Search results “The analysis of 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: 186266
Southampton Education School

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: 20311
Knowledge Abundance

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: 78922
Edifo

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: 458929
Quantitative Specialists

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: 16961
CSSLOhioStateU

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: 494941
Phil Chan

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: 346456
Ann K. Emery

Views: 347
BradAtkinson

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: 155261
Jacqueline C

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: 57804
BrunelASK

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

Views: 791931
Claus Ebster

CHAPTER FOUR DATA PRESENTATION, ANALYSIS AND DISCUSSION
OF FINDINGS,jamacada Mogadishu,uniso,jobkey,siu

Views: 517
gutaale technology and comedy gutale

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

Views: 200803
Alan Cann

How to prepare questionnaire data in SPSS

Views: 203696
Nikos Ntoumanis

Views: 117
Hannah T-J

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: 11050
Edifo

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: 88149
Kent Löfgren

In this video Dr. Ziene Mottiar, DIT, discusses issues around analyzing data and writing the analysing chapter. The difference between Findings and Analysis chapters is also discussed. This video is useful for anyone who is writing a dissertation or thesis.

Views: 64328
ZieneMottiar

Views: 115
Shakur Blackman

Position analysis questionnaire or "PAQ" is a method of Job analysis questionnaire that evaluates job skill level and basic characteristics of applicants for a set match of employment opportunity. The position analysis questionnaire has been developed at Purdue University by McCormick, E.J., & Jeanneret, and Mechame in 1972. The Position analysis questionnaire involves a series of detail questioning to produce many analysis reports. This method is high in use within Industrial and Organizational Psychology also Individual psychological assessment the Human Resource department or any individual trained in Job analysis take part in "PAQ".
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video

Views: 2451
Audiopedia

Views: 54
13ams2013

Views: 226
Kristy Maham

Links of Data set and case study used in the above video.
1. https://drive.google.com/open?id=1cj7ajAis8NWG_-rqkLT9kSiWYfvDarqH
2. https://drive.google.com/open?id=1DLT1N3xJ7mwM8j5AIpWHgSda0ChnAR8w

Views: 29581
Dr. Shailesh Kaushal

This is a follow up video to "SPSS: Questionnaire data entry"
Topic: Questionnaire/Survey data entry into SPSS
0:43 Ordinal variable goes from 1 to 7. Can I treat it as scale?
4:55 Is it possible to see the labels instead of the code?
6:37 I want to move a variable up the list.
8:49 Is there a quick way to reach the data entry for my variables?
9:50 I am using a variable that has more than 1 type of missing value. Please explain.

Views: 194748
Phil Chan

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: 459441
Phil Chan

Views: 322
Bucky Dodd

Learn about Likert Scales in SPSS and how to copy labels from one variable to another in this video. Entering codes for Likert Scales into SPSS is also covered.
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 will likely increase soon.)
Lots more Likert & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT
Likert scale SPSS video.
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Channel Description: For step by step help with statistics and SPSS. Both descriptive and inferential statistics covered. Subscribe today!
Video Transcript: In this video we'll take a look at how to enter value labels for a variable which will be review since we've done that before. But then I also want to show you how to apply value labels that were entered for one variable to a number of different variables which can be really useful as it's a great time saver. Here in this data set notice that I have 10 people and I have the variables gender, item 1, 2, 3, 4, and 5. And they answered on what's known as a Likert scale. Now you very well may have heard of a Likert scale before and the first thing is you may have heard of it called LIKE-ERT scale which is very common to call it that but it's actually Likert, so it's pronounced LICK-ERT instead of LIKE-ERT and it was developed by Rensis Likert in the early to middle 1900s he developed the scale. And it's used so commonly, it's used in this 5-point option as you see here, 5 to 1, and we'll talk about that in just a moment. You'll also see it in a 7-point option, it's very commonly used that way. And less commonly so but you'll see it in other ways like 9-point scale and so forth. And it's used with many different kinds of descriptions like definitely true, somewhat true, and so forth; not just agree as you see here. So, in the most traditional use of this scale, which is what we see right here, we have a 5=strongly agree, a 4=agree, 3 is neither agree nor disagree - this is sometimes called neutral - 2 is disagree and then 1 is strongly disagree. On item 1 they would read the following statement: I can turn to others for support when needed. And then what they do is they read that item, they look at these 5 options, and if it's someone who has a lot of support in their network or friendships or what have you, they might answer 5, strongly agree, or 4, agree. And if it's someone who doesn't experience a lot of social support, they might answer a 1 for strongly disagree or a 2 for disagree and so on. So, the first person here in row 1, notice for item 1 they answered a 4, so they answered agree. Item 2 they answered a 5 for strongly agree and so on. If we look down item 1, did anyone answer strongly disagree - let's take a look at that. We're looking for a 1 here, and notice that participant number 9, they answered a 1 on item 1, so they answered strongly disagree, and so on. So what I want to do here is go ahead and enter the value labels for item 1 so we're going to enter these into SPSS that you see here. And then I want to show you how to apply those to the remaining items in a very quick way. First of all, notice that we have gender, if I click on my value labels button here as a review, gender is already coded, I already entered those. But what I don't have entered is item 1, item 2, 3, 4, and 5. And I'd like to go ahead and enter those to have them in the dataset, so if I go back and look at this file at a later time, I'll remember that a 5 corresponded to strongly agree and a 1 corresponded to strongly disagree, so in other words I'll know which direction this scale is scored, and what I mean by that is higher scores indicate greater social support because people strongly agreed with a given item. Whereas lower scores indicated less social support. Since we're looking at entering value labels, let's begin with item 1. So I could either double-click on item 1 or I could go to the variable view tab. Let's go ahead and double-click on item 1 right at the column heading here that's "name". So I double-click on that and notice it takes me to the variable view window. So that's a quick way to get there if you want to access the variable view window. And then we'll go to the "values" column here, click on the "None" cell and then notice the 3 dots appear. So I click on that and then here let's start with
Lifetime access to SPSS videos: http://tinyurl.com/m2532td
Video on adding Likert items together to create a total score: http://youtu.be/7jxpSLZCBsw
Likert Scales
Likert
Strongly Agree to Strongly Disagree
Likert in SPSS

Views: 164260
Quantitative Specialists

Run through of analysis on questionnaires carried out as part of CDMEP funding application.

Views: 481
CreateSound.ie

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: 278574
Quantitative Specialists

1- Defining the type of the data
2- Description for the input data
3- How to enter different types of data
4- Normality test
5- Mann-Whitney test
6- Z-test
7- Anova

Views: 1729
Hatem Hodiri

Enter data from a questionnaire where the options are a Likert Scale (or a similar type of scale).

Views: 14853
BrunelASK

Part of a video series about how to setup an online questionnaire study with PsyToolkit

Views: 4888
Psy Toolkit

Employee Position Description Questionnaire

Views: 355
PinalCountyAzGov

This video explains the ideas of entering data in SPSS. We share the ideas of making a template from your questionnaire into the SPSS format. We discuss about the data view and variable view. Beside we discuss the variable setting according to the scale of measurements such as nominal, ordinal interval and ratio.
To learn more about the tutorial, please visit our website:
http://kajidataonline.com/
Online Tutorial SPSS With Dataset:
http://kajidataonline.com/spsstutorial/
Structured Online Learning:
http://spss.kajidataonline.com/online/login/index.php
The dataset for this video (Dataset 3):
http://kajidataonline.com/dataset/

Views: 369
Kajidataonline

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, 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. Videos series coming soon include: multiple regression in spss, factor analysis in spss, nonparametric tests in spss, multiple comparisons in spss, linear contrasts in spss, and many more. Subscribe today!
YouTube Channel: https://www.youtube.com/user/statisticsinstructor

Views: 193696
Quantitative Specialists

Views: 72
benaimeejess walsh

Questionnaire Design & Data Analysis By SPSS Program Workshop
#Dr.Omar Almohamad

Views: 175
Dr.omar Almohamad

Enter and define variables from a questionnaire in SPSS.
This example looks at a multiple response question in which a participant can 'tick all that apply'.
ASK SPSS Tutorial Series

Views: 73000
BrunelASK

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: 667530
Kent Löfgren

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© 2018 Market leader intermediate business english course book david cotton

The investment world is changing constantly, which means you must update your knowledge continually. Rather than being satisfied with what you already know, keep on learning . Tools and tips. Investment Portfolio Management. Investment Portfolio Management is the art of putting together and managing various investments to meet specific goals. We will examine management strategy choices, asset allocation and investing strategies, and management of risk as they pertain to management of an investment portfolio. Management Strategies. Passive Management. Passive management is for investors willing to accept market returns. Using a fixed asset allocation with a portfolio comprised of index funds would be examples of passive management. Active Management. Asset Allocation Strategies. Strategic Asset Allocation.