Search results “Survey data interpretation”
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: 16145 CSSLOhioStateU
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: 337582 Ann K. Emery
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/
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: 430010 Quantitative Specialists
Interpreting Survey Results
This is the second of three tutorials for the Team Trust Survey. This tutorial focuses on the meaning of different trust levels and what teams can do to enhance trust together. Please see http://www.teamtrustsurvey.com for more information.
Views: 1881 Dan Oestreich
Survey Researchers
19-3022.00 - Survey Researchers Plan, develop, or conduct surveys. May analyze and interpret the meaning of survey data, determine survey objectives, or suggest or test question wording. Includes social scientists who primarily design questionnaires or supervise survey teams. RELATED JOB TITLES: Field Interviewer, Market Survey Representative, Research Assistant, Research Associate, Research Fellow, Research Interviewer, Research Methodologist, Study Director, Survey Director, Telephone Interviewer
Views: 68 CareerOneStop
What is AEROMAGNETIC SURVEY? What does AEROMAGNETIC SURVEY mean? AEROMAGNETIC SURVEY meaning - AEROMAGNETIC SURVEY meaning - AEROMAGNETIC SURVEY definition - AEROMAGNETIC SURVEY explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. An aeromagnetic survey is a common type of geophysical survey carried out using a magnetometer aboard or towed behind an aircraft. The principle is similar to a magnetic survey carried out with a hand-held magnetometer, but allows much larger areas of the Earth's surface to be covered quickly for regional reconnaissance. The aircraft typically flies in a grid-like pattern with height and line spacing determining the resolution of the data (and cost of the survey per unit area). As the aircraft flies, the magnetometer measures and records the total intensity of the magnetic field at the sensor, which is a combination of the desired magnetic field generated in the Earth as well as tiny variations due to the temporal effects of the constantly varying solar wind and the magnetic field of the survey aircraft. By subtracting the solar, regional, and aircraft effects, the resulting aeromagnetic map shows the spatial distribution and relative abundance of magnetic minerals (most commonly the iron oxide mineral magnetite) in the upper levels of the Earth's crust. Because different rock types differ in their content of magnetic minerals, the magnetic map allows a visualization of the geological structure of the upper crust in the subsurface, particularly the spatial geometry of bodies of rock and the presence of faults and folds. This is particularly useful where bedrock is obscured by surface sand, soil or water. Aeromagnetic data was once presented as contour plots, but now is more commonly expressed as thematic (colored) and shaded computer generated pseudo-topography images. The apparent hills, ridges and valleys are referred to as aeromagnetic anomalies. A geophysicist can use mathematical modeling to infer the shape, depth and properties of the rock bodies responsible for the anomalies. Airplanes are normally used for high-level reconnaissance surveys in gentle terrain, and helicopters are used in mountainous terrain or where more detail is required. Aeromagnetic surveys are widely used to aid in the production of geological maps and are also commonly used during mineral exploration and petroleum exploration. Some mineral deposits are associated with an increase or decrease in the abundance of magnetic minerals, and occasionally the sought after commodity may itself be magnetic (e.g. iron ore deposits), but often the elucidation of the subsurface structure of the upper crust is the most valuable contribution of the aeromagnetic data. Aeromagnetic surveys were performed in World War II to detect submarines using a Magnetic Anomaly Detector attached to an aircraft. Aeromagnetic surveys are also used to perform reconnaissance mapping of unexploded ordnance (UXO). The aircraft is typically a helicopter, as the sensors must be close to the ground (relative to mineral exploration) to be effective. Electromagnetic methods are also used for this purpose.
Views: 586 The Audiopedia
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: 1609 TheKaKaNow
Data Analysis in SPSS Made Easy
Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 779427 Claus Ebster
SPSS: Survey Analysis
Views: 15176 Ross Avilla
Moving From Survey to Interpretation
Dr. Brian D. Russell (Ph.D., Professor of Biblical Studies at Asbury Theological Seminary in Orlando, FL) teaches a key step in Inductive Bible Study, i.e., how to move from a survey to an interpretation using the data that you learned in the survey.
Views: 33 SeekerofDeepMagic
Survey Examples and Interpretation
I show a few examples of different surveys I have used with students. I also show how I begin to interpret and use the data I get from these surveys.
Views: 8 Cade Dopp
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: 139615 YaleUniversity
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: 489574 Phil Chan
DataCracker - How To Analyze Survey Data
https://www.datacracker.com/ DataCracker is web-based survey data analysis software. Easily analyze your survey data. It provides 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: 8742 DataCracker
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: 27930 StataCorp LLC
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; *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: 650341 Kent Löfgren
What is SURVEY SAMPLING? What does SURVEY SAMPLING mean? SURVEY SAMPLING meaning & explanation
What is SURVEY SAMPLING? What does SURVEY SAMPLING mean? SURVEY SAMPLING meaning - SURVEY SAMPLING definition - SURVEY SAMPLING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term "survey" may refer to many different types or techniques of observation. In survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection. The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census. Survey samples can be broadly divided into two types: probability samples and non-probability samples. Probability-based samples implement a sampling plan with specified probabilities (perhaps adapted probabilities specified by an adaptive procedure). Probability-based sampling allows design-based inference about the target population. The inferences are based on a known objective probability distribution that was specified in the study protocol. Inferences from probability-based surveys may still suffer from many types of bias. Surveys that are not based on probability sampling have greater difficulty measuring their bias or sampling error. Surveys based on non-probability samples often fail to represent the people in the target population. In academic and government survey research, probability sampling is a standard procedure. In the United States, the Office of Management and Budget's "List of Standards for Statistical Surveys" states that federally funded surveys must be performed: selecting samples using generally accepted statistical methods (e.g., probabilistic methods that can provide estimates of sampling error). Any use of nonprobability sampling methods (e.g., cut-off or model-based samples) must be justified statistically and be able to measure estimation error. Besides, random sampling and design-based inference are supplemented by other statistical methods, such as model-assisted sampling and model-based sampling. For example, many surveys have substantial amounts of nonresponse. Even though the units are initially chosen with known probabilities, the nonresponse mechanisms are unknown. For surveys with substantial nonresponse, statisticians have proposed statistical models, with which data sets are analyzed. Issues related to survey sampling are discussed in several sources including Salant and Dillman (1994).
Views: 429 The Audiopedia
Survey Methods
-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 14435 Alejandro Peralta
How to enter survey data into Excel from a pen-and-paper questionnaire
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: 82167 Kent Löfgren
Chi-square test in SPSS + interpretation
How to run a chi-square test and interpret the output in SPSS (v20). ASK SPSS Tutorial Series
Views: 791563 BrunelASK
Data Collection I: Surveys, Interviews, Observations (COM1110 English Communication Skills)
Lecture on data collection methods (survey, interview and observations) for COM1110 English Communication Skills)
Views: 15428 Lisa Kwan
Creating a Quantification from a Survey Spectrum in XPS
The data used in this video and further videos are available on the CasaXPS website.
Views: 11738 CasaXPS Casa Software
Survey Data Analysis using Google Form surveys
Survey Data Analysis using Google Form surveys
Views: 27017 HiMrBogle
Survey data calculate mean, alpha value, correlate, regression for a research.
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: 1182 AnisuR TheGreenTree
Practice 4 - Analyzing and Interpreting Data
Science and Engineering Practice 3: Analyzing and Interpreting Data Paul Andersen explains how scientists analyze and interpret data. Data can be organized in a table and displayed using a graph. Students should learn how to present and evaluate data. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
Views: 57345 Bozeman Science
Process: Survey Analysis Workflow (Low)
Topics: Analysis workflow from research question to interpretation of results
Views: 518 Dana R Thomson
Magnetic Survey
Magnetic Surveying All Copyright Reserved for Queensland resourses council SEG ASUSC Facebook page : https://goo.gl/giZu13 SEG ASUSC Twitter account : https://goo.gl/ee9xHC
Views: 1467 SEG ASUSC
What Is The Meaning Of Survey Method?
If the respondents were unclear about meaning of a question they could ask for survey research is one most important areas measurement in applied social. Survey method management study guide. Survey research social methodschapter 3 survey design and quantitative methods of what is consumer method? Definition meaning charm university marylandsurvey definition questionnaires connections. Here are the three specific techniques of survey research. Types of survey different methods used when conducting surveyssurvey (queensland government statistician's office in market research the balance. Survey methodology wikipedia. The broad area of survey research encompasses any 14 sep 2008 introductionsurvey meaning and the present topic focuses exclusively on method, which is 15 aug 1998 chapter 3 design quantitative methods this often means that we must mean, median, mode are. The survey method is the technique of gathering data by asking questions to state a given question in such way that it will mean exactly same thing this lesson explores ways researcher may employ types surveys used research. The problem to be investigated by means of survey should sufficiently interesting unit 1 jan 2011 explore the research methods terrain, read definitions key terminology, and field. Survey methodology wikipedia survey method management study guide managementstudyguide survey_method. It may collect information about a population's characteristics, self reported and observed behaviour, awareness of programs, attitudes or opinions, needs. What is survey research? Definition and meaning method slidesharetypes of surveys social research methods. Consumer survey methods questionnaires and interviews the dictionary meaning of is a technique for gathering information from large number short description with links. Definition consumer survey method is one of the techniques demand forecasting that involves direct interview potential consumers. This third definition of survey is a specific type research. Encyclopedia of survey research methods we have automated telephone surveys that use random dialing. What is survey research? Definition, methods & types video methodology wikipedia. A field of applied statistics human research surveys, survey methodology studies the sampling individual units from a population and associated data collection techniques, such as questionnaire construction methods for improving number accuracy responses to surveys different types are mainly classified into according instrumentation include web also dynamic, which means they can provide statistical method essence be explained questioning individuals on topic or topics then describing their (jackson, 24 mar 2017 is collecting information. Repeating surveys at regular intervals can assist in the measurement of changes over time a survey is data collection tool used to gather information about individuals, commonly market research collect self reported from study definition method sociological in
Views: 451 new sparky
Choosing which statistical test to use - statistics help
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: 657791 Dr Nic's Maths and Stats
SPSS Questionnaire/Survey Data Entry - Part 2
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 Video Transcript: But for now we have our five possible options coded in here so that's perfect so click OK. Now next say someone checks this box here Other they get a 5 for ethnicity but then they state something like biracial so whenever we have a box or an entry that people can type something in that needs its own variable. So here in row 3 we're going to enter Other_ethnicity. OK and then we don't want it to be numeric that means it's going to be a number and it's not it's going to be text here so go ahead and click on numeric click on the three dots and then select string. And string indicates that you can have text and then let's change our characters to 25, that will allow 25 spaces and then we're done there so string is entered. OK our next is age and then notice for age they're going to enter their age and we asked for it in years so they'll enter 22, 43 or what have you. So we don't actually have to make codes like 1 for male, 2 female, and so on that value is going to be entered directly So here all we have to do is create the variable age and then press Enter and then next we have five questions from what's called the Satisfaction with Life Scale and here people read the statements and it says below are five statements you may agree or disagree with using a 1 to 7 scale where SD is strongly disagree and SA is strongly agree answer each of the following as they apply to yourself. So the first statement on the scale is "In most ways my life is close to my ideal" and then a person will circle one of these values indicating whether they tend to agree with the statement or tend to disagree with it if someone very much agreed with the statement then they would circle 7 saying they strongly agree. If they agreed somewhat they probably circle 5 or maybe a 6 and so on. Now notice we have 1, 2, 3, 4, 5 questions on this scale and this is a real scale by Diener et al., Satisfaction with Life Scale it's very popular scale and what I'm going to do in SPSS is notice a person will answer one of these seven choices here they'll give one of these answers circle 4 or 6 or what have you. So anytime someone answers a value it needs to have a variable. So I need to create a variable in SPSS for this question or statement a variable for this statement and so on and I'm going to call it the Satisfaction with Life Scale or SWLS for short, SWLS1 for the first question on it this will be SWLS2 and so on. So let's go and create those, so I have SWLS1 and I'll just press ENTER. SLWS2, these don't have to be in caps but I'm just doing that SWLS4 and then SWLS5. Now we could go ahead for our own notes and code what these values mean if we want to. One is Strongly Disagree,7 is Strongly Agree and so on. Now I'm going to do that I'll just go the extremes. So here a value of 1 is Strongly Agree let's make sure that's right. Nope the value of 1 is Strongly Disagree it's important to double check that to make sure we get it right and then a value of 7 is Strongly Agree as is shown here so let's make sure that checks out 1 is Strongly Disagree, 7 is Strongly Agree so that looks good click OK and then something that's nice here I can just copy this and then select these and select paste and it will paste all of those value labels to the remaining questions so that saves us a lot of time and that's only something we want to do when the variables share the same structure in other words SWLS has 1 is Strongly Disagree 7 is Strongly Agree well so does the rest of these so we could go ahead and copy those. OK so that looks good we can go to the Data View tab now and here are our variables gender, ethnicity, the other ethnicity that once again as if someone has a answer like biracial, age and then the five items on the Satisfaction with Life Scale. So let's go ahead and take an example and enter some data 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, and so on. 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
Views: 263203 Quantitative Specialists
Making Sense of Your Survey Data
0:07 Welcome and Introductions 2:30 Navigating the Online Data Portal 23:49 Interpreting Survey Results 39:27 Resources for Getting Ready for Discussion and Action 50:09 Q&A
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1463509 ExcelIsFun
Webinar - Using Soil Survey Data to Rank Habitat Suitability for the Gopher Tortoise (4/2017)
The gopher tortoise is a target species for conservation efforts in portions of the Coastal Plain of the southeastern United States. Because of their burrowing habit, the targeted habitat for these tortoises is dependent upon soil properties. This webinar will cover the soil interpretation development and update process that enabled effective and consistent interpretation of soils data throughout the gopher tortoise range. Captioning available upon request by e-mailing [email protected] USDA is an equal opportunity provider, employer, and lender.
Views: 94 NRCS NSSC
Interpretation of WiFi Survey Heatmaps. By: A-N-D
In this episode of Ekahau Site Survey video, visualized WiFi heat maps and how to interpret the data is presented.
SPSS Questionnaire/Survey Data Entry - Part 3
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: 223567 Quantitative Specialists
What is SOIL SURVEY? What does SOIL SURVEY mean? SOIL SURVEY meaning, definition & explanation
What is SOIL SURVEY? What does SOIL SURVEY mean? SOIL SURVEY meaning - SOIL SURVEY definition - SOIL SURVEY explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Soil survey, soil mapping, is the process of classifying soil types and other soil properties in a given area and geo-encoding such information. It applies the principles of soil science, and draws heavily from geomorphology, theories of soil formation, physical geography, and analysis of vegetation and land use patterns. Primary data for the soil survey are acquired by field sampling and by remote sensing. Remote sensing principally uses aerial photography, but LiDAR and other digital techniques are steadily gaining in popularity. In the past, a soil scientist would take hard-copies of aerial photography, topo-sheets, and mapping keys into the field with them. Today, a growing number of soil scientists bring a ruggedized tablet computer and GPS into the field with them. The tablet may be loaded with digital aerial photos, LiDAR, topography, soil geodatabases, mapping keys, and more. The term soil survey may also be used as a noun to describe the published results. In the United States, these surveys were once published in book form for individual counties by the National Cooperative Soil Survey. Today, soil surveys are no longer published in book form; they are published to the web and accessed on NRCS Web Soil Survey where a person can create a custom soil survey. This allows for rapid flow of the latest soil information to the user. In the past it could take years to publish a paper soil survey. Today it takes only moments for changes to go live to the public. Also, the most current soil survey data is made available at NRCS Soil Data Mart for high end GIS users such as professional consulting companies and universities. The information in a soil survey can be used by farmers and ranchers to help determine whether a particular soil type is suited for crops or livestock and what type of soil management might be required. An architect or engineer might use the engineering properties of a soil to determine whether it is suitable for a certain type of construction. A homeowner may even use the information for maintaining or constructing their garden, yard, or home.
Views: 799 The Audiopedia
3D Seismic
One of the most powerful geophysical technologies is 3D Seismic. Geophysical companies profile the sea floor and use sound to create images thousands of feet below the subsurface. Watch this video to learn more about the technology.
Views: 495575 ge0physicsrocks
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: 2820 smarthelping
Normality test using SPSS: How to check whether data are normally distributed
If data need to be approximately normally distributed, this tutorial shows how to use SPSS to verify this. On a side note: my new project: http://howtowritecitations.com. Statistical analyses often have dependent variables and independent variables and many parametric statistical methods require that the dependent variable is approximately normally distributed for each category of the independent variable. Let us assume that we have a dependent variable, exam scores, and an independent variable, gender. In short, we must investigate the following numerical and visual outputs (and the tutorial shows how to do just that): -The Skewness & kurtosis z-values, which should be somewhere in the span -1.96 to +1.96; -The Shapiro-Wilk p-value, which should be above 0.05; -The Histograms, Normal Q-Q plots and Box plots, which should visually indicate that our data are approximately normally distributed. Remember that your data do not have to be perfectly normally distributed. The main thing is that they are approximately normally distributed, and that you check each category of the independent variable. (In our example, both male and female data.) Step 1. In the menu of SPSS, click on Analyze, select Descriptive Statistics and Explore. Step 2. Set exam scores as the dependent variable, and gender as the independent variable. Step 3. Click on Plots, select "Histogram" (you do not need "Stem-and-leaf") and select "Normality plots with tests" and click on Continue, then OK. Step 4. Start with skewness and kurtosis. The skewness and kurtosis measures should be as close to zero as possible, in SPSS. In reality, however, data are often skewed and kurtotic. A small departure from zero is therefore no problem, as long as the measures are not too large compare to their standard errors. As a consequence, you must divide the measure by its standard error, and you need to do this by hand, using a calculator. This will give you the z-value, which, as I said, should be somewhere within -1.96 to +1.96. Let us start with the males in our example. To calculate the skewness z-value, divide the skewness measure by its standard error. All z-values in the tutorial video are within ±1.96. We can conclude that the exam score data are a little skewed and kurtotic, for both males and females, but they do not differ significantly from normality. Step 5. Check the Shapiro-Wilk test statistic. The null hypothesis for this test of normality is that the data are normally distributed. The null hypothesis is rejected if the p-value is below 0.05. In SPSS output, the p-value is labeled "Sig". In our example, the p-values for males and females are above 0.05, so we keep the null hypothesis. The Shapiro-Wilk test thus indicates that our example data are approximately normally distributed. Step 6. Next, let us look at the graphical figures, for both male and female data. Inspect the histograms visually. They should have the approximate shape of a normal curve. Then, look at the normal Q-Q plot. The dots should be approximately distributed along the line. This indicates that the data are approximately normally distributed. Skip the Detrended Q-Q plots. You do not need them. Finally, look at the box plots. They should be approximately symmetrical. The video contains references to books and articles. About writing out the results: I would put it under the sub-heading "Sample characteristics", and the video contains examples of how I would write. In this tutorial, I show you how to check if a dependent variable is approximately normally distributed for each category of an independent variable. I am assuming that you, eventually, want to use a certain parametric statistical methods to explore and investigate your data. If it turns out that your dependent variable is not approximately normally distributed for each category of the independent variable, it is no problem. In such case, you will have to use non-parametric methods, because they make no assumptions about the distributions. Good luck with your research. Text and video (including audio) © Kent Löfgren, Sweden Here are the references that I discuss in the video (thanks Abdul Syafiq Bahrin for typing them our for me): Cramer, D. (1998). Fundamental statistics for social research. London: Routledge. Cramer, D., & Howitt, D. (2004). The SAGE dictionary of statistics. London: SAGE. Doane, D. P., & Seward, L.E. (2011). Measuring Skewness. Journal of Statistics Education, 19(2), 1-18. Razali, N. M., & Wah, Y. B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Liliefors and Anderson-Darling test. Journal of Statistical Modeling and Analytics, 2(1), 21-33. Shapiro, S. S., & Wilk, M. B. (1965). An Analysis of Variance Test for Normality (Complete Samples). Biometrika, 52(3/4), 591-611.
Views: 404958 Kent Löfgren
On the radar: Survey data and radar charts
Wondering if your survey data would look best on a radar chart? This session strives to explore that question. We'll bring you from basic survey data through data reshaping, all the way to a radar chart, and explore some possibilities beyond.
Views: 520 Tableau Software
Generalizability Theory Applied to Dichotomous Survey Data With Dr Alex LoPilato
Dr Alex LoPilato will discuss how generalizability theory (GT) can benefit from developments in statistical methods. GT is a measurement theory that unpacks the opaque true score and measurement error terms found in classical test theory. In his talk, Dr Lopilato will demonstrate how to use maximum likelihood and Bayesian methods to estimate generalizability and dependability coefficients from dichotomous survey data.
Views: 682 PAL UK
The Australian MS Longitudinal Study – what survey data can reveal
Interview with Associate Professor Ingrid Van der Mei - The Australian MS Longitudinal Study – new directions, and what survey data can tell us. The Australian MS Longitudinal Study (AMSLS) is a survey-based research study that has been running since 2001 and now has over 3000 people completing research surveys each year. The study is designed to provide data of practical use for improving the lives of Australians living with MS. The study is a partnership between MS Research Australia and the Menzies Institute for Medical Research (University of Tasmania). All Australians with MS over 18 years of age are welcome to register with the study. MS Research Australia is the largest national organisation dedicated to funding and coordinating multiple sclerosis research in Australia, as part of the worldwide effort to solve MS. Its goal is to accelerate research: into the cause, better treatments and prevention, with the aim of ultimately finding a cure for MS. Multiple Sclerosis (MS) is the most common neurological disease affecting young adults, often diagnosed between the ages of 20 to 40 and affects three times more women than men. As yet, there is no cure. MS is the result of damage to myelin -- a protective sheath surrounding nerve fibres of the central nervous system. When myelin is damaged, this interferes with messages between the brain and other parts of the body. The symptoms of MS are different for each person; sometimes they even vary within the same person. For some, MS is characterised by periods of relapse and remission, while for others it has a progressive pattern. For everyone, it makes life unpredictable.
Calculating and Interpreting Cronbach's Alpha Using SPSS
This video describes how to calculate and interpret Cronbach's alpha using SPSS.
Views: 120605 Dr. Todd Grande
A More Transparent Interpretation of Health Club Surveys (YMCA)
For the full presentation contact [email protected] A More Transparent Interpretation of Health Club Surveys (YMCA) was presented by Dean Abbott at the 2012 Salford Analytics and Data Mining Conference (ADMC) in San Diego, CA.
Views: 61 Salford Systems
How to Use SPSS: Logistic Regression
Using multiple predictor variables to predict a dichotomous outcome.