... 2 Prep the Excel file for the online survey:... 2 Make a master file... 2 Clean the data in Excel... 3 Set up SPSS file... 4 Get familiar with the SPSS Tabs & Windows... 4 Copy in your Excel data into SPSS s Data worksheet... 4 Set up your variables in SPSS in the Variables worksheet... 4 Print out the SPSS Codebook... 6 Check & Clean Your SPSS File (Run rough tables)... 7 Run SPSS Tables... 9 Run Univariate Statistics (Frequencies and Descriptive Statistics)... 9 Run Bivariate Statistics (Crosstabs) Run Means Comparisons (ANOVAs) Practice files are: Beginning of Semester Survey data (in Excel) and questionnaire Working with SPSS Page 1
2 Prep the Excel file for SPSS MAKE A COPY OF ALL FILES!!!! Work on the copies, not the originals. NOTE: This section is not specific to the sample files on the Beginning of the Semester Survey. It explains the basic techniques as they apply to your survey, with all four data collection methods (online, telephone, intercept selfadministered, and intercept intervieweradministered). Prep the Excel file for the online survey: Change words to numbers using Replace All option. For example: Categories for a question could be: 1 Very Low 2 Low 3 High 4 Very High These words show up instead of the numbers. Highlight (select) the columns you want to make the replacements in. Find & Select > Replace > Find what =Words you want to change; Replace with = the number you want to replace the word with. Click Replace All. Careful: Pay attention to the order you make the replacements! If you don t, you may end up Very 3 if you change High to 3 before you change Very High to 4. Make a master file This file will contain all your data (from all four data collection methods). At the top (the first row), make sure you have your question numbers. Then copy/paste your data from all files in there, keeping note of which ones came from which research method. Careful: Pay attention to the order of the fields! You may have to insert columns or reorganize them to make sure all the fields line up properly. Working with SPSS Page 2
3 Remember, you will add two variables (columns) at the end that will identify data collection method and interviewer. Put that data in now, if you haven t already. Data collection method Interviewer 1) Telephone 1) Martha 2) 2) Jose 3) Intercept Interview 3) Meng 4) Intercept SelfAdministered 4) Tania 5) Dave Add a field for Respondent ID (if you haven t already done it). For any paper surveys (e.g., the intercept surveys or your telephone survey response sheet), make sure you have put a respondent ID on each questionnaire and that respondent ID is in your Excel Data file. Add a field for Case ID (this should be the first column). Number all of them from 1 to 100 (or more, if you happen to have more). This way, if you need to look up data from your original survey stuff, you should be able to narrow down which ones you have to look at. Openendeds/ Other responses: If you have any of these, make sure these are typed in. Clean the data in Excel This is very helpful before you copy the data into SPSS. If you are good at Excel, you might be able to do some preliminary calculations to help in data cleaning. Check your skip patterns. If your instructions were to have a respondent skip a question based upon a previous question, did they really do it? If no, delete out or fix their responses. (You may need to do this in SPSS when you run frequency tables, but it helps if you look at it now.) Be consistent; develop a protocol for handling the data. Consider the following: Determine how you will tell if a field is blank (e.g., skipped question), a Refusal to Answer (they should have answered, but didn t), or a meaningful number like a 0. Suggestion: 99 means Refusal, blank means skipped, 0 means it was a 0 (as in 0 times eating fast food ), etc. If a respondent doesn t answer a question the way you were expecting (e.g., you wanted one response, like 4 and you got a different response, like 47 ), will you take the lower number? The middle number? Etc. Figure this out before you really get into the data; otherwise you could be biased in your decisions. Now that you have data cleaned and prepped, we can now work in SPSS. Working with SPSS Page 3
4 Set up SPSS file This includes copying the Excel data into SPSS, setting up your variables, printing out the SPSS codebook, and cleaning the data. Open the SPSS program (sometimes it takes a minute for SPSS to open up; just be patient). Choose the Type in Data when asked. Get familiar with the SPSS Tabs & Windows There are three tabs or windows you want to know well: Data worksheet (1st tab at the bottom lower left). This is where you will copy all your data. Variables worksheet (2nd tab at the bottom lower left). This is where you tell SPSS what all this data means (for example, the first column carries the data for Case Number, what a 1 in column 2 mean, etc.) Output window. This appears when you run your tables. It will not show up when you first get into SPSS. It opens up as a separate window. Copy in your Excel data into SPSS s Data worksheet This is just a matter of a copy/paste command. In Excel, select (highlight) all the data you want to bring over MINUS the first row (the one that identifies your question numbers). Then go to the first cell in SPSS and paste it. (It may take some time for SPSS to do this; it s not instantaneous ) Once this is done, SAVE the file. (You are likely done now with the Excel file, so you can close it.) Set up your variables in SPSS in the Variables worksheet Click on the Variable tab. Name The name of your variable. I tend to use the question number. It has to start with a letter. Suggestion: Case, Q1, Q1a, etc. Type The variable type is most likely number or string (a string variable is a text response, like an other or a response to an openended question). Working with SPSS Page 4
5 Width and Decimals This identifies how the data will show up in the Data screen. Width refers to number of numbers allowed (for example, 1.00 would be a Width of three, as would be 126). Decimal refers to number of places in the decimal (for example, 1.00 would have a decimal of 2, would be a Decimal of 3). I usually like to keep the Width down, but that usually means playing with the Decimal field. HINT: Change the Decimal field first (make decimals 0 if you are like me and want whole numbers in the file, meaning 1 instead of 1.00), then change the Width to 1 or 2. If you change the Width first, SPSS will chide you because the following field, Decimals, may make the Width inappropriate (you change the width from 8 to 1, but you are identifying 2 in Decimal, which means you need at least 3 in the Width not a problem, but it can get annoying). Labels This is where you identify what the question really is. You could type the entire question wording in, but that gets tiresome. I suggest coming up with a shorthand version. Examples: If the question is about Age, then type Age in the Label field. If the question asks respondents if they would be likely to purchase a particular item, you could type: Likelihood of Purchase If you have a series of questions on likelihood of purchasing a variety of products, maybe you could say: Likelihood of Purchase: Subway on one variable, then on the next one type Likelihood of Purchase: McDonalds, and so on. NOTE: You can copy and paste this section, then just change where necessary (copy Likelihood of Purchase: Subway and, if you have 5 other fast food restaurants you are testing, highlight the next 5 variable labels and paste it. Then go change Subway to McDonalds on the McDonalds question, Subway to InNOut on the InNOut question, etc. Values This is where you identify the response categories for the variable. Remember that you changed the word responses in your datafile (e.g., Yes, and No ) to numbers (1 and 2)? Now you tell SPSS what those numbers mean. Essentially, you are creating a codebook. Click on the box and the Value Labels popup window well pops up. Here you enter the code number (in the Value box), the label (make it short you ll appreciate that later), and click Add, continuing until you have all the labels in. Note that you can correct if you make an error with the Change or Remove options. When you are done, click OK. When you get back into the Variable view, you will only see part of your value labels (response categories). If you click on the variable, a little box with shows up. Clicking on this will bring up the Value Labels popup window again. Missing You will only use this field if you want to exclude some values from the data calculations. You will keep those values in the file, but you will declare them as missing values. Working with SPSS Page 5
6 For example, you have a rating scale of 1 = Poor, 2 = Fair, 3 = Good, 4 = Excellent, 5 = Don t know, and 6 = Refused. If you run means on this, the 5 s and the 6 s will throw off your data. So, you want to exclude those answers from your calculation. Rather than going into the file and deleting them, you declare them missing in this field. As is the case with the values, you click on the field and the Missing Values window pops up. By default, No missing values is selected. In the above example, you have a choice. You can declare 5 and 6 as discrete missing values (you identify each value separately discretely and there are there are three fields you can input here, for a maximum of 3 discrete missing values), or you can delete a range (low of 5 and high of 6). Notice that in the Range option, you can declare an additional missing value (perhaps you want to declare 0 as a discrete missing value, plus a range from 56). Columns This refers to how the data tab will display. You can make the size of the columns 5 characters wide, or whatever you want. It doesn t affect the calculations at all; it just helps you when you look at data on the Data tab. Align Again, this refers to how you will see the data in the Data tab. I tend to just leave it as is. Measure this refers to whether the data should be treated as Scale, Ordinal, or Interval. (You should already know the difference by now.) Just click on the box a dropdown menu shows up. Just select the type of data and you are done here. Role Just ignore this field. Make sure you save everything (and I highly recommend you make a backup copy) before you go onto analyze the data. Print out the SPSS Codebook This will summarize all the work you did setting up the variables. In either tab (the Data View or the Variable View, choose File >Display Data File Information > Working File. It will look like nothing happened. Go to the Output window and you will see two sets of printouts, one on top of the other. The first is Variable Information. It lists the variables and the associated column (position) numbers, and then the labels, level of measurement (and some other stuff we are not really going to use for this class project: Working with SPSS Page 6
7 The second is the Variable Values listing. This identifies what the codes for each variable are. In this example, the Variable Information table lists Q1a as Print books. The Variable Values listing tells you that if there is a 1 in that column, it means Yes, and a 2 in that column means No. These two listings together comprise the SPSS codebook. It may help you later, so print it out. Check & Clean Your SPSS File (Run rough tables) 1. Run frequency counts/percentages for each question. (If you have any openended questions, you might want to skip those in this step. a. From any tab, choose Analyze > Descriptive Statistics > Frequencies from the top menu bar. You will get a popup window where you can select the variables you want to use for your frequency analysis. Working with SPSS Page 7
8 b. Click on the variables in the left box (no need to choose Case) and either drag them over or click the arrow to move them over. If you make a mistake and move something over to the Variable(s) box you didn t want to, click on the variable in the Variable(s) box (right side) and the arrow between the two boxes will reverse, allowing you to click it and remove the variable from the Variable(s) box. Click the OK button and you should get something that looks like this: You can see that, in this example, 49 people responded to each of the two variables (Q1a Print books and Q1b Newspaper). For the table on Print books, you can see how those 49 people responded. 28 of them (or 57.1%) said yes and 21 of them (or 42.9%) said no. 2. Review the frequency tables for errors. Look for outliers (in the previous example, if you have a Yes, No, and 8 show up as the answers you know that there were no category 8 responses to this question! This must be an error!). If you find errors like these, you need to figure out what happened and fix them. These types of errors may be due to the following: You copied/pasted/keyed data into incorrect fields. Perhaps there was a field you accidently skipped (hit Tab too many times), throwing off the subsequent data points. You had a data entry error (your fingers were on the wrong keys, etc.). You forgot to add a field when you tried to match up the online, telephone, facetoface selfadministered, and facetoface interview administered data. The respondent answered the question incorrectly. Do NOT make the change on any original data files! You want to keep these files pure, just in case you need to start over from scratch. Look for obvious typos. Maybe you copied the wrong labels over. Or you forgot to type in the labels. You can fix these right on the SPSS file. Check for branching errors. Say your questionnaire looked something like this: 1. Do you read ebooks? 01) Yes 02) No Working with SPSS Page 8
9 2. What devices have you used for reading ebooks? a. Smartphone 1) Yes 2) No b. Tablet 1) Yes 2) No c. Kindle 1) Yes 2) No d. Computer 1) Yes 2) No e. Other 1) Yes 2) No Obviously, those respondents who said No on the first question(q1) should not be answering the next set of questions (Q2a2e), so they should branch or skip around that set of questions. So, you run a set of frequencies on Q1, Q2a, Q2b, Q2c, Q2d, and Q2e. Pay attention to the number of respondents who answered 2 (No) on Q1. If 40 respondents said 2 on Q1, and your branching is correct, then you should see the number 40 show up as System Missing on each of Q2a, Q2b, Q2c, Q2d, and Q2e. If you see 39, then one person who said No on Q1 answered the Q2 series. Time to find them! Regardless of how the error(s) occurred,, you now need to fix the error(s). Make the change in both your copy of the Excel file and the SPSS file. Run SPSS Tables Now it s time to run tables: Univariate statistics include frequencies and means (also called descriptive statistics ). Bivariate statistics include crosstabulation and means comparisons (ANOVAs). Run Univariate Statistics (Frequencies and Descriptive Statistics) Think about what kind of data you have and what type of data analysis would work for each question. Frequency counts and percentages are appropriate for questions gathering categorical data. You want to know what percentage of respondents said X. You may also want to run frequencies on some ordinal or scale questions. Descriptive Statistics (means, medians, modes) work for questions gathering ordinal and scale/ratio level data. For example, you ask people if they ve read any traditional print books for pleasure reading in the last month. You will want to run a frequency analysis on this question because you will want to report the percentage who read ebooks and the percentage who do not. The resulting table may show that, of the 49 respondents, 57.1% of them reported reading print books and 42.9% did not. Working with SPSS Page 9
10 You could ask another question as a scale (gathering ordinal or interval level data), such as: How would you rate your driving in comparison to others? You can run a frequency on this because you want to know the exact percentage who gave each response. (How interesting is it to see that over half of the respondents 36.7% % = 65.3% considered themselves to be better than average drivers a mathematical impossibility!) On this same driving question, you will likely want to run descriptive statistics (in particular, you probably want to know the mean). This type of analysis would show the following: 1. Running Frequency Tables: You already know how to run a frequency table because you did it earlier when you were checking to see if you had clean data. But, to refresh your memory: Analyze > Descriptive Statistics > Frequencies (the rest will come to you). 2. Running Descriptives (Means, Medians, Modes, Standard Deviation): In the example we are using, the following questions (the Q5 series) would be appropriate to run descriptive statistics: 5. How would you compare yourself to the average person in the following areas? Much worse Worse Average Better Much Better a. Driving b. Healthy eating c. Exercise habits d. Frequency of washing hands e. Frequency of brushing teeth f. Frequency of flossing teeth g. Math skills h. Vocabulary skills i. Awareness of current events j. Not procrastinating k. Paying bills on time l. Managing credit card debt m. Fear of speaking in public n. Work ethic o. Study ethic (as compared to other students) This is very similar to running Frequency tables. Working with SPSS Page 10
11 a. From any tab, choose Analyze > Descriptive Statistics > Descriptives from the top menu bar. Just as you did in running frequencies, you will get a popup window where you can select the variables you want to use for this statistical analysis. b. Select the variables you want to run means on. In this example, we will choose the Q5 series (assessment of skills in comparison with the average person). Now, there are other things you can do in options (like identify the order that you want the variables to display do you want the highest mean to show up at the top of the list?), but we won t go into that now. Working with SPSS Page 11
12 Run Bivariate Statistics (Crosstabs) Now you want to know whether relationships exist between variables. For example, are males more likely to eat meals in the car than females? Remember the null and alternative hypotheses? You are essentially testing the null hypothesis that there are no differences in the answers to this question based upon a respondent s sex. There is one main alternative hypothesis: There is a difference in frequency of eating in the car based upon a respondent s sex. Even though there is not likely to be a cause and effect relationship between the two variables (being male is not likely to cause a person to eat in the car), you might want to think about the two variables this way. Is it more likely that eating in the car influences a person s sex? Or that a person s sex might influence their likelihood of eating in the car? Probably the latter. 1. Identify the Independent and Dependent variables. There are two questions (variables) involved in our example: 3. How often do you eat meals in the car? 01) Never 02) Seldom 03) Occasionally 04) Frequently 05) Always and 9. What is your sex? 01) Male 02) Female So, the frequency of eating in the car variable (Q3) is dependent on the respondent s sex variable (Q9). Therefore, Q3 (Frequency of Eating in Car) would be the dependent variable and Q9 (sex) would be the independent variable. 2. Run the Crosstabulation Analysis: a. From any tab, choose Analyze > Descriptive Statistics > Crosstabs from the top menu bar. You will get a popup window asking you to identify rows and columns: b. To make it easy on yourself, put the independent variable (Q9Sex) in the Row(s) box and the dependent variable (Q3Frequency of eating in car) in the Column(s) box. c. Now you have to select which crosstabulation Working with SPSS Page 12
13 statistic(s) you want. So, click the Statistics button in the upper right corner. You typically want to run chisquare to determine if any significant differences exist. If they do, then you will want to know the strength of association (how strong is the correlation between the two variables?). For nominal variables, you should choose either Contingency coefficient and/or Phi and Cramer s V. You can certainly select the Chisquare statistic, but if you choose either of the other two tests, it will automatically calculate Chi Square. Click Continue and you ll be back to the original Crosstabs popup window. d. One more thing: Click on the Cells button and make sure Observed is checked in Counts. Then check the Rows box in Percentages. Click Continue, then (in the original Crosstabs popup window, click OK. e. Read & understand the resulting table: 23.8% of males said they never eat in the car, versus 10.7% of females. Look at the Frequently column: No men said they frequently eat in the car, but 25.0% of females did. Working with SPSS Page 13
14 Notice that the percentages in a row add across to the 100% in the total column ( = 100%). That tells you that you compare between rows: While 38.1% of males said they seldom eat in the car, that compares to 25.0% of women. Now look at the Symmetric Measures table. The number that appears in the Approx. Sig. column is the Chisquare. For any differences that you are observing to be considered statistically significant (causing you to reject the null hypothesis), the ChiSquare needs to be less than.05 (using the 95% confidence level). This table shows a ChiSquare at.066 greater than.05, meaning that any differences we observe on the table are likely due to chance or sampling error. If the Chisquare statistic was less than.05, you would look next at the Phi, Cramer s V, and Contingency coefficient statistics. These range from 0.00 (no correlation) to 1.00 (perfect correlation). These help you determine, IF THE CHISQUARE IS GREATER THAN.05, how strong the correlation is between the two variables. Run Means Comparisons (ANOVAs) Say you want to know whether males are more likely to perceive themselves as better drivers than females. You ve already run a mean on the overall population earlier, but you don t know a) if there is a difference in the means based upon sex, or b) if there is a difference, if it is statistically significant. Remember the null and alternative hypothesis? You are essentially testing the null hypothesis that there are no differences in the answers to this question based upon a respondent s sex. There are two alternative hypotheses: That males are more likely to assess their driving skills higher than females, or that females are more likely to assess their driving skills higher than males. 1. Identify the Independent and Dependent variables. There are two questions (variables) involved in our example: 5. How would you compare yourself to the average person in the following areas? Much worse Worse Average Better Much Better a. Driving and 9. What is your sex? 01) Male 02) Female Even though there is not likely to be a cause and effect relationship between the two variables (being male is not likely to cause a perception of being a better than average driver), you might want to think about the two variables this way. Is it more likely that the perception of driving influences a person s sex? Or that a person s sex might influence their perception of driving? Probably the latter. Working with SPSS Page 14
15 So, the perception of driving variable is dependent on the respondent s sex variable. Therefore, Q5a (Perception of Driving) would be the dependent variable and Q9 (sex) would be the independent variable. 2. Run the Mean comparisons: a. From any tab, choose Analyze > Compare Means > Means from the top menu bar. You will get a popup window where you can select the variables you want to use for this statistical analysis. Note: You can run multiple means comparisons at the same time, as long as you keep in mind what the Independent Variable(s) is/are. Select the dependent variable(s) and move them to (guess where?) the Dependent List box. Then select the independent variable(s) and move it/them to the (another guess?) Independent List box. b. Now click the Options button in the upper right corner. The next popup window you will get has three cell statistics already selected for you: Mean, Number of Cases, and Standard Deviation. You need to also select Anova table and eta in the Statistics for First Layer box. That will help you determine if the means you see are statistically significant. Click Continue, then OK on the first popup window. You will get a series of tables: Case Processing Summary (you can probably ignore this), Report, and ANOVA Table. The Report table is the first one you look at. Working with SPSS Page 15
16 It displays lots of interesting data: For the 21 males for whom we have data, the mean is 4.24 (on a 5point scale; remember, the higher the mean, the higher the assessment of a person s driving ability in relation to the average person). Standard deviation is.768. For the 28 females, the mean was 3.61 (standard deviation is.956). Overall, the mean for all 49 respondents who answered the question was 3.88 (standard deviation of.927). So we know that our survey discovered a difference in the answers on this question based upon sex, but is that difference statistically significant or could it be due to chance or sampling error? That s where the next table comes into play: ANOVA Table. There are a lot of numbers in this table, but the one we want is in the Sig. column. In most cases we set the acceptable confidence level at 95%, meaning we are looking for a p<0.05. Compare the number in the Sig. column with If it is lower than 0.05, then we conclude that any differences we observe are statistically significant. If it is greater than or equal to.05, then we reject the alternative hypothesis that there is a difference in the answers to this question based on sex and accept the null hypothesis (that there are no differences in answers based upon a respondent s sex). So, what do we find? Sig. (in this example) is.017, which is less than Therefore, our data support the alternative hypothesis that males tend to assess their driving skills higher than females do. 3. If you have at least three levels in the independent variable, run ANOVA tables independently, using Tukey as Post Hoc. This is basically the same as you did above with the means comparison, but runs a more stringent test and works for independent variables with more than two levels. For example, there are only two levels (response categories) in the sex variable (male and female). Working with SPSS Page 16
17 Just for this example, we will run assessment of driving as the dependent variable by concern with likelihood of succeeding in this class (independent variable, or factor ). (Okay, this relationship doesn t make sense to me, either, but I needed an example with more than two levels.) 11. How concerned are you with your likelihood of succeeding in this class. Use a 15 scale, 1 meaning you are NOT at all concerned and 5 meaning you are VERY concerned. a. From any tab, choose Analyze > Compare Means > ANOVA from the top menu bar. You will get a popup window where you can select the variables you want to use for this statistical analysis. Again, same routine, only instead of the bottom box being called Independent List, it s called Factor. Now choose Post Hoc (the middle button on the right), and click Tukey in the next popup window. (Note that you can change the Significance level in the bottom; the default is 0.05.) Click OK and then you are back to the OneWay ANOVA popup. Now choose Options, then check Descriptives, then click Continue. Now you are back to the OneWay ANOVA popup window. Click OK. You get a couple of tables similar to what you got above (but with a few more statistics): Not surprisingly, the Sig. of.368 is greater than 0.05, so we know that any differences we observe are likely due to chance or sampling error, meaning we accept the null hypothesis that there is no difference in responses to the driving question based upon concern for success in this class. Working with SPSS Page 17
18 NOTE: Even though the table says that those who are very concerned about success in this class had a higher mean (4.10) than those who are not at all concerned (3.00), we have to conclude that this difference is not significant. IF THERE WERE significant differences, you should be wondering where the statistically significant differences are? For example, is the very concerned mean statistically significant from the concerned mean? Or from the not at all concerned mean? That s when you consult the next table, Post Hoc tests (using Tukey): Check the Sig. column to see if any are less than The first row compares the means for Not at all concerned on the variable of driving against all the other levels in the independent variable (shown in the second column). Surprise! Just as we suspected, no significant differences!s Working with SPSS Page 18
January 26, 2009 The Faculty Center for Teaching and Learning
THE BASICS OF DATA MANAGEMENT AND ANALYSIS A USER GUIDE January 26, 2009 The Faculty Center for Teaching and Learning THE BASICS OF DATA MANAGEMENT AND ANALYSIS Table of Contents Table of Contents... i
More informationIBM SPSS Statistics for Beginners for Windows
ISS, NEWCASTLE UNIVERSITY IBM SPSS Statistics for Beginners for Windows A Training Manual for Beginners Dr. S. T. Kometa A Training Manual for Beginners Contents 1 Aims and Objectives... 3 1.1 Learning
More informationThe Dummy s Guide to Data Analysis Using SPSS
The Dummy s Guide to Data Analysis Using SPSS Mathematics 57 Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved TABLE OF CONTENTS PAGE Helpful Hints for All Tests...1 Tests
More informationSPSS (Statistical Package for the Social Sciences)
SPSS (Statistical Package for the Social Sciences) What is SPSS? SPSS stands for Statistical Package for the Social Sciences The SPSS homepage is: www.spss.com 2 What can you do with SPSS? Run Frequencies
More informationInstructions for applying data validation(s) to data fields in Microsoft Excel
1 of 10 Instructions for applying data validation(s) to data fields in Microsoft Excel According to Microsoft Excel, a data validation is used to control the type of data or the values that users enter
More informationUsing Microsoft Excel to Manage and Analyze Data: Some Tips
Using Microsoft Excel to Manage and Analyze Data: Some Tips Larger, complex data management may require specialized and/or customized database software, and larger or more complex analyses may require
More informationIBM SPSS Statistics 20 Part 1: Descriptive Statistics
CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 1: Descriptive Statistics Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the
More informationSPSS Workbook 1 Data Entry : Questionnaire Data
TEESSIDE UNIVERSITY SCHOOL OF HEALTH & SOCIAL CARE SPSS Workbook 1 Data Entry : Questionnaire Data Prepared by: Sylvia Storey s.storey@tees.ac.uk SPSS data entry 1 This workbook is designed to introduce
More informationData Analysis Tools. Tools for Summarizing Data
Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool
More information4. Descriptive Statistics: Measures of Variability and Central Tendency
4. Descriptive Statistics: Measures of Variability and Central Tendency Objectives Calculate descriptive for continuous and categorical data Edit output tables Although measures of central tendency and
More informationExcel Charts & Graphs
MAX 201 Spring 2008 Assignment #6: Charts & Graphs; Modifying Data Due at the beginning of class on March 18 th Introduction This assignment introduces the charting and graphing capabilities of SPSS and
More informationUsing SPSS, Chapter 2: Descriptive Statistics
1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,
More informationHow to Use a Data Spreadsheet: Excel
How to Use a Data Spreadsheet: Excel One does not necessarily have special statistical software to perform statistical analyses. Microsoft Office Excel can be used to run statistical procedures. Although
More informationUsing Excel for Analyzing Survey Questionnaires Jennifer Leahy
University of WisconsinExtension Cooperative Extension Madison, Wisconsin PD &E Program Development & Evaluation Using Excel for Analyzing Survey Questionnaires Jennifer Leahy G365814 Introduction You
More informationAn introduction to IBM SPSS Statistics
An introduction to IBM SPSS Statistics Contents 1 Introduction... 1 2 Entering your data... 2 3 Preparing your data for analysis... 10 4 Exploring your data: univariate analysis... 14 5 Generating descriptive
More informationWhen to use Excel. When NOT to use Excel 9/24/2014
Analyzing Quantitative Assessment Data with Excel October 2, 2014 Jeremy Penn, Ph.D. Director When to use Excel You want to quickly summarize or analyze your assessment data You want to create basic visual
More informationAn introduction to using Microsoft Excel for quantitative data analysis
Contents An introduction to using Microsoft Excel for quantitative data analysis 1 Introduction... 1 2 Why use Excel?... 2 3 Quantitative data analysis tools in Excel... 3 4 Entering your data... 6 5 Preparing
More informationChapter 4 Displaying and Describing Categorical Data
Chapter 4 Displaying and Describing Categorical Data Chapter Goals Learning Objectives This chapter presents three basic techniques for summarizing categorical data. After completing this chapter you should
More informationBill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1 Calculate counts, means, and standard deviations Produce
More informationUsing SPSS 20: Handout 2. Descriptive statistics:
Research Skills One: Using SPSS 20, Handout 2: Descriptive Statistics: Page 1: Using SPSS 20: Handout 2. Descriptive statistics: An essential preliminary to any statistical analysis is to obtain some descriptive
More informationData entry and analysis Evaluation resources from Wilder Research
Wilder Research Data entry and analysis Evaluation resources from Wilder Research General instructions Preparation for data entry Data entry is often thought of as a timeconsuming process, but there are
More informationDirections for using SPSS
Directions for using SPSS Table of Contents Connecting and Working with Files 1. Accessing SPSS... 2 2. Transferring Files to N:\drive or your computer... 3 3. Importing Data from Another File Format...
More informationDrawing a histogram using Excel
Drawing a histogram using Excel STEP 1: Examine the data to decide how many class intervals you need and what the class boundaries should be. (In an assignment you may be told what class boundaries to
More informationAdvanced Excel 10/20/2011 1
Advanced Excel Data Validation Excel has a feature called Data Validation, which will allow you to control what kind of information is typed into cells. 1. Select the cell(s) you wish to control. 2. Click
More informationHealth Indicators Advancing Healthy Aging in Your Community. Database Instructions for Managers
Health Indicators Advancing Healthy Aging in Your Community Database Instructions for Managers Getting to the Database Website You can access the Health Indicators online database in two different ways.
More informationModule 9: Nonparametric Tests. The Applied Research Center
Module 9: Nonparametric Tests The Applied Research Center Module 9 Overview } Nonparametric Tests } Parametric vs. Nonparametric Tests } Restrictions of Nonparametric Tests } OneSample ChiSquare Test
More informationWhat to do now that you have your completed surveys??
What to do now that you have your completed surveys?? 1. Provide each survey a unique identification number. Put a number on the top of each survey This makes it easy to find a survey at any time during
More informationData exploration with Microsoft Excel: analysing more than one variable
Data exploration with Microsoft Excel: analysing more than one variable Contents 1 Introduction... 1 2 Comparing different groups or different variables... 2 3 Exploring the association between categorical
More informationA Quick Guide to Constructing an SPSS Code Book Prepared by Amina Jabbar, Centre for Research on Inner City Health
A Quick Guide to Constructing an SPSS Code Book Prepared by Amina Jabbar, Centre for Research on Inner City Health 1. To begin, double click on SPSS icon. The icon will probably look something like this
More informationSupplementary Materials for Chapter 15  Analysing Data
Supplementary Materials for Chapter 15  Introduction Analysing Data This resource supplements the discussions in Chapter 15 of the book  Analysing Data (pp. 291293) under the heading Analysis of Quantitative
More informationMicrosoft Excel 2007 Consolidate Data & Analyze with Pivot Table Windows XP
Microsoft Excel 2007 Consolidate Data & Analyze with Pivot Table Windows XP Consolidate Data in Multiple Worksheets Example data is saved under Consolidation.xlsx workbook under ProductA through ProductD
More informationUsing Excel as a Management Reporting Tool with your Minotaur Data. Exercise 1 Customer Item Profitability Reporting Tool for Management
Using Excel as a Management Reporting Tool with your Minotaur Data with Judith Kirkness These instruction sheets will help you learn: 1. How to export reports from Minotaur to Excel (these instructions
More informationEXCEL PIVOT TABLE David Geffen School of Medicine, UCLA Dean s Office Oct 2002
EXCEL PIVOT TABLE David Geffen School of Medicine, UCLA Dean s Office Oct 2002 Table of Contents Part I Creating a Pivot Table Excel Database......3 What is a Pivot Table...... 3 Creating Pivot Tables
More informationAMS 7L LAB #2 Spring, 2009. Exploratory Data Analysis
AMS 7L LAB #2 Spring, 2009 Exploratory Data Analysis Name: Lab Section: Instructions: The TAs/lab assistants are available to help you if you have any questions about this lab exercise. If you have any
More informationMonthly Payroll to Finance Reconciliation Report: Access and Instructions
Monthly Payroll to Finance Reconciliation Report: Access and Instructions VCU Reporting Center... 2 Log in... 2 Open Folder... 3 Other Useful Information: Copying Sheets... 5 Creating Subtotals... 5 Outlining
More informationA Basic Guide to Analyzing Individual Scores Data with SPSS
A Basic Guide to Analyzing Individual Scores Data with SPSS Step 1. Clean the data file Open the Excel file with your data. You may get the following message: If you get this message, click yes. Delete
More informationMicrosoft Access Basics
Microsoft Access Basics 2006 ipic Development Group, LLC Authored by James D Ballotti Microsoft, Access, Excel, Word, and Office are registered trademarks of the Microsoft Corporation Version 1  Revision
More informationHow to Make the Most of Excel Spreadsheets
How to Make the Most of Excel Spreadsheets Analyzing data is often easier when it s in an Excel spreadsheet rather than a PDF for example, you can filter to view just a particular grade, sort to view which
More informationChapter 5 Analysis of variance SPSS Analysis of variance
Chapter 5 Analysis of variance SPSS Analysis of variance Data file used: gss.sav How to get there: Analyze Compare Means Oneway ANOVA To test the null hypothesis that several population means are equal,
More informationIntroduction to SPSS (version 16) for Windows
Introduction to SPSS (version 16) for Windows Practical workbook Aims and Learning Objectives By the end of this course you will be able to: get data ready for SPSS create and run SPSS programs to do simple
More informationAnalysis of categorical data: Course quiz instructions for SPSS
Analysis of categorical data: Course quiz instructions for SPSS The dataset Please download the Online sales dataset from the Download pod in the Course quiz resources screen. The filename is smr_bus_acd_clo_quiz_online_250.xls.
More information11. Chi Square. Go to Data/Weight Cases and select Freq as the weights. Select Analyze/Nonparametric Tests/Chi Square.
11. Chi Square Objectives Calculate goodness of fit Chi Square Calculate Chi Square for contingency tables Calculate effect size Save data entry time by weighting cases A Chi Square is used to analyze
More informationChapter 2 Introduction to SPSS
Chapter 2 Introduction to SPSS Abstract This chapter introduces several basic SPSS procedures that are used in the analysis of a data set. The chapter explains the structure of SPSS data files, how to
More informationSPSS Resources. 1. See website (readings) for SPSS tutorial & Stats handout
Analyzing Data SPSS Resources 1. See website (readings) for SPSS tutorial & Stats handout Don t have your own copy of SPSS? 1. Use the libraries to analyze your data 2. Download a trial version of SPSS
More informationChapter 6: t test for dependent samples
Chapter 6: t test for dependent samples ****This chapter corresponds to chapter 11 of your book ( t(ea) for Two (Again) ). What it is: The t test for dependent samples is used to determine whether the
More informationKSTAT MINIMANUAL. Decision Sciences 434 Kellogg Graduate School of Management
KSTAT MINIMANUAL Decision Sciences 434 Kellogg Graduate School of Management Kstat is a set of macros added to Excel and it will enable you to do the statistics required for this course very easily. To
More informationHow to make a line graph using Excel 2007
How to make a line graph using Excel 2007 Format your data sheet Make sure you have a title and each column of data has a title. If you are entering data by hand, use time or the independent variable in
More informationCREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS
CREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS An Excel Pivot Table is an interactive table that summarizes large amounts of data. It allows the user to view and manipulate
More informationData exploration with Microsoft Excel: univariate analysis
Data exploration with Microsoft Excel: univariate analysis Contents 1 Introduction... 1 2 Exploring a variable s frequency distribution... 2 3 Calculating measures of central tendency... 16 4 Calculating
More informationPrepare your result file for input into SPSS
Prepare your result file for input into SPSS Isabelle Darcy When you use DMDX for your experiment, you get an.azk file, which is a simple text file that collects all the reaction times and accuracy of
More informationIBM SPSS Statistics 20 Part 4: ChiSquare and ANOVA
CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES IBM SPSS Statistics 20 Part 4: ChiSquare and ANOVA Summer 2013, Version 2.0 Table of Contents Introduction...2 Downloading the
More informationACADEMIC TECHNOLOGY SUPPORT
ACADEMIC TECHNOLOGY SUPPORT Microsoft Excel: Tables & Pivot Tables ats@etsu.edu 4398611 www.etsu.edu/ats Table of Contents: Overview... 1 Objectives... 1 1. What is an Excel Table?... 2 2. Creating Pivot
More informationSPSS Explore procedure
SPSS Explore procedure One useful function in SPSS is the Explore procedure, which will produce histograms, boxplots, stemandleaf plots and extensive descriptive statistics. To run the Explore procedure,
More informationSPSS Manual for Introductory Applied Statistics: A Variable Approach
SPSS Manual for Introductory Applied Statistics: A Variable Approach John Gabrosek Department of Statistics Grand Valley State University Allendale, MI USA August 2013 2 Copyright 2013 John Gabrosek. All
More informationBasic Pivot Tables. To begin your pivot table, choose Data, Pivot Table and Pivot Chart Report. 1 of 18
Basic Pivot Tables Pivot tables summarize data in a quick and easy way. In your job, you could use pivot tables to summarize actual expenses by fund type by object or total amounts. Make sure you do not
More informationA Guide to Using Excel in Physics Lab
A Guide to Using Excel in Physics Lab Excel has the potential to be a very useful program that will save you lots of time. Excel is especially useful for making repetitious calculations on large data sets.
More informationData Entry Guidelines for the Logistics Indicators Assessment Tool (LIAT)
Data Entry Guidelines for the Logistics Indicators Assessment Tool (LIAT) MARCH 2011 This publication was produced for review by the U.S. Agency for International Development. It was prepared by the USAID
More informationSPSS for Simple Analysis
STC: SPSS for Simple Analysis1 SPSS for Simple Analysis STC: SPSS for Simple Analysis2 Background Information IBM SPSS Statistics is a software package used for statistical analysis, data management, and
More informationSPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav)
Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Organize and Display One Quantitative Variable (Descriptive Statistics, Boxplot & Histogram) 1. Move the mouse pointer
More informationMicrosoft Access 3: Understanding and Creating Queries
Microsoft Access 3: Understanding and Creating Queries In Access Level 2, we learned how to perform basic data retrievals by using Search & Replace functions and Sort & Filter functions. For more complex
More informationA Guide for a Selection of SPSS Functions
A Guide for a Selection of SPSS Functions IBM SPSS Statistics 19 Compiled by Beth Gaedy, Math Specialist, Viterbo University  2012 Using documents prepared by Drs. Sheldon Lee, Marcus Saegrove, Jennifer
More informationAn SPSS companion book. Basic Practice of Statistics
An SPSS companion book to Basic Practice of Statistics SPSS is owned by IBM. 6 th Edition. Basic Practice of Statistics 6 th Edition by David S. Moore, William I. Notz, Michael A. Flinger. Published by
More informationPsyc 250 Statistics & Experimental Design. Correlation Exercise
Psyc 250 Statistics & Experimental Design Correlation Exercise Preparation: Log onto Woodle and download the Class Data February 09 dataset and the associated Syntax to create scale scores Class Syntax
More informationIntroduction Course in SPSS  Evening 1
ETH Zürich Seminar für Statistik Introduction Course in SPSS  Evening 1 Seminar für Statistik, ETH Zürich All data used during the course can be downloaded from the following ftp server: ftp://stat.ethz.ch/u/sfs/spsskurs/
More informationIntroduction to SPSS 16.0
Introduction to SPSS 16.0 Edited by Emily Blumenthal Center for Social Science Computation and Research 110 Savery Hall University of Washington Seattle, WA 98195 USA (206) 5438110 November 2010 http://julius.csscr.washington.edu/pdf/spss.pdf
More informationSPSS: Expected frequencies, chisquared test. Indepth example: Age groups and radio choices. Dealing with small frequencies.
SPSS: Expected frequencies, chisquared test. Indepth example: Age groups and radio choices. Dealing with small frequencies. Quick Example: Handedness and Careers Last time we tested whether one nominal
More informationSection 9 StepbyStep Guide to Data Analysis & Presentation Try it You Won t Believe How Easy It Can Be (With a Little Effort)
Section 9 StepbyStep Guide to Data Analysis & Presentation Try it You Won t Believe How Easy It Can Be (With a Little Effort) Sample Spreadsheet Importing the Spreadsheet Into a Statistical Program Analyzing
More informationUsing Excel to find Perimeter, Area & Volume
Using Excel to find Perimeter, Area & Volume Level: LBS 4 V = lwh Goal: To become familiar with Microsoft Excel by entering formulas into a spreadsheet in order to calculate the perimeter, area and volume
More informationCal Answers Analysis Training Part I. Creating Analyses in OBIEE
Cal Answers Analysis Training Part I Creating Analyses in OBIEE University of California, Berkeley March 2012 Table of Contents Table of Contents... 1 Overview... 2 Getting Around OBIEE... 2 Cal Answers
More informationMigration Manager v6. User Guide. Version 1.0.5.0
Migration Manager v6 User Guide Version 1.0.5.0 Revision 1. February 2013 Content Introduction... 3 Requirements... 3 Installation and license... 4 Basic Imports... 4 Workspace... 4 1. Menu... 4 2. Explorer...
More informationSTEP TWO: Highlight the data set, then select DATA PIVOT TABLE
STEP ONE: Enter the data into a database format, with the first row being the variable names, and each row thereafter being one completed survey. For this tutorial, highlight this table, copy and paste
More informationUsing Excel in Research. Hui Bian Office for Faculty Excellence
Using Excel in Research Hui Bian Office for Faculty Excellence Data entry in Excel Directly type information into the cells Enter data using Form Command: File > Options 2 Data entry in Excel Tool bar:
More informationCHAPTER 11 CHISQUARE: NONPARAMETRIC COMPARISONS OF FREQUENCY
CHAPTER 11 CHISQUARE: NONPARAMETRIC COMPARISONS OF FREQUENCY The hypothesis testing statistics detailed thus far in this text have all been designed to allow comparison of the means of two or more samples
More informationExcel Integrated Reporting
Excel Integrated Reporting Copyright statement Sage (UK) Limited, 2012. All rights reserved We have written this guide to help you to use the software it relates to. We hope it will be read by and helpful
More informationStatistical Analysis Using SPSS for Windows Getting Started (Ver. 2014/11/6) The numbers of figures in the SPSS_screenshot.pptx are shown in red.
Statistical Analysis Using SPSS for Windows Getting Started (Ver. 2014/11/6) The numbers of figures in the SPSS_screenshot.pptx are shown in red. 1. How to display English messages from IBM SPSS Statistics
More informationGetting Started with Excel 2008. Table of Contents
Table of Contents Elements of An Excel Document... 2 Resizing and Hiding Columns and Rows... 3 Using Panes to Create Spreadsheet Headers... 3 Using the AutoFill Command... 4 Using AutoFill for Sequences...
More informationMain Effects and Interactions
Main Effects & Interactions page 1 Main Effects and Interactions So far, we ve talked about studies in which there is just one independent variable, such as violence of television program. You might randomly
More informationTime Billing. Chapter 1: Time Billing Activities Overview 563. Chapter 2: Creating activities 569. Chapter 3: Changing activities 574
Table of Contents Chapter 1: Time Billing Activities Overview 563 Creating activities 563 Changing activities 566 Removing or inactivating activities 567 Chapter 2: Creating activities 569 Step 1: Create
More information0 Introduction to Data Analysis Using an Excel Spreadsheet
Experiment 0 Introduction to Data Analysis Using an Excel Spreadsheet I. Purpose The purpose of this introductory lab is to teach you a few basic things about how to use an EXCEL 2010 spreadsheet to do
More informationIntroduction to SPSS. BEFORE YOU BEGIN, PLEASE ENSURE YOU HAVE DOWNLOADED THE SAMPLE DATA FILE USED IN THIS GUIDE: SPSSsampledata.
Introduction to SPSS This document will guide you through a general introduction to the SPSS interface as well as some of the basic functions and commands you would be likely to perform in SPSS. BEFORE
More informationAn Introduction to SPSS. Workshop Session conducted by: Dr. Cyndi Garvan GraceAnne Jackman
An Introduction to SPSS Workshop Session conducted by: Dr. Cyndi Garvan GraceAnne Jackman Topics to be Covered Starting and Entering SPSS Main Features of SPSS Entering and Saving Data in SPSS Importing
More informationThe ChiSquare Test. STAT E50 Introduction to Statistics
STAT 50 Introduction to Statistics The ChiSquare Test The Chisquare test is a nonparametric test that is used to compare experimental results with theoretical models. That is, we will be comparing observed
More informationIntellect Platform  The Workflow Engine Basic HelpDesk Troubleticket System  A102
Intellect Platform  The Workflow Engine Basic HelpDesk Troubleticket System  A102 Interneer, Inc. Updated on 2/22/2012 Created by Erika Keresztyen Fahey 2 Workflow  A102  Basic HelpDesk Ticketing System
More informationUsing Excel for Statistics Tips and Warnings
Using Excel for Statistics Tips and Warnings November 2000 University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID Contents 1. Introduction 3 1.1 Data Entry and
More informationOur goal, as journalists, is to look for some patterns and trends in this information.
Microsoft Excel: MLB Payrolls exercise This is a beginner exercise for learning some of the most commonly used formulas and functions in Excel. It uses an Excel spreadsheet called MLB Payrolls 2009_2011
More informationSo you want to create an Email a Friend action
So you want to create an Email a Friend action This help file will take you through all the steps on how to create a simple and effective email a friend action. It doesn t cover the advanced features;
More informationACCESS 2007. Importing and Exporting Data Files. Information Technology. MS Access 2007 Users Guide. IT Training & Development (818) 6771700
Information Technology MS Access 2007 Users Guide ACCESS 2007 Importing and Exporting Data Files IT Training & Development (818) 6771700 training@csun.edu TABLE OF CONTENTS Introduction... 1 Import Excel
More informationAssociation Between Variables
Contents 11 Association Between Variables 767 11.1 Introduction............................ 767 11.1.1 Measure of Association................. 768 11.1.2 Chapter Summary.................... 769 11.2 Chi
More informationMicrosoft Excel Tutorial
Microsoft Excel Tutorial by Dr. James E. Parks Department of Physics and Astronomy 401 Nielsen Physics Building The University of Tennessee Knoxville, Tennessee 379961200 Copyright August, 2000 by James
More informationCreating A Grade Sheet With Microsoft Excel
Creating A Grade Sheet With Microsoft Excel Microsoft Excel serves as an excellent tool for tracking grades in your course. But its power is not limited to its ability to organize information in rows and
More informationREUTERS/TIM WIMBORNE SCHOLARONE MANUSCRIPTS COGNOS REPORTS
REUTERS/TIM WIMBORNE SCHOLARONE MANUSCRIPTS COGNOS REPORTS 28APRIL2015 TABLE OF CONTENTS Select an item in the table of contents to go to that topic in the document. USE GET HELP NOW & FAQS... 1 SYSTEM
More informationCreating and Using Databases with Microsoft Access
CHAPTER A Creating and Using Databases with Microsoft Access In this chapter, you will Use Access to explore a simple database Design and create a new database Create and use forms Create and use queries
More informationUsing SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss
Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss SPSS is a program that is very easy to learn and is also very powerful. This manual is designed to introduce you to the program however,
More informationIntellect Platform  Tables and Templates Basic Document Management System  A101
Intellect Platform  Tables and Templates Basic Document Management System  A101 Interneer, Inc. 4/12/2010 Created by Erika Keresztyen 2 Tables and Templates  A101  Basic Document Management System
More informationUsing SPSS 20, Handout 3: Producing graphs:
Research Skills 1: Using SPSS 20: Handout 3, Producing graphs: Page 1: Using SPSS 20, Handout 3: Producing graphs: In this handout I'm going to show you how to use SPSS to produce various types of graph.
More informationBowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition
Bowerman, O'Connell, Aitken Schermer, & Adcock, Business Statistics in Practice, Canadian edition Online Learning Centre Technology StepbyStep  Excel Microsoft Excel is a spreadsheet software application
More informationSurvey Research Data Analysis
Survey Research Data Analysis Overview Once survey data are collected from respondents, the next step is to input the data on the computer, do appropriate statistical analyses, interpret the data, and
More informationUsing the New Online Degree Audit Adjustment Routing System
Using the New Online Degree Audit Adjustment Routing System There s a new way for advisers to submit their degree audit adjustments to the college office, and it s integrated into Access Plus. In this
More informationCal Answers Analysis Training Part III. Advanced OBIEE  Dashboard Reports
Cal Answers Analysis Training Part III Advanced OBIEE  Dashboard Reports University of California, Berkeley March 2012 Table of Contents Table of Contents... 1 Overview... 2 Remember How to Create a Query?...
More informationInfiniteInsight 6.5 sp4
End User Documentation Document Version: 1.0 20131119 CUSTOMER InfiniteInsight 6.5 sp4 Toolkit User Guide Table of Contents Table of Contents About this Document 3 Common Steps 4 Selecting a Data Set...
More information