Search results “Analysis of the survey data”
Your Survey Closed, Now What? Quantitative Analysis Basics
This webinar provides an overview of basic quantitative analysis, including the types of variables and statistical tests commonly used by Student Affairs professionals. Specifically discussed are the basics of Chi-squared tests, t-tests, and ANOVAs, including how to read an SPSS output for each of these tests.
Views: 18154 CSSLOhioStateU
Analysing Questionnaires
This video is part of the University of Southampton, Southampton Education School, Digital Media Resources http://www.southampton.ac.uk/education http://www.southampton.ac.uk/~sesvideo/
How to Analyze Satisfaction Survey Data in Excel with Countif
Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey ----- Soar beyond the dusty shelf report with my free 7-day course: https://depictdatastudio.teachable.com/p/soar-beyond-the-dusty-shelf-report-in-7-days/ Most "professional" reports are too long, dense, and jargony. Transform your reports with my course. You'll never look at reports the same way again.
Views: 358928 Ann K. Emery
Survey Design and Analysis
Published on 8/7/17 Presented on 8/7/17 Presented by Dr. Victor R. Prybutok The focus of this Webinar is to provide an overview of how to develop and contextualize surveys for use in obtaining quality customer feedback. Covered topics include how surveys are used to develop insight from customers, consumers, business partners, etc. The presentation will provide an overview of survey design and analysis including how item writing or modification of validated items in a construct are verified via exploratory factor analysis & reliability measures. We will also discuss how the model for which the survey is designed is tested via regression, logistic regression, or structural equation modeling. By the end of this webinar, participants should have a basic understanding of survey design and analytical techniques that result in obtaining better customer feedback even when one purchases an existing survey instrument. Suggestions on how to learn more will also be provided.
Views: 1963 ASQStatsDivision
SPSS: Survey Analysis
Views: 18022 Ross Avilla
Basic introduction to the analysis of complex survey data in Stata®
A basic introduction to the analysis of complex survey data in Stata. Created using Stata 13; new features available in Stata 14. Copyright 2011-2017 StataCorp LLC. All rights reserved.
Views: 29918 StataCorp LLC
ED693 - Discussion 1: Survey Data Analysis Techniques
Survey Data 1. Do the survey data come from nominal, ordinal or numerical scales or measures? 2. How many independent and dependent variables are there? 3. What statistical methods are potentially appropriate? 4. Do the survey data fit the requirements of the methods? 5. Which research question(s) will these results address?
Views: 90 UAF eCampus
SPSS Questionnaire/Survey Data Entry - Part 1
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: 498472 Quantitative Specialists
DataCracker -- The Best Way to Dig Deep in Your Survey Data Analysis
https://www.datacracker.com/ DataCracker is web-based survey data analysis software, providing you with statistical test results on your data without requiring expert knowledge in market research. Upload your data, and DataCracker will automatically discover significant results and write a basic report with tables and charts. You can dig deep into your data using advanced data analysis tools that allow you to discover segments and perform predictive analytics.
Views: 588 MindBug Studios
DataCracker -- The Best Way to Dig Deep in Your Survey Data Analysis
https://www.datacracker.com/ DataCracker is web-based survey data analysis software, providing you with statistical test results on your data without requiring expert knowledge in market research. Upload your data, and DataCracker will automatically discover significant results and write a basic report with tables and charts. You can dig deep into your data using advanced data analysis tools that allow you to discover segments and perform predictive analytics.
Views: 595 MindBug Studios
Survey Data Analysis using Google Form surveys
Survey Data Analysis using Google Form surveys
Views: 28087 HiMrBogle
Presentation of Analysis of Survey Results
By Lauren Brotherton & Lucya (Hyu) Lee
Views: 9820 Lauren Brotherton
Do statistical analysis of your survey data
http://ytwizard.com/r/rcYwDM http://ytwizard.com/r/rcYwDM Do statistical analysis of your survey data
Views: 8 Health
Open ended Survey Analysis using Machine Learning
With the recent advances in deep learning, the ability of algorithms to analyse text has improved considerably. Now analysing digital and social media is not restricted to just basic sentiment analysis and count based metrics. Creative use of advanced artificial intelligence techniques can be an effective tool for doing in-depth research. For any queries: [email protected]
R for Every Survey Analysis
Delivered by Max Richman at the inaugural New York R Conference in New York City at Work-Bench on Friday, April 24th, and Saturday, April 25th.
Views: 5791 Work-Bench
Process: Survey Analysis Workflow (Low)
Topics: Analysis workflow from research question to interpretation of results
Views: 551 Dana R Thomson
SPSS for questionnaire analysis:  Correlation analysis
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: 503433 Phil Chan
Survey Analysis & Reporting
This is the third webinar in our series on using surveys as a data collection method. In this webinar you will learn how to prepare survey results for analysis, select appropriate methods to analyze quantitative results, and display survey results effectively.
Views: 74 STEPP
Survey Analysis - Excel
Get the template with all formulas: http://www.smarthelping.com/2017/03/using-excel-to-perform-survey-analysis.html Explore all of smarthelping's financial models: http://www.smarthelping.com/p/excel.html This is a explanation of the various ways excel can be used to isolate various sub-groups and questions in a survey in order to develop a deeper understanding of responses as well as perform analysis.
Views: 3762 smarthelping
Visualizing Survey Data using Tableau
Steve Wexler's presentation on visualizing survey data from the 2014 Tableau Conference.
Views: 70402 Steve Wexler
Analysis of Complex Sample Survey Data
Excerpt from Summer 2008 workshop titled "Integrating Cultural and Ethnic Influences on Mental Health" as part of the Collaborative Psychiatric Epidemiology Surveys (CPES) project. Patricia Berglund, Harvard Medical School PowerPoint files are available here: http://www.icpsr.umich.edu/files/CPES/berglund.ppt
Views: 4295 ICPSR
SPSS Tutorial 5 - The Opinions Survey Dataset & Univariate Analysis
This video introduces the Opinions Survey Dataset, which will be used in the rest of these tutorials. You can download the data set used in these videos here: http://goo.gl/GpXK4D Information on the origins, license and permissions for this data set can be downloaded here: http://goo.gl/bhc07L
Views: 43555 patrickkwhite
SPSS Modeler Tutorial - Survey Analysis
This tutorial is for MKTG3010 Marketing Research students. Data: https://www.dropbox.com/s/qa0hz3ybuqarhga/Survey%20Analysis.rar?dl=0
Successful Survey Data Collection, Analysis and Reporting with Survey Manager
You have thousands of miles to survey and report on. It's critical that you survey accurately, make good decisions about the data you've collected, and generate necessary reports. You need the right tools to prevent rework and optimize your efforts. Survey Manager is a web-based application designed specifically for surveyors and survey processors who need to move quickly through their surveys and completely trust the data they've collected.
Bristol Online Survey Data Analysis
Analyse data Export data Conversion Depending on your BOS questionnaire type, you might need to look into this video: https://www.youtube.com/watch?v=bw-yvzORo7w
Views: 1744 TheKaKaNow
SPSS: How To Enter, Code, And Analyze Multiple Choice Data
0:08 Multiple choice item vs. Likert scale item 1:33 Multiple choice questions with one correct answer 3:27 Multiple choice questions with multiple correct answers 6:03 "Multiple response set" in SPSS 7:52 How to pronounce "Likert"? This video discusses how to best enter and code multiple choice type data in SPSS as well as how to analyze such data using descriptive stats and multiple response sets. Please LIKE this video if you enjoyed it. Otherwise, there is a thumb-down button, too... :P ▶ Please SUBSCRIBE to see new videos (almost) every week! ◀ ▼MY OTHER CHANNEL (MUSIC AND PIANO TUTORIALS)▼ https://www.youtube.com/ranywayz ▼MY SOCIAL MEDIA PAGES▼ https://www.facebook.com/ranywayz https://nl.linkedin.com/in/ranywayz https://www.twitter.com/ranywayz Animations are made with Sparkol. Music files retrieved from YouTube Audio Library. All images used in this video are free stock images or are available in the public domain. The views expressed in this video are my own and do not necessarily reflect the organizations with which I am affiliated. #SPSS #Statistics #DataEntry #RanywayzRandom
Views: 46605 Ranywayz Random
Introduction to Survey Documentation and Analysis (SDA)
This video provides a brief introduction to using SDA with the General Social Survey to analyze social science data.
Views: 1835 Alan Neustadtl
How to Analyze Survey Data - Questionpro Webinar
Join us as we look into the most frequently used question types, and how to effectively analyze your findings.
Views: 866 QuestionPro
Preliminary Quantitative Analysis of Survey Data
Cursory review quantitative elements of the survey data.
Views: 2315 moriartp1
Qualtrics Series Part III: Survey Distribution & Data Analysis
Prepare a survey instrument for distribution, construct a link for your instrument, and convert survey responses to analyzable data files in Qualtrics. The video was recorded as part of a teaching assistantship in EPY 710: Survey Research Methods with Alice Corkill, Ph.D. using Camtasia software.
Data Preparation Demo: Survey Data Analysis for Qlik® Sense and QlikView®
Manipulate a complex survey data file by restructuring it and prepping it for presentation within Qlik Sense or QlikView.
Views: 2867 Alteryx
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 153781 YaleUniversity
Qualitative analysis of interview data: A step-by-step guide
The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *the interviewee explicitly states that it is important; *you have read about something similar in reports, e.g. scientific articles; *it reminds you of a theory or a concept; *or for some other reason that you think is relevant. You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you. It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds. STEP 3, decide which codes are the most important, and create categories by bringing several codes together 3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand. 3.2. You can create new codes by combining two or more codes. 3.3. You do not have to use all the codes that you created in the previous step. 3.4. In fact, many of these initial codes can now be dropped. 3.5. Keep the codes that you think are important and group them together in the way you want. 3.6. Create categories. (You can call them themes if you want.) 3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever. 3.8. Be unbiased, creative and open-minded. 3.9. Your work now, compared to the previous steps, is on a more general, abstract level. You are conceptualizing your data. STEP 4, label categories and decide which are the most relevant and how they are connected to each other 4.1. Label the categories. Here are some examples: Adaptation (Category) Updating rulebook (sub-category) Changing schedule (sub-category) New routines (sub-category) Seeking information (Category) Talking to colleagues (sub-category) Reading journals (sub-category) Attending meetings (sub-category) Problem solving (Category) Locate and fix problems fast (sub-category) Quick alarm systems (sub-category) 4.2. Describe the connections between them. 4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study. STEP 5, some options 5.1. Decide if there is a hierarchy among the categories. 5.2. Decide if one category is more important than the other. 5.3. Draw a figure to summarize your results. STEP 6, write up your results 6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results. 6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example: *results from similar, previous studies published in relevant scientific journals; *theories or concepts from your field; *other relevant aspects. STEP 7 Ending remark Nb: it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.) Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze: *notes from participatory observations; *documents; *web pages; *or other types of qualitative data. STEP 8 Suggested reading Alan Bryman's book: 'Social Research Methods' published by Oxford University Press. Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE. Text and video (including audio) © Kent Löfgren, Sweden
Views: 689974 Kent Löfgren
Survey Data Analysis Using Klipfolio
This project helped an NGO headquartered in the US track in real time their development programs running in remotest parts of Africa.
Data Preparation Demo: Survey Data Analysis for Qlik® Sense
Restructure and manipulate a complex survey data file to prep it for presentation within Qlik Sense.
Views: 631 Alteryx
excel analysis Customer satisfaction survey 2017
customer satisfaction analysis NPS score# for SBS fellow interns... 1.group them according to requirement 2.analysis&get appropriate graphs 3.calculate NPC =promoters(extremely satisfied+very satisfied)-detractors(extermely dissatisfied+very dissatisfied)...exclude passive(satisfied/nutral).
Become a cutting-edge TABLEAU expert in as little as 8 HOURS with our newest data science online course — now 95% off. Dive into all that Tableau 2018 has to offer and take your data science career to whole new heights with “Tableau 2018: Hands-On Tableau Training For Data Science” — currently rated 4.6/5 on Udemy. Learn by doing with step-by-step lectures, real-life data analytics exercises and quizzes. ================================================= 95% OFF — A limited time, YouTube ONLY offer! Enroll today - https://www.udemy.com/tableau-2018/?couponCode=YOUTUBE95 ================================================= Here’s what some of our bright students have to say about the course! “I took almost every course from [instructor] Kirill and his team. This is one of the best ones so far. Examples and pace of the course are perfect in my opinion.” — Philipp S. “Intuitive guidance about how to interpret data and present it in a way that is easily comprehensible.” — Khushwinder B. Join over 523,000 data science lovers and professionals in taking your skills to the next level. Leverage opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Master everything there is to know about Tableau in 2018 ======================================== - Getting started - Tableau basics - Time series, aggregation and filters - Maps, scatterplots and launching your first dashboard - Joining and blending data - Creating dual axis charts - Table calculations, advanced dashboards, storytelling - Advanced data preparation - Clusters, custom territories, design features - What’s new in Tableau 2018 Learn on-the-go and at your convenience — via mobile, desktop, and TV — in a 70-lecture course that breaks down topics into fun and engaging videos while covering all the Tableau 2018 functions you’ll ever need. And don’t hesitate to start from the beginning, or skip ahead with our independent modules. Learn how to make Likert Scale Chart in Tableau through this amazing tutorial! Download supplemental materials here: https://www.superdatascience.com/yt-tableau-custom-charts-series/ Rating scales such as Likert scales and semantic differential scales are very common in marketing research, customer satisfaction studies, psychometrics, opinion surveys, and numerous other fields. Likert scales result when survey participants are asked to rank their agreement with survey items on a scale that includes strongly disagree, disagree, neither agree nor disagree, agree and strongly agree. Some authors also include scales with other numbers of categories about attitude. To stay up to date with our latest videos make sure to subscribe to SuperDataScience YouTube channel!
Views: 43832 SuperDataScience
Stata: Survey Analysis in Stata
Topics: Adjusting for stratification, clustering, oversampling and other complex survey design characteristics in Stata
Views: 5258 Dana R Thomson
Professional Survey Data Analysis Help
http://www.surveydataanalysis.net/ We provide you with professional survey data analysis. You'll be satisfied with the outcome of our work for sure as our experts know how to analyze your data properly. Their experience won't give any chance for failure. You can't miss the chance to get help from our pros!
Survey Monkey Analysis of Results
I have chosen to represent my analysis of results via a video clip. From this I can infer what people are looking for within the music products I am about to create and create my products to suit my target audience.
Views: 165 Eilish Gladwin

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