Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ
This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.

Views: 1493392
Research By Design

How to Use SPSS
In this third video about SPSS for Beginners, Dr. Daniel shows you three ways to approach descriptive statistics in SPSS. If you want quick and basic descriptives, use the Descriptives command to get the most commonly used statistics. The Frequencies command gives you a wide range of possibilities with the most flexibility to choose exactly what output that you want. When you want maximum output with lots of graphs – or if you want to split the descriptive statistics by a categorical variable (like gender), then use the Explore command.
Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and StatsClass.sav. As I add new files, they will appear here, as well.
https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing

Views: 112890
Research By Design

Use simple data analysis techniques in SPSS to analyze survey questions.

Views: 832839
Claus Ebster

How to conduct an analysis of frequencies and descriptive statistics using SPSS/PASW.

Views: 275599
bernstmj

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.
Watch correlation and regression: https://youtu.be/tDxeR6JT6nM
-------------------------
Correlation of 2 rodinal variables, non monotonic
This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the "correlation" for qualitative variables. And since your 2 variables are ordinal, they are qualitative.
Good luck

Views: 511794
Phil Chan

How to analyze a research questionnaire data that has been collected using SPSS. The proper techniques that are based on your research objectives and hypothesis are used. The analysis of the data is done by focusing on reliability of the questionnaire. Descriptive analysis, frequencies, correlation, factor analysis and regression analysis.

Views: 31259
Knowledge Abundance

This is an intro to a series of basic to advanced level lectures on Descriptive and Inferential Statistics available

Views: 7583
Vincent Torre Bongolan

A step-by-step approach for choosing an appropriate statistcal test for data analysis.

Views: 416211
TheRMUoHP Biostatistics Resource Channel

Updated video: SPSS for Beginners - Frequency https://youtu.be/bapuGcjwiLQ
This video demonstrates how to calculate simple descriptive statistics in SPSS, such as frequency counts, means, and standard deviations.

Views: 654854
Research By Design

Video provides overview of ways of obtaining and interpreting descriptive statistics for variables with different scales of measurement.

Views: 19931
Mike Crowson

How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT
Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.)
Survey data
Survey data entry
Questionnaire data entry
Channel Description: https://www.youtube.com/user/statisticsinstructor
For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today!
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Video Transcript:
In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.

Views: 554114
Quantitative Specialists

VIDEO SECTIONS:
0:30 – Preparing a Data Set
10:51 – Transforming Data
17:49 – Descriptive Statistics
29:25 – SPSS Syntax Editor

Views: 473350
Meredith Rocchi

How to define variables and enter data into SPSS (v20)
ASK SPSS Tutorial Series

Views: 460051
BrunelASK

Data analysis concept using SPSS. This video will explain the principle of data analysis. We discuss the requirement of data analysis, type of data analysis, type of statistical analysis (parametric and non parametric). Need to use SPSS for a project or dissertation? Start your journey here.
To know more, visit kajidataonline.com
#statistical overview of data analysis using SPSS

Views: 64
Kajidataonline

Multiple Response Analysis using SPSS Statistics

Views: 48630
My Easy Statistics

Demonstration of using SPSS functions to summarize data.

Views: 7551
Brandon Griffin

Links of Data set and case study used in the above video.
1. https://drive.google.com/open?id=1cFxxzm6mT1Ong4sO-qMrXHiGx_vfncb5
2. https://drive.google.com/open?id=1qGFUSLbp_T7Ei8GPxcDFLaLwQcsO0gpl

Views: 5928
Dr. Shailesh Kaushal

This video demonstrates a few ways to analyze pretest/posttest data using SPSS.

Views: 106362
Dr. Todd Grande

This video shows how to use SPSS to conduct a Correlation and Regression Analysis. A simple null hypothesis is tested as well. The regression equation is explained despite the result of the hypothesis conclusion.
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5. Donate at PayPal.Me/AGRONKACI
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MORE VIDEOS:
Watch Using Excel to find the Correlation Coefficient r here: https://youtu.be/y3bgaLwdm50
Watch ANOVA in SPSS here: https://youtu.be/Bx9ry1vBbTM
Watch Sampling Distribution of Sample Means here: https://youtu.be/anGsd2l5YpM
Watch Using Excel Charts to calculate Regression Equation here: https://youtu.be/qZjTtnyaV70
Watch Using Excel to calculate Regression Equation here: https://youtu.be/LDC0p9iZY8g
Watch ANOVA in Microsoft Excel (One-Way) here: https://youtu.be/WhBkgWL3_3k
Useful stuff:
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10. Xbox One 1TB Console - Tom Clancy's The Division Bundle: http://amzn.to/2yxYi2J
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Views: 235864
Agron Kaci

for more information : http://statisticisfun.blogspot.com/

Views: 154782
StatisticalLab

Seven different statistical tests and a process by which you can decide which to use.
The tests are:
Test for a mean,
test for a proportion,
difference of proportions,
difference of two means - independent samples,
difference of two means - paired,
chi-squared test for independence and
regression.
This video draws together videos about Helen, her brother, Luke and the choconutties.
There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.

Views: 747702
Dr Nic's Maths and Stats

This video describes how to perform a factor analysis using SPSS and interpret the results.

Views: 244758
Dr. Todd Grande

If data need to be approximately normally distributed, this tutorial shows how to use SPSS to verify this. On a side note: my new project: http://howtowritecitations.com.
Statistical analyses often have dependent variables and independent variables and many parametric statistical methods require that the dependent variable is approximately normally distributed for each category of the independent variable.
Let us assume that we have a dependent variable, exam scores, and an independent variable, gender.
In short, we must investigate the following numerical and visual outputs (and the tutorial shows how to do just that):
-The Skewness & kurtosis z-values, which should be somewhere in the span -1.96 to +1.96;
-The Shapiro-Wilk p-value, which should be above 0.05;
-The Histograms, Normal Q-Q plots and Box plots, which should visually indicate that our data are approximately normally distributed.
Remember that your data do not have to be perfectly normally distributed. The main thing is that they are approximately normally distributed, and that you check each category of the independent variable. (In our example, both male and female data.)
Step 1. In the menu of SPSS, click on Analyze, select Descriptive Statistics and Explore.
Step 2. Set exam scores as the dependent variable, and gender as the independent variable.
Step 3. Click on Plots, select "Histogram" (you do not need "Stem-and-leaf") and select "Normality plots with tests" and click on Continue, then OK.
Step 4. Start with skewness and kurtosis. The skewness and kurtosis measures should be as close to zero as possible, in SPSS. In reality, however, data are often skewed and kurtotic. A small departure from zero is therefore no problem, as long as the measures are not too large compare to their standard errors. As a consequence, you must divide the measure by its standard error, and you need to do this by hand, using a calculator. This will give you the z-value, which, as I said, should be somewhere within -1.96 to +1.96. Let us start with the males in our example. To calculate the skewness z-value, divide the skewness measure by its standard error. All z-values in the tutorial video are within ±1.96. We can conclude that the exam score data are a little skewed and kurtotic, for both males and females, but they do not differ significantly from normality.
Step 5. Check the Shapiro-Wilk test statistic. The null hypothesis for this test of normality is that the data are normally distributed. The null hypothesis is rejected if the p-value is below 0.05. In SPSS output, the p-value is labeled "Sig". In our example, the p-values for males and females are above 0.05, so we keep the null hypothesis. The Shapiro-Wilk test thus indicates that our example data are approximately normally distributed.
Step 6. Next, let us look at the graphical figures, for both male and female data. Inspect the histograms visually. They should have the approximate shape of a normal curve. Then, look at the normal Q-Q plot. The dots should be approximately distributed along the line. This indicates that the data are approximately normally distributed. Skip the Detrended Q-Q plots. You do not need them. Finally, look at the box plots. They should be approximately symmetrical.
The video contains references to books and articles.
About writing out the results: I would put it under the sub-heading "Sample characteristics", and the video contains examples of how I would write.
In this tutorial, I show you how to check if a dependent variable is approximately normally distributed for each category of an independent variable. I am assuming that you, eventually, want to use a certain parametric statistical methods to explore and investigate your data. If it turns out that your dependent variable is not approximately normally distributed for each category of the independent variable, it is no problem. In such case, you will have to use non-parametric methods, because they make no assumptions about the distributions.
Good luck with your research.
Text and video (including audio) © Kent Löfgren, Sweden
Here are the references that I discuss in the video (thanks Abdul Syafiq Bahrin for typing them our for me):
Cramer, D. (1998). Fundamental statistics for social research. London: Routledge.
Cramer, D., & Howitt, D. (2004). The SAGE dictionary of statistics. London: SAGE.
Doane, D. P., & Seward, L.E. (2011). Measuring Skewness. Journal of Statistics Education, 19(2), 1-18.
Razali, N. M., & Wah, Y. B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Liliefors and Anderson-Darling test. Journal of Statistical Modeling and Analytics, 2(1), 21-33.
Shapiro, S. S., & Wilk, M. B. (1965). An Analysis of Variance Test for Normality (Complete Samples). Biometrika, 52(3/4), 591-611.

Views: 437399
Kent Löfgren

http://thedoctoraljourney.com/ This tutorial demonstrates how to conduct a One Way ANOVA in SPSS.
For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.

Views: 445849
The Doctoral Journey

In this series of Data Management using SPSS software, I have discussed Inserting a new case, Inserting a new variable into the database.
I have discussed Identification of duplication cases in the data base.
This video is very useful for beginners to learn the analysis in a step by step process.

Views: 563
My Easy Statistics

Exploratory data analysis is an approach to analyzing data sets to summarize main characteristics of the data.
Exploratory data Analysis can help to determine whether the statistical technique that we are considering for data analysis are appropriate.

Views: 1622
My Easy Statistics

How to run a chi-square test and interpret the output in SPSS (v20).
ASK SPSS Tutorial Series

Views: 893581
BrunelASK

This video demonstrates how to conduct a two-way ANOVA in SPSS. Concepts such as main effects, interaction effects, post hoc tests, pairwise comparisons, Levene’s test, effect size, and statistical significance are described.

Views: 115557
Dr. Todd Grande

A visual explanation and step by step guide on how to calculate a one way ANOVA using SPSS. Tutorial includes an explanation of the results.
Like MyBookSucks on Facebook http://www.Facebook.com/partymorestudyless
Related Videos: PlayList on Two Way Anova http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp

Views: 170991
statisticsfun

Statistical Experimental Design Analysis Tutorials by Sasith Nuwantha (MIracle Visions)

Views: 10019
Sasith Nuwantha

This video explains to conduct Factor Analysis using SPSS

Views: 1748
My Easy Statistics

Skip to the start of instruction @ 17:15.
Practice running inferential statistics such as correlations, Independent and Paired-Samples T Test in order to test hypotheses and output statistical information about a population. This workshop also covers how to perform statistical analyses using Multiple Response Sets derived from multiple response questions as well as merging several data files into one.
Handout:
http://www.calstatela.edu/sites/default/files/groups/Information%20Technology%20Services/training/pdf/spss23p2.pdf
Data Files:
http://www.calstatela.edu/its/training/datafiles/spss23p2.zip
Let us know what you thought about our webcast through this simple survey.
http://www.surveygizmo.com/s3/1357089/25e5ff8a5b7d
#MyCalStateLA #ITS #SPSS

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MyCalStateLA

This video explains conducting Discriminant Analysis using SPSS

Views: 14112
My Easy Statistics

This video demonstrates how to analysis pretest and posttest data using SPSS when there is both a between-subjects factor and a within-subjects factor. Two methods for analyzing these data will be reviewed: Analysis of Covariance (ANCOVA) and Repeated Measures Analysis of Variance (RM ANOVA).

Views: 18169
Dr. Todd Grande

Video provides an introduction to binary logistic regression using SPSS.
The dataset that accompanies this video can be downloaded at: https://drive.google.com/open?id=1grGYiPyy7B1ltGZhRwvv0RiRFCF0e2nM
Be sure to visit my website here for more multivariate statistics: https://sites.google.com/view/statistics-for-the-real-world/home

Views: 77309
Mike Crowson

In this video: preparing SPSS program setting
https://www.linkedin.com/in/dregpt
https://www.fb.com/dregpt

Views: 1245
Ibrahim Salem

The Ratio Statistics procedure provides a comprehensive list of summary for describing the ratio between two scale variables

Views: 3681
My Easy Statistics

Bitcoin donations are welcome: 1GGV3gbJeA83FWmz9hDfPri8EuqcUtodXy
Mike's SPSS Tutorials Lesson 1
This video series is intended to help you learn how to analyze data using SPSS for your statistical needs. Lesson 1 introduces the SPSS window, it's various environments and what each environment does. I also provide basic guidance on how to create a data set by making a new variable with specified properties and how to enter it's data. Finally, I provide some simple rules to insuring a clean data set so that future analyses can be run cleanly and without difficulty.
Helpful Notes:
1. SPSS differs from other statistical software such as SAS in that it is menu driven. You could also create SPSS programs through coding, but the strength of SPSS lies in it's easy-to-use menu system for analysis.
2. Here are the three primary "environments" that SPSS uses:
A. OUTPUT WINDOW: where output is shown in tree structure with it's corresponding SPSS code
B. Data Editor Window, DATA VIEW: the spreadsheet environment for your data to easily see and manipulate data on the fly
C. Data Editor Window, VARIABLE VIEW: the listing environment for your data sets variables to quickly check and edit the properties of each variable or to create new variables easily
3. Using self-descriptive variable names, specifying the variable type, width and precision, as well as adding labels, and a scale of measurement can make sure that your variables remain easy to read and free from errors in the future.

Views: 446719
Mike's SAS Tutorials

Tutorial on doing the t-test on SPSS. Covers material in Chapter 9 of my book Discovering Statistics Using SPSS.

Views: 116541
Andy Field

How to Use SPSS
This is the first in a series of eight videos that will introduce you to using SPSS for introductory statistics. This series is designed for people with little or no experience with SPSS. You will learn about the SPSS work space, how to navigate between Data View and Variable View, how to create variables, and how to modify properties of variables.
Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and StatsClass.sav. As I add new files, they will appear here, as well.
https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing

Views: 176680
Research By Design

This video provides a brief overview of how to use AMOS (structural equation modeling program) to carry out confirmatory factor analysis of survey scale items.
The data for this video can be downloaded at: https://drive.google.com/open?id=1_VM6wOnBfUbpmkLyLXByVqpz3UKnRYqs
Check out my blog at: https://mikesstatsblog.blogspot.com/

Views: 73541
Mike Crowson

IN THIS TUTORIAL WE WILL LEARN HOW TO FIND OUT ASSOCIATION BETWEEN KNOWLEDGE SCORES AND SELECTED SOCIO DEMOGRAPHIC VARIABLES WITH THE HELP OF SPSS STATISTICS
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Views: 8745
Refined Nursing

This video demonstrates how distinguish and evaluate main and interaction effects in a two-way ANOVA using SPSS. A main effect represents the effect of one independent variable on a dependent variable and an interaction effect represents the effect of multiple independent variables simultaneously.

Views: 42850
Dr. Todd Grande

This video demonstrates the use of Poisson regression using SPSS. It covers the inclusion of factor and dummy variables and interpretation of the Incidence Rate Ratio (IRR). A copy of the data can be downloaded here: https://drive.google.com/open?id=14oB2qJPyJoffsGrcPtZF_OoxphvJaDXJ
The example is derived from the presentation using STATA at this website: https://stats.idre.ucla.edu/stata/dae/poisson-regression/
For more instructional videos and other materials on various statistics topics, be sure to my webpages at the links below:
Introductory statistics:
https://sites.google.com/view/statisticsfortherealworldagent/home
Multivariate statistics:
https://sites.google.com/view/statistics-for-the-real-world/home

Views: 1671
Mike Crowson

In this video, we describe how to carry out a hierarchical cluster analysis using IBM SPSS Statistics. This video accompanies the 2nd edition of "A Concise Guide to Market Research. The Process, Data, and Methods Using IBM SPSS Statistics" published with Springer.
Please visit http://www.guide-market-research.com for more information

Views: 18189
MSarstedt

This video demonstrates how to interpret multiple regression output in SPSS. This example includes two predictor variables and one outcome variable. Unstandardized and standardized coefficients are reviewed.

Views: 140342
Dr. Todd Grande

This video demonstrates how to calculate descriptive statistics using the “Frequencies” function in SPSS. Descriptive statistics covered include the mean, median, mode, standard deviation, minimum, maximum, range, skewness, and kurtosis. Formatting values using the “Style” option is reviewed.

Views: 3694
Dr. Todd Grande

Views: 2911
Arthur Bangert