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Search results “Data analysis techniques for questionnaires”
Analysing Questionnaires
 
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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/
Analyzing Research Questionnaire using SPSS
 
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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: 36366 Knowledge Abundance
QUESTIONNAIRE METHOD OF DATA COLLECTION
 
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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: 7763 Legal Notes
How to tabulate, analyze, and prepare graph from Likert Scale questionnaire data using Ms Excel.
 
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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: 118544 Edifo
SPSS Questionnaire/Survey Data Entry - Part 1
 
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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: 596127 Quantitative Specialists
Data Analysis in SPSS Made Easy
 
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Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 845625 Claus Ebster
Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
 
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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: 168503 YaleUniversity
Questionnaires
 
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How to design a good questionnaire for GCSE.
Views: 204024 MrArnoldsMaths
How to Analyze Satisfaction Survey Data in Excel with Countif
 
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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: 384344 Ann K. Emery
How to Analyze Survey Data Part 1 - Unpivot Data with Power Query
 
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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: 40378 Excel Campus - Jon
Excel and Questionnaires: How to enter the data and create the charts
 
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This is a tutorial on how to enter the results of your questionnaires in Excel 2010. It then shows you how to create frequency tables (using the countif function not the frequency function). The next stage is creating charts.
Views: 372056 Deirdre Macnamara
Questionnaire
 
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Questionnaire watch more videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Ms. Madhu Bhatia, Tutorials Point India Private Limited
How to create figures in Excel: Survey/questionnaire results/data | APA Style graphs
 
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Part 1: https://www.youtube.com/watch?v=MMG1KRP9BP0 Part 2: https://www.youtube.com/watch?v=V4J6xYoKwAo Copyright: Text and video © Kent Löfgren, Sweden.
Views: 62429 Kent Löfgren
Ordinal Scale Data Analysis Techniques
 
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Introduction to the Mann-Whitney U, Wlcoxon and Kruskal-Wallis tests with demostrations of on-line calculators. Websites: http://www.socscistatistics.com/tests/Default.aspx http://www.mathcracker.com/kruskal-wallis.php
Quantitative Questionnaires (Part 1)
 
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Table of Contents: 00:44 - Presentation Overview 01:19 - Terminology 03:21 - Developing individual items 06:33 - Attributes of good items 08:37 - How many items? 09:47 - Closed ended questions 10:26 - Constructing Stems 11:27 - Problematic stem construction 17:39 - Other item content issues
Views: 1349 Molly Ott
Qualitative data analysis
 
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Views: 48344 Jeongeun Kim
Qualitative analysis of interview data: A step-by-step guide
 
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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: 747285 Kent Löfgren
9 Quantitative data analysis
 
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A video tutorial from the National Union of Students, introducing the basic principles of quantitative data analysis and applying them to National Student Survey data.
Views: 16493 Kate Little
Coding Multiple Variables and Open-ended Questions. Part 2 of 3 on Quantitative Coding
 
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A lecture on coding and data entry in quantitative research by Graham R Gibbs taken from a series on quantitative data analysis and statistics given to undergraduate students at the University of Huddersfield. This is part 2 of 3 and examines how to deal with questions with more than one answer and questions with open-ended answers. Credits: Music: Kölderen Polka by Tres Tristes Tangos is licensed under an Attribution-ShareAlike 3.0 International License. http://freemusicarchive.org/music/Tres_Tristes_Tangos/ Image: Ice-ferns by Schnobby, Wikimedia Commons, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Views: 75168 Graham R Gibbs
SPSS: How To Perform Quantitative Data Analyses For Bachelor's Research? 5 Basic Analysis Methods
 
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1. Descriptives: 1:32 2. T test: 2:52 3. Correlation: 4:41 4. Chi square: 5:39 5. Linear regression: 6:45 This video discusses the basic statistical analytical procedures that are required for a typical bachelor's thesis. Five stats are highlighted here: descriptives, T test, correlation, Chi square, and linear regression. For requirements on reporting stats, please refer to the appendix of your research module manuals -- Frans Swint and I wrote an instructional text on APA reporting of stats. There is no upper limit in terms of how advanced your stats should be in your bachelor's dissertation. This video covers the basic procedures and is not meant to replace the instructions of your own research supervisor. Please consult your own research advisor for specific questions regarding your data analyses. 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. #RanywayzRandom #SPSS #Research
Views: 7169 Ranywayz Random
Ranking Scale Questionnaire  - How to tabulate, analyse and prepare graph using MS Excel.
 
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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: 18720 Edifo
Mini Statistics Lecture: Analyzing Likert Scale Questionnaire Data using R
 
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Likert Scale: http://en.wikipedia.org/wiki/Likert_scale R: http://www.r-project.org/
Views: 217535 Alan Cann
SPSS: How To Enter, Code, And Analyze Multiple Choice Data
 
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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: 58364 Ranywayz Random
(18E) Analysis of Likert Data
 
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Session 18: Descriptive Statistics: Summarising and Visualising Data Fifth Video
Views: 53107 Anthony Kuster
How to Analyze Survey Data Part 3 - Summarize with Pivot Tables and Charts
 
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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: 44651 Excel Campus - Jon
How to enter survey data into Excel from a pen-and-paper questionnaire
 
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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: 112317 Kent Löfgren
How to Know You Are Coding Correctly: Qualitative Research Methods
 
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Coding your qualitative data, whether that is interview transcripts, surveys, video, or photographs, is a subjective process. So how can you know when you are doing it well? We give you some basic tips.
Your Survey Closed, Now What? Quantitative Analysis Basics
 
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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: 20626 CSSLOhioStateU
Questionnaire project: Analyze data in SPSS
 
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Part of a video series about how to setup an online questionnaire study with PsyToolkit
Views: 8810 Psy Toolkit
Analyzing a Qualitative Survey
 
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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: 5259 UX School
Sampling Methods and Bias with Surveys: Crash Course Statistics #10
 
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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 Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark Brouwer, Justin Zingsheim, Nickie Miskell Jr., Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, Robert Kunz, SR Foxley, Sam Ferguson, Yasenia Cruz, Daniel Baulig, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, Alexander Tamas, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters,, Sandra Aft, Steve Marshall -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 92589 CrashCourse
Questionnaire data in SPSS - Likert scale question
 
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Enter data from a questionnaire where the options are a Likert Scale (or a similar type of scale).
Views: 16700 BrunelASK
Questionnaire and schedule in hindi
 
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Thank you friends to support me Plz share subscribe and comment on my channel and Connect me through Instagram:- Chanchalb1996 Gmail:- [email protected] Facebook page :- https://m.facebook.com/Only-for-commerce-student-366734273750227/ Unaccademy download link :- https://unacademy.app.link/bfElTw3WcS Unaccademy profile link :- https://unacademy.com/user/chanchalb1996 Telegram link :- https://t.me/joinchat/AAAAAEu9rP9ahCScbT_mMA
Views: 39449 study with chanchal
How to analyze your likert scale data in SPSS
 
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This video explains about the analysis steps in SPSS. You can begin with analyzing and transforming your data from ordinal scale to numeric scale using mean() command. Please be informed that these ideas, is just showing to you the ideas of analysis for my students' problem. Therefore, the explanation might not good. If you want the better content and videos, please do visit our channel: http://bit.do/kajidata If you need ideas about data analysis and the way to analyze your data step by steps. Please visit our website and register our online learning platform (for FREE). Website: http://kajidataonline.com/ Online Learning Platform: http://spss.kajidataonline.com/online/ Happy learning.
Views: 42481 Kajidataonline
Questionnaire Formation for Data Collection & Statistical Analysis (For Beginners in Urdu)
 
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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:)
Questionnaire data in SPSS - Ranked response question
 
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Enter data from a questionnaire where the participant needs to rank options (e.g. rank in order of importance).
Views: 11434 BrunelASK
Surveys as a qualitative research method
 
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Surveys as a qualitative research method
Views: 5076 DrKKHewitt
Methods of data collection- Questionnaire
 
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Subject :Social Research Methodology Course :BA (Hons) Keyword : SWAYAMPRABHA
How to Write a Survey or Questionnaire
 
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Watch more Business Communication videos: http://www.howcast.com/videos/383549-How-to-Write-a-Survey-or-Questionnaire To write a survey or questionnaire, you want to cover every possibility and avoid being misunderstood. Make sure you know what information you're after and make it easy for your subjects to help you find it. Step 1: Prepare information Prepare by defining the issues you are exploring and the objectives for the questionnaire. Clarify specifically what you want answered, eliminating generalizations, so that you can draw reliable data. Step 2: Design questions Design succinct and unambiguous questions with familiar words, and no abbreviations or double negatives. Be specific about timing, for instance, by stipulating "Every three hours" instead of "Often." Tip Open-format questions invite free-wheeling responses that tend to be subjective. Closed-format questions, like multiple choice, are easier to tabulate and track for useful information. Step 3: Separate questions Separate questions rather than making them dependent on previous or subsequent questions. Dependent questions can confuse, alienate, and add a level of uncertainty in your findings. Step 4: Do not lead Avoid writing a survey or questionnaire that uses leading questions that, intentionally or not, preserve the likelihood of a certain result. Offer clearly distinct choices. Step 5: Encompass responses Ask questions that anticipate and encompass all possible responses. Tip Expanding multiple choice surveys beyond four or five will dilute the results. Step 6: Organize Group the questions logically. Make them simple, direct, and unthreatening. If someone suspects an agenda, they will not answer truthfully. Step 7: Test survey Test your questionnaire or survey on a small but similar group before starting the official study. Get feedback about how questions were interpreted and suggestions on how to fix problems. Revise the survey based on your results, and you will be on your way to creating a clear study. Did You Know? Gallup found a 12 percent increase in voters who call themselves Independents between elections in 2007, when their numbers rose to 37 percent of the voting public, more than either Democrats or Republicans.
Views: 90782 Howcast
SPSS for questionnaire analysis:  Correlation analysis
 
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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: 518660 Phil Chan
What Is Questionnaire Method?
 
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There are many different types of surveys, several ways to administer them, and methods sampling. To allow each student the opportunity to provide anonymous feedback on their experience. Ross when it comes to getting a lot of information in short period, questionnaire may be the answer. Series editor kenneth n. There are two key features of survey research questionnaires a predefined series questions used to collect aug 29, 2014 allow for feedback from large number students, where it is impractical using other more resource intensive methods. Questionnaires can be classified as both, quantitative and qualitative method depending on the nature of questions. Questionnaires are usually paper and pencil instruments that the respondent completes. Questionnaire wikipedia. Structured questionnaires allow for the exploration of patterns and mar 16, 2016 once you learn them, you'll be a questionnaire pro too! have ever wondered if conducting survey will work your research? There are tons options can use research, in this article, we focus on one know best surveys. Your costs will increase if you need to do a lot of follow up get sufficient response rate. Data collection methods for program evaluation questionnaires. A questionnaire consists of a variety the questions printed or typed in definite order on form which are mailed further to respondents methods. Questionnaires are helpful in aug 20, 2010 introduction and the meaning. We clear up the confusion by showing you differences in each data collection method. Although questionnaires are often designed for statistical analysis of the responses, this is not always case. Write a note on the questionnaire method followed in research mode of administration can have serious effects types surveys social methods. Sometimes, it's hard to tell the difference between a questionnaire and surveys questionnaires are amongst most widely used methods in gathering information is survey. It serves four basic purposes to (1) collect the appropriate data, (2) make data comparable survey research is a commonly used method of collecting information about population interest. To gather data about knowledge, beliefs, attitudes, and behaviors. Googleusercontent search. Data tools oklahoma state university. As with every research method, there are pros and questionnaires commonly used to gather first hand information from a large audience, in the form of survey. Questionnaire wikipediaquestionnaires research methodology the advantages and disadvantages of questionnaires. You can disseminate questionnaires relatively inexpensively. Questionnaires data collection general advice lets evaluation 9 advantages and disadvantages of questionnaires survey fws flatworld solutionsquantitative research methods in rationale for questionnaire method what is questionnaire? Definition meaning business jargons. This method acts as a great source or facility for the collection of data from diverse and scattered group people. The uniqueness of th
Ratings & scales. Part 3 of 3 on Questionnaire Design
 
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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 3 of three, and looks at a selection of ways of collecting information about ratings and then examines some of the key ways that scales are constructed and used.
Views: 28667 Graham R Gibbs
Choosing which statistical test to use - statistics help.
 
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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: 766824 Dr Nic's Maths and Stats

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