Search results “Method of data analysis questionnaire”

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/

Views: 185718
Southampton Education School

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: 16850
CSSLOhioStateU

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: 454744
Quantitative Specialists

Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey
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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: 345326
Ann K. Emery

This video describes the procedure of tabulating and analyzing the likert scale survey data using Microsoft Excel. This video also explains how to prepare graph from the tabulated data.
Photo courtesy: http://littlevisuals.co/

Views: 77858
Edifo

Checkout the full article and download the file at: http://www.excelcampus.com/pivot-tables/analyze-survey-data-in-excel/
Learn how to use Power Query to transform multiple choice survey data in Excel. This survey data has been exported to Excel in a format that is not easy to use for a pivot table. In this video you will learn how to use the Unpivot feature in Power Query to transform or normalize the data. This will make it easier to analyze with a pivot table and chart.
Please subscribe to my free email newsletter to get more Excel tips and tutorials like this. http://www.excelcampus.com/newsletter
PART 2: https://youtu.be/h-sKEPEvwZ8
PART 3: https://youtu.be/NBgL8ItVdKY

Views: 32731
Excel Campus - Jon

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

Views: 789998
Claus Ebster

I show my technique of entering raw data into Microsoft Excel that has been collected via a pen-and-paper survey. This includes both questions with fixed responses and open-ended questions.
Copyright: Text and video © Kent Löfgren, Sweden.

Views: 87385
Kent Löfgren

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: 19910
Knowledge Abundance

What kind of survey should I create? Political Science Professor Kenneth Fernandez discusses the pros and cons of each survey collection method. He also outlines 3 questions to ask yourself as you’re choosing a survey method.

Views: 22832
Elon University Poll

Likert Scale: http://en.wikipedia.org/wiki/Likert_scale
R: http://www.r-project.org/

Views: 200324
Alan Cann

Learn how leveraging Tableau's drag and drop methodology can help you visualize your survey data in more meaningful ways so you are able to derive richer insights. And discover how their interactive dashboard reports makes it easier to share high impact results with less effort.

Views: 26600
Usability Sciences Corporation

We'll look at how to take a qualitative survey and extract insight that you can use for your interactive project. Fourth video in the qualitative research series.

Views: 4452
UX School

This is a part of Quantitative method of data collection. if you want the further topics to be explained please do tell me by commenting down below.
AND IF YOU FIND THE VIDEO INFORMATIVE PLEASE DO LIKE, SHARE, COMMENT AND SUBSCRIBE TO MY CHANNEL.
LOTS OF LOVE

Views: 758
Legal Notes

Completing data analysis on open-ended questions using Excel.
For analyzing multiple responses to an open-ended question see Part 2: https://youtu.be/J_whxIVjNiY
Note: Selecting "HD" in the video settings (click on the "gear" icon) makes it easier to view the data entries

Views: 154831
Jacqueline C

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: 494143
Phil Chan

Prepare, clean, wrangle, and analyze political science data in R. Code and walkthrough for students or beginners learning quantitative, statistical analysis in R. This shows you how to do common data cleaning tasks, make a plot of country averages over time, and estimate a basic linear regression model with Eurobarometer data. How important is religion in different European countries? Which variables predict the probability individuals will vote in the European Parliament elections?
Data for this script can be downloaded here: https://www.dropbox.com/s/5bdhel8l7c5r59z/eurobarometer_trends.dta?dl=0
The script can be found here: https://gist.github.com/jmrphy/9020745
Newsletter: https://tinyletter.com/jmrphy
Blog: http://jmrphy.net/blog
Twitter: http://twitter.com/jmrphy
Podcast: http://jmrphy.libsyn.com/
Facebook: https://www.facebook.com/otherlifenow/
Periscope: https://www.pscp.tv/jstnmrphy
Instagram: https://www.instagram.com/jstnmrphy/

Views: 1897
Justin Murphy

Survey Data Analysis using Google Form surveys

Views: 27423
HiMrBogle

Trial NVivo free for 30 days, please visit the QSR International website: http://bit.ly/1tVYJFO. NVivo is software that supports qualitative and mixed methods research.
Researchers are employing more technology into their research so as to investigate topics with both breadth and depth. Here is an overview of the effort needed to meet the ever increasing needs of patients using NVivo.

Views: 4922
NVivo by QSR

Views: 15952
Ross Avilla

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;
*it surprises you;
*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.
3.10. 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
This tutorial showed how to focus on segments in the transcripts and how to put codes together and create categories. However, it is important to remember that 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.
Good luck with your study.
Text and video (including audio) © Kent Löfgren, Sweden

Views: 665031
Kent Löfgren

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: 145268
YaleUniversity

See how to summarize survey results (Psychology test) with:
1) Array Formula with SUM, COUNTA and IF functions.
2) VLOOKUP and Data Validation Drop Down List.

Views: 32010
ExcelIsFun

Subject :Social Research Methodology
Course :BA (Hons)
Keyword : SWAYAMPRABHA

Views: 313
Ch-03 Social Science-I

A lecture on Questionnaire Design by Graham R Gibbs taken from a series on research methods and research design given to masters (graduate) students at the University of Huddersfield. This is part 1 of three, and examines what kind of data can be gathered by questionnaires, the types of questions that can be used (especially open vs. closed questions) and the role of piloting the design.

Views: 45133
Graham R Gibbs

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: 28617
StataCorp LLC

Checkout the full article and download the file at: http://www.excelcampus.com/pivot-tables/analyze-survey-data-in-excel/
In this third part of the series we learn how to use Pivot Tables and formulas to analyze the multiple choice survey data. We also create a chart that shows the percentage of total responses for each item (choice) in the survey question.
Please subscribe to my free email newsletter to get more Excel tips and tutorials like this. http://www.excelcampus.com/newsletter
PART 2: https://youtu.be/h-sKEPEvwZ8
PART 3: https://youtu.be/NBgL8ItVdKY

Views: 31455
Excel Campus - Jon

By Lauren Brotherton & Lucya (Hyu) Lee

Views: 9007
Lauren Brotherton

This video describes how to prepare raw survey data in an Excel sheet for running an analysis of variance (ANOVA) test.

Views: 13133
Chris Olson

Views: 7631
Mr. Washam

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.

Views: 2188
Marissa Nichols, Ph.D.

In order to tell how to prepare a questionnaire for Survey research this video is made
i hope it will help you a lot. If you have anything to ask about or anything to add into this video you are welcome to give your valuable comments in comments box
Be gentle and nice when you say something, Thank you
Subscribe for more:)

Views: 4549
Infotainment by Sana Aly

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
Survey data
Survey data entry
Questionnaire data entry
Lifetime access to SPSS videos: http://tinyurl.com/m2532td
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, and much more. 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. Subscribe today!
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Video Transcript:
here. Suppose for example that we had a male who was Hispanic and to make it easy they answered let's say 6 on each of these questions. OK, so our gender male they would get a 1 for gender so enter 1, for ethnicity they're Hispanic so they would get a 4. Now this answer here, other ethnicity, only applies if someone answered other or a 5 and they stated something if they did then we would type it in such as biracial but they did not so we're going to just press Delete there so we just skip over it. Let's say the person was 25 and then recall they answered a 6 on all five of the items on the Satisfaction with Life Scale. OK so that looks good. Say the second person is female, so a 2 they were Caucasian let's say so 3 here so we're going to skip other ethnicity they were 21 and then they answered say 7s on the Satisfaction with Life Scale. OK and then one more let's say another female so that will be a 2 and this person was Other for race and they were biracial they wrote it on the form so we would put that and then their age was 32 and this person answered 3 on the first three questions and 4 on the last two and we would see that just by looking at their form and seeing what they circled. OK so that's a basic example for entering data creating a data file from a questionnaire and entering some values as well. Now we'll do analysis in a minute but there's one other thing that you might want to consider. Often if we have hard copies of these surveys if we've administered them to people by hand then often we'll want to keep track of each individual survey with a number. We'll have a ID number on the survey such as this may be 001 if it's the first person the next one could be 002 and so forth. So if I want to record that then what I want to do is make a modification to this data set here let's take a look at that, that can be very useful. This will illustrate how to enter or insert a variable and how to insert it where you want it to be and also how to create an ID variable which will not be a number but instead it will be treated as text and I'll show you what I mean here. So let's go right here click on gender and then right-click the mouse button and then select Insert Variable and notice how that put it right before gender it's just what we want to that's perfect. We'll call this ID and then under Type we're going to select string. Click OK and then let's go ahead and go to Data View and notice how that's once again to the left of gender and then we'll type 001 for the first person, 002 for the second, 003 and we could just do that all the way down as we had more people, or what have you. OK I'll go and delete these two though select those and press the Delete key and then that looks good. We've got our data set here and we could run some basic analyses such as we could run actually one more thing let's take a look at this before we do that let's go ahead and click on this button here this is known as our Value Labels button. If I click on that notice what happens here we have our males and females they're displayed and then the ethnicity is displayed and then here if someone answered a 1 or a 7 that label of either Strongly Agree or Strongly Disagree displays as you can see here Strongly Agree. if I click on that again it turns it off and you can leave it on if you want it's just a preference and then let's go to do a basic analysis so let's find the frequency of these two variables here so how many males there are how many females and then how many of each of ethnicity. Now obviously when we only have three people we could just look at this and tell very quickly but pretend we have hundreds of people or what have you. So we to to Analyze, Descriptive Statistics

Views: 234782
Quantitative Specialists

A Regression Tutorial Using the World Values Survey

Views: 4875
Philip Truscott

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.

Views: 677034
Dr Nic's Maths and Stats

Here in this video, I'd like to demonstrate how we can analyse, tabulate and prepare graph from rank questions.
In the rank order scaling, respondents are presented with several objects simultaneously and asked to order or rank them according to some criterion.
www.edifo.in
http://facebook.com/edifoin
http://twitter.com/edifodotin

Views: 10857
Edifo

How to analyze the results of your survey in SurveyMonkey

Views: 17439
Urbana MidSchool

Once students have collected their questionnaire data they tend to input the data into Excel and then ask the question "How do I import Excel data into SPSS?". Now it's much more efficient to enter your data into SPSS if you intend to use SPSS for data analysis. In short, how to get data directly into SPSS is what you need. Cut Excel out of it.
Of course, you could stick to Excel, but if SPSS is new to you, you will feel a lot more familiar with it after you have spent hours entering the data!
Follow up video:
http://youtu.be/N-krh4EaELE

Views: 458866
Phil Chan

Participate in our survey! We'll analyze the results in future episodes! (individual data will be kept anonymous). https://bit.ly/2J1zimn
Today we’re going to talk about good and bad surveys. From user feedback surveys, telephone polls, and those questionnaires at your doctors office, surveys are everywhere, but with their ease to create and distribute, they're also susceptible to bias and error. So today we’re going to talk about how to identify good and bad survey questions, and how groups (or samples) are selected to represent the entire population since it's often just not feasible to ask everyone.
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
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Views: 64748
CrashCourse

Topics: Analysis workflow from research question to interpretation of results

Views: 538
Dana R Thomson

This video explains how to create a coding sheet for a survey. Data types and how to code the results of a survey are presented. This information is helpful for research methodology, statistics, or social science courses.

Views: 27597
watsonpho1

Published on Nov 6, 2016(Today)
Survey data calculate mean, alpha value, correlate, regression for a research.
Watch this video: https://youtu.be/-43Nq7egT2I
Calculator is presented as a public service of Creative Research Systems ....SPSS...

Views: 1265
AnisuR TheGreenTree

Enter and define variables from a questionnaire in SPSS.
This example looks at a question in which participants rank a list of items.
ASK SPSS Tutorial Series

Views: 57646
BrunelASK

This video discusses 12 things to keep in mind when designing a survey for data collection (mostly undergrad research considerations).
Related videos:
Measure variables and calculate relationships: https://youtu.be/zLOaH03P1Hk
Multiple choices items and data: https://youtu.be/6drmBjplssg
Research design: https://youtu.be/WY9j_t570LY
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Dr. Ralph-Christian Ohr has been working in several innovation, division and product management functions for international, technology-based companies. His interest is aimed at organizational and personal capabilities for high innovation performance. He authors the Integrative Innovation Blog. The Biggest Mistakes in Managing a Portfolio. The Biggest Mistakes in Financial Planning Series. by Harvey Jacobson, CHFC, MBA, CLU. Investors who have remained consistent with their risk profiles through volatile markets have seen a substantial recovery in their portfolios since March 2009. Those who are truly behind are those who panicked and are now left with the decision of how to recover their losses. They can, but it is a much slower recovery. This article published originally April 13, 2010, Los Angeles Daily News. Managing an agile portfolio. When the right people on the right teams have the right context, they naturally do the right thing. Set the right context.