Searching for "dissertation research"

Cohort 8 research and write dissertation

When writing your dissertation…

Please have an FAQ-kind of list of the Google Group postings regarding resources and information on research and writing of Chapter 2

digital resource sets available through MnPALS Plus

http://blog.stcloudstate.edu/ims/2017/10/21/digital-resource-sets-available-through-mnpals-plus/ 

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[how to] write chapter 2

You were reminded to look at dissertations of your peers from previous cohorts and use their dissertations as a “template”: http://repository.stcloudstate.edu/do/discipline_browser/articles?discipline_key=1230

You also were reminded to use the documents in Google Drive: e.g. https://drive.google.com/open?id=0B7IvS0UYhpxFVTNyRUFtNl93blE

Please have also materials, which might help you organize our thoughts and expedite your Chapter 2 writing….

Do you agree with (did you use) the following observations:

The purpose of the review of the literature is to prove that no one has studied the gap in the knowledge outlined in Chapter 1. The subjects in the Review of Literature should have been introduced in the Background of the Problem in Chapter 1. Chapter 2 is not a textbook of subject matter loosely related to the subject of the study.  Every research study that is mentioned should in some way bear upon the gap in the knowledge, and each study that is mentioned should end with the comment that the study did not collect data about the specific gap in the knowledge of the study as outlined in Chapter 1.

The review should be laid out in major sections introduced by organizational generalizations. An organizational generalization can be a subheading so long as the last sentence of the previous section introduces the reader to what the next section will contain.  The purpose of this chapter is to cite major conclusions, findings, and methodological issues related to the gap in the knowledge from Chapter 1. It is written for knowledgeable peers from easily retrievable sources of the most recent issue possible.

Empirical literature published within the previous 5 years or less is reviewed to prove no mention of the specific gap in the knowledge that is the subject of the dissertation is in the body of knowledge. Common sense should prevail. Often, to provide a history of the research, it is necessary to cite studies older than 5 years. The object is to acquaint the reader with existing studies relative to the gap in the knowledge and describe who has done the work, when and where the research was completed, and what approaches were used for the methodology, instrumentation, statistical analyses, or all of these subjects.

If very little literature exists, the wise student will write, in effect, a several-paragraph book report by citing the purpose of the study, the methodology, the findings, and the conclusions.  If there is an abundance of studies, cite only the most recent studies.  Firmly establish the need for the study.  Defend the methods and procedures by pointing out other relevant studies that implemented similar methodologies. It should be frequently pointed out to the reader why a particular study did not match the exact purpose of the dissertation.

The Review of Literature ends with a Conclusion that clearly states that, based on the review of the literature, the gap in the knowledge that is the subject of the study has not been studied.  Remember that a “summary” is different from a “conclusion.”  A Summary, the final main section, introduces the next chapter.

from http://dissertationwriting.com/wp/writing-literature-review/

Here is the template from a different school (then SCSU)

http://semo.edu/education/images/EduLead_DissertGuide_2007.pdf 

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When conducting qualitative data, how many people should be interviewed? Is there a minimum or a max

Here is my take on it:

Simple question, not so simple answer.

It depends.

Generally, the number of respondents depends on the type of qualitative inquiry: case study methodology, phenomenological study, ethnographic study, or ethnomethodology. However, a rule of thumb is for scholars to achieve saturation point–that is the point in which no fresh information is uncovered in response to an issue that is of interest to the researcher.

If your qualitative method is designed to meet rigor and trustworthiness, thick, rich data is important. To achieve these principles you would need at least 12 interviews, ensuring your participants are the holders of knowledge in the area you intend to investigate. In grounded theory you could start with 12 and interview more if your data is not rich enough.

In IPA the norm tends to be 6 interviews.

You may check the sample size in peer reviewed qualitative publications in your field to find out about popular practice. In all depends on the research problem, choice of specific qualitative approach and theoretical framework, so the answer to your question will vary from few to few dozens.

How many interviews are needed in a qualitative research?

There are different views in literature and no one agreed to the exact number. Here I reviewed some mostly cited references. Based Creswell (2014), it is estimated that 16 participants will provide rich and detailed data. There are a couple of researchers agreed ‎on 10–15 in-depth interviews ‎are ‎sufficient ‎‎ (Guest, Bunce & Johnson 2006; Baker & ‎Edwards 2012).

your methodological choices need to reflect your ontological position and understanding of knowledge production, and that’s also where you can argue a strong case for smaller qualitative studies, as you say. This is not only a problem for certain subjects, I think it’s a problem in certain departments or journals across the board of social science research, as it’s a question of academic culture.

here more serious literature and research (in case you need to cite in Chapter 3)

Sample Size and Saturation in PhD Studies Using Qualitative Interviews

http://www.qualitative-research.net/index.php/fqs/article/view/1428/3027

https://researcholic.wordpress.com/2015/03/20/sample_size_interviews/

Gaskell, George (2000). Individual and Group Interviewing. In Martin W. Bauer & George Gaskell (Eds.), Qualitative Researching With Text, Image and Sound. A Practical Handbook (pp. 38-56). London: SAGE Publications.

Lieberson, Stanley 1991: “Small N’s and Big Conclusions.” Social Forces 70:307-20. (http://www.jstor.org/pss/2580241)

Savolainen, Jukka 1994: “The Rationality of Drawing Big Conclusions Based on Small Samples.” Social Forces 72:1217-24. (http://www.jstor.org/pss/2580299).

Small, M.(2009) ‘How many cases do I need ? On science and the logic of case selection in field-based research’ Ethnography 10(1) 5-38

Williams,M. (2000) ‘Interpretivism and generalisation ‘ Sociology 34(2) 209-224

http://james-ramsden.com/semi-structured-interviews-how-many-interviews-is-enough/

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how to start your writing process

If you are a Pinterest user, you are welcome to just sbuscribe to the board:

https://www.pinterest.com/aidedza/doctoral-cohort/

otherwise, I am mirroring the information also in the IMS blog:

http://blog.stcloudstate.edu/ims/2017/08/13/analytical-essay/ 

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APA citing of “unusual” resources

http://blog.stcloudstate.edu/ims/2017/08/06/apa-citation/

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statistical modeling: your guide to Chapter 3

working on your dissertation, namely Chapter 3, you probably are consulting with the materials in this shared folder:

https://drive.google.com/drive/folders/0B7IvS0UYhpxFVTNyRUFtNl93blE?usp=sharing

In it, there is a subfolder, called “stats related materials”
https://drive.google.com/open?id=0B7IvS0UYhpxFcVg3aWxCX0RVams

where you have several documents from the Graduate school and myself to start building your understanding and vocabulary regarding your quantitative, qualitative or mixed method research.

It has been agreed that before you go to the Statistical Center (Randy Kolb), it is wise to be prepared and understand the terminology as well as the basics of the research methods.

Please have an additional list of materials available through the SCSU library and the Internet. They can help you further with building a robust foundation to lead your research:

http://blog.stcloudstate.edu/ims/2017/07/10/intro-to-stat-modeling/

In this blog entry, I shared with you:

  1. Books on intro to stat modeling available at the library. I understand the major pain borrowing books from the SCSU library can constitute, but you can use the titles and the authors and see if you can borrow them from your local public library
  2. I also sought and shared with you “visual” explanations of the basics terms and concepts. Once you start looking at those, you should be able to further research (e.g. YouTube) and find suitable sources for your learning style.

I (and the future cohorts) will deeply appreciate if you remember to share those “suitable sources for your learning style” either by sharing in this Google Group thread and/or sharing in the comments section of the blog entry: http://blog.stcloudstate.edu/ims/2017/07/10/intro-to-stat-modeling.  Your Facebook group page is also a good place to discuss among ourselves best practices to learn and use research methods for your chapter 3.

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search for sources

Google just posted on their Facebook profile a nifty short video on Google Search
http://blog.stcloudstate.edu/ims/2017/06/26/google-search/

Watching the video, you may remember the same #BooleanSearch techniques from our BI (bibliography instruction) session of last semester.

Considering the fact of preponderance of information in 2017: your Chapter 2 is NOT ONLY about finding information regrading your topic.
Your Chapter 2 is about proving your extensive research of the existing literature.

The techniques presented in the short video will arm you with methods to dig deeper and look further.

If you would like to do a decent job exploring all corners of the vast area called Internet, please consider other search engines similar to Google Scholar:

Microsoft Semantic Scholar (Semantic Scholar); Microsoft Academic Search; Academicindex.net; Proquest Dialog; Quetzal; arXiv;

https://www.google.com/; https://scholar.google.com/ (3 min); http://academic.research.microsoft.com/http://www.dialog.com/http://www.quetzal-search.infohttp://www.arXiv.orghttp://www.journalogy.com/
More about such search engines in the following blog entries:

http://blog.stcloudstate.edu/ims/2017/01/19/digital-literacy-for-glst-495/

and

http://blog.stcloudstate.edu/ims/2017/05/01/history-becker/

Let me know, if more info needed and/or you need help embarking on the “deep” search

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tips for writing and proofreading

please have several infographics to help you with your writing habits (organization) and proofreading, posted in the IMS blog:

https://blog.stcloudstate.edu/ims/2017/06/11/writing-first-draft/
https://blog.stcloudstate.edu/ims/2017/06/11/prewriting-strategies/ 

https://blog.stcloudstate.edu/ims/2017/06/11/essay-checklist/

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letter – request copyright permission

Here are several samples on mastering such letter:

https://registrar.stanford.edu/students/dissertation-and-thesis-submission/preparing-engineer-theses-paper-submission/sample-3

http://www.iup.edu/graduatestudies/resources-for-current-students/research/thesis-dissertation-information/before-starting-your-research/copyright-permission-instructions-and-sample-letter/

https://brocku.ca/webfm_send/25032

 

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qualitative method research

Cohort 7

By miltenoff | View this Toon at ToonDoo | Create your own Toon

Qualitative Method Research

quote

Data treatment and analysis

Because the questionnaire data comprised both Likert scales and open questions, they were analyzed quantitatively and qualitatively. Textual data (open responses) were qualitatively analyzed by coding: each segment (e.g. a group of words) was assigned to a semantic reference category, as systematically and rigorously as possible. For example, “Using an iPad in class really motivates me to learn” was assigned to the category “positive impact on motivation.” The qualitative analysis was performed using an adapted version of the approaches developed by L’Écuyer (1990) and Huberman and Miles (1991, 1994). Thus, we adopted a content analysis approach using QDAMiner software, which is widely used in qualitative research (see Fielding, 2012; Karsenti, Komis, Depover, & Collin, 2011). For the quantitative analysis, we used SPSS 22.0 software to conduct descriptive and inferential statistics. We also conducted inferential statistics to further explore the iPad’s role in teaching and learning, along with its motivational effect. The results will be presented in a subsequent report (Fievez, & Karsenti, 2013)

Fievez, A., & Karsenti, T. (2013). The iPad in Education: uses, benefits and challenges. A survey of 6057 students and 302 teachers in Quebec, Canada (p. 51). Canada Research Chair in Technologies in Education. Retrieved from https://www.academia.edu/5366978/The_iPad_in_Education_uses_benefits_and_challenges._A_survey_of_6057_students_and_302_teachers_in_Quebec_Canada

unquote

 The 20th century notion of conducting a qualitative research by an oral interview and then processing manually your results had triggered in the second half of the 20th century [sometimes] condescending attitudes by researchers from the exact sciences.
The reason was the advent of computing power in the second half of the 20th century, which allowed exact sciences to claim “scientific” and “data-based” results.
One of the statistical package, SPSS, is today widely known and considered a magnificent tools to bring solid statistically-based argumentation, which further perpetuates the superiority of quantitative over qualitative method.
At the same time, qualitative researchers continue to lag behind, mostly due to the inertia of their approach to qualitative analysis. Qualitative analysis continues to be processed in the olden ways. While there is nothing wrong with the “olden” ways, harnessing computational power can streamline the “olden ways” process and even present options, which the “human eye” sometimes misses.
Below are some suggestions, you may consider, when you embark on the path of qualitative research.
The Use of Qualitative Content Analysis in Case Study Research
Florian Kohlbacher
http://www.qualitative-research.net/index.php/fqs/article/view/75/153

excellent guide to the structure of a qualitative research

Palys, T., & Atchison, C. (2012). Qualitative Research in the Digital Era: Obstacles and Opportunities. International Journal Of Qualitative Methods, 11(4), 352-367.
http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dkeh%26AN%3d89171709%26site%3dehost-live%26scope%3dsite
Palys and Atchison (2012) present a compelling case to bring your qualitative research to the level of the quantitative research by using modern tools for qualitative analysis.
1. The authors correctly promote NVivo as the “jaguar’ of the qualitative research method tools. Be aware, however, about the existence of other “Geo Metro” tools, which, for your research, might achieve the same result (see bottom of this blog entry).
2. The authors promote a new type of approach to Chapter 2 doctoral dissertation and namely OCR-ing PDF articles (most of your literature as of 2017 is mostly either in PDF or electronic textual format) through applications such as
Abbyy Fine Reader, https://www.abbyy.com/en-us/finereader/
OmniPage,  http://www.nuance.com/for-individuals/by-product/omnipage/index.htm
Readirus http://www.irislink.com/EN-US/c1462/Readiris-16-for-Windows—OCR-Software.aspx
The text from the articles is processed either through NVIVO or related programs (see bottom of this blog entry). As the authors propose: ” This is immediately useful for literature review and proposal writing, and continues through the research design, data gathering, and analysis stages— where NVivo’s flexibility for many different sources of data (including audio, video, graphic, and text) are well known—of writing for publication” (p. 353).
In other words, you can try to wrap your head around huge amount of textual information, but you can also approach the task by a parallel process of processing the same text with a tool.
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Here are some suggestions for Computer Assisted / Aided Qualitative Data Analysis Software (CAQDAS) for a small and a large community applications):

– RQDA (the small one): http://rqda.r-forge.r-project.org/ (see on youtube the tutorials of Metin Caliskan); one active developper.
GATE (the large one): http://gate.ac.uk/ | https://gate.ac.uk/download/

text mining: https://en.wikipedia.org/wiki/Text_mining
Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output.
https://ischool.syr.edu/infospace/2013/04/23/what-is-text-mining/
Qualitative data is descriptive data that cannot be measured in numbers and often includes qualities of appearance like color, texture, and textual description. Quantitative data is numerical, structured data that can be measured. However, there is often slippage between qualitative and quantitative categories. For example, a photograph might traditionally be considered “qualitative data” but when you break it down to the level of pixels, which can be measured.
word of caution, text mining doesn’t generate new facts and is not an end, in and of itself. The process is most useful when the data it generates can be further analyzed by a domain expert, who can bring additional knowledge for a more complete picture. Still, text mining creates new relationships and hypotheses for experts to explore further.

quick and easy:

intermediate:

advanced:

http://tidytextmining.com/

Introduction to GATE Developer  https://youtu.be/o5uhMF15vsA


 

use of RapidMiner:

https://rapidminer.com/pricing/

– Coding Analysis Toolkit (CAT) from University of Pittsburgh and University of Massachusetts
– Raven’s Eye is an online natural language ANALYSIS tool based
– ATLAS.TI
– XSIGTH

– QDA Miner: http://provalisresearch.com/products/qualitative-data-analysis-software/

There is also a free version called QDA Miner Lite with limited functionalities: http://provalisresearch.com/products/qualitative-data-analysis-software/freeware/

– MAXQDA

–  NVivo

– SPSS Text Analytics

– Kwalitan

– Transana (include video transcribing capability)

– XSight

Nud*ist https://www.qsrinternational.com/

(Cited from: https://www.researchgate.net/post/Are_there_any_open-source_alternatives_to_Nvivo [accessed Apr 1, 2017].

– OdinText

IBM Watson Conversation
IBM Watson Text to Speech
Google Translate API
MeTA
LingPipe
NLP4J
Timbl
Colibri Core
CRF++
Frog
Ucto
– CRFsuite

– FoLiA
PyNLPl
openNLP
NLP Compromise
MALLET
Cited from: https://www.g2crowd.com/products/nvivo/competitors/alternatives [accessed April 1, 2017
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http://www.socresonline.org.uk/3/3/4.html
Christine A. Barry (1998) ‘Choosing Qualitative Data Analysis Software: Atlas/ti and Nudist Compared’
Sociological Research Online, vol. 3, no. 3, <http://www.socresonline.org.uk/3/3/4.html&gt;

Pros and Cons of Computer Assisted Qualitative Data Analysis Software

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more on quantitative research:

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125
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literature on quantitative research:
Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press. https://mplus.mnpals.net/vufind/Record/ebr4_1006438
St. Cloud State University MC Main Collection – 2nd floor AZ195 .B66 2015
p. 161 Data scholarship in the Humanities
p. 166 When Are Data?
Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015

limitations and delimitations in research

Shortly:
Limitations are influences that the researcher cannot control.   They are the shortcomings, conditions or influences that cannot be controlled by the researcher that place restrictions on your methodology and conclusions. Any limitations that might influence the results should be mentioned.
Delimitations are choices made by the researcher which should be mentioned. They describe the boundaries that you have set for the study.
Assumptions are accepted as true, or at least plausible, by researchers and peers who will read your dissertation or thesis.

More:
https://www.bcps.org/offices/lis/researchcourse/develop_writing_methodology_limitations.html

https://www.phdstudent.com/Choosing-a-Research-Design/stating-the-obvious-writing-assumptions-limitations-and-delimitations/Page-2

http://dissertationrecipes.com/wp-content/uploads/2011/04/AssumptionslimitationsdelimitationsX.pdf

Dissertation Guidelines
http://www.regent.edu/acad/schedu/pdfs/residency/su09/dissertation_guidelines.pdf

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more on dissertation research in this IMS blog
http://blog.stcloudstate.edu/ims?s=dissertation+research

research and literature review

Roberts, C. (2010). The Dissertation Journey. A Practical and Comprehensive Guide to Planing, Writing, and Defending Your Dissertation. Corwin, Thousand Oaks, CA.

Chapter 9.

Purpose and scope

We talked about “themes” and the need to be careful with breaking them into “subthemes”: if you do a historical overview, avoid chunking it into “dates” and rather keep the thematic relation. Make sure that the relate to your topic; that’s why it is good to keep your title (even if preliminary), outline (even if in progress), thesis (even if under work) etc. on the first page of your Chapter 2 manuscript / draft.

  1. 87

Writing a conceptual framework from Wylie Tidwell, III

Formulate your research question / thesis
https://drive.google.com/open?id=0B7IvS0UYhpxFNGhCZ01fWTBzSjg

digital literacy for GLST 495

Digital Literacy for GLST 495

short link: http://bit.ly/glst495

Prof. Misha Blinnikov

What is Digital Fluency and how does it differ from Digital Literacy? Information Literacy? http://blog.stcloudstate.edu/ims/2018/11/01/preparing-learners-for-21st-century-digital-citizenship/

  1. How do we search?
    1. SCSU Resources
      1. https://stcloud.lib.mnscu.edu/subjects/guide.php?subject=GEOG
    2. Google and/vs. Google Scholar (more focused, peer reviewed, academic content)
    3. SCSU online dbases
    4. Academia.com and ResearchGate.com
    5. Digg http://digg.com/, Reddit https://www.reddit.com/ ,
      http://smallbusiness.chron.com/difference-between-digg-reddit-68203.html
      Quora https://www.quora.com/
    6. Interlibrary Loan ILL http://lrts.stcloudstate.edu/library/services/illrequest.asp
    7. OER (Open Educational Resources)
    8. Big Data
  2. Basic Research Resources
    1. Concept mapping (???)
      http://blog.stcloudstate.edu/ims/?s=concept+map
    2. Fast and easy bibliographic tools:
      http://blog.stcloudstate.edu/ims/2013/12/06/bibliographic-tools-fast-and-easy/
      Refworks: https://www.refworks.com/refworks2/default.aspx?r=authentication::init&groupcode=RWStCloudSU
      EasyBib: http://www.easybib.com/
      Zotero: https://www.zotero.org/
      Mendeley: https://www.mendeley.com/
    3. Setting up social networking to gather articles and other research information
      LinkedIn Groups
      Facebook Groups
      Pinterest Boards
  3. Social media and its importance for the topic research and the dissertation research:
    1. Web 2.0 tools: e.g. Diigo.com; Evernote.com
    2. Facebook, Twitter
    3. blog.stcloudstate.edu
  4. Academic Social Sites:
    http://blog.stcloudstate.edu/ims/2018/11/13/scsu-edad-scopus-vs-academia-vs-researchgate/

synchronous vs asynchronous

From the The EDUCAUSE Blended and Online Learning Constituent Group Listserv <BLEND-ONLINE@LISTSERV.EDUCAUSE.EDU>

Can you recommend a peer-reviewed research article that addresses the learning outcomes/learning effectiveness of asynchronous vs. synchronous teaching approaches in online courses?

We have a program that has required weekly synchronous sessions (held via Bb Collaborate) that support the otherwise asynchronous courses in the program. The department is considering making that requirement optional to accommodate worldwide learners, but there are faculty who are concerned about the impact to the learning and transfer of knowledge to the students.

Any research that addresses the differences in these teaching modalities when it comes to learning outcomes?

Thanks in advance,     Kristen     Kristen Brown     Assistant Director, Online Learning     Delphi Center for Teaching and Learning

I am happy to share my own dissertation research which specifically focused on this topic as well. Please email me and I will share. andy.black@nurs.utah.edu
My note: I emailed Andy and will attach his dissertation to this blog, if interest

final-dissertation-andy-black-asynchronous-synchronous

On Behalf Of Henri Moser
Sent: Friday, January 06, 2017 8:35 AM

Here is a link to my dissertation which centered on synchronous academic support for online graduate students.Best,Henri

http://dune.une.edu/theses/56/

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more on synchronous online learning in this IMS blog
http://blog.stcloudstate.edu/ims?s=synchronous

digital literacy for SOE students

Digital literacy for SOE students

Class ED 610 Introduction to Curriculum and Instruction Summer 2018

Instructor:     Hsuehi(Martin) Lo

short link to this session: http://bit.ly/edad829

for online participation, please use the following Zoom or Adobe Connect session (your instructor will direct you which one:

  1. For Zoom, please use the following URL to login:
    https://zoom.us/j/4684903124

My name is Plamen Miltenoff and I will be leading your digital literacy instruction today: Here is more about me: http://web.stcloudstate.edu/pmiltenoff/faculty/ and more about the issues we will be discussing today: http://blog.stcloudstate.edu/ims/
As well as my email address for further contacts: pmiltenoff@stcloudstate.edu

Here is a preliminary plan. We will not follow it strictly; it is just an idea about the topics we would like to cover. Shall there be points of interest, please feel free to contribute prior and during the session.

Keeping in mind the ED 610 Learning Goals and Objectives, namely:

  1. Understand and demonstrate how to write literature review in the field of the C&I research
  2. Understand the related research methods in both quantitative and qualitative perspectives from the explored research articles
  3. Understand how to use searching engine to find meaningful articles
  4. Interpret and do critical thinking in C&I research articles

lets review our search and research skills:

  1. How do we search?
    1. Google and Google Scholar (more focused, peer reviewed, academic content)
    2. Digg http://digg.com/, Reddit https://www.reddit.com/ , Quora https://www.quora.com/
    3. SCSU Library search, Google, Professional organization, (NASSP), Stacks of magazines, csu library info, but need to know what all of the options mean on that page
  2. Custom Search Engine:
    http://blog.stcloudstate.edu/ims/2017/11/17/google-custom-search-engine/
  3. Basic electronic (library) search information and strategies. Library research services

https://www.semanticscholar.org/

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PICO framework to structure a question:
Population, Patient, Problem
Intervention
Comparison
Outcome

prepare systematic review

  1. Subject Guides
    Please locate theEducation (Elementary)
    Education (Secondary)
    Educational Administration and Leadership (Doctoral)
    Educational Administration and Leadership (Masters)
    at the LRS web page:
    http://lrts.stcloudstate.edu/library/default.asp
    library research guide
    Look for “Research Assistance” and scroll to
    Educational Administration and Leadership or any of the four links related to education
    http://research.stcloudstate.edu/rqs.phtml?subject_id=122
  2. Electronic Journals & the DOI System

    What is a DOI? A Digital Object Identifier (DOI) is assigned to electronic journal articles (and selected other online content) to specifically and permanently identify and access that article. Most of the standard academic citation formats now require the inclusion of DOIs within a citation when available.

    How to find a DOI:   Most current academic journal articles include a DOI (usually listed on the first page of the article).  Most library databases list a DOI with the record for recent academic journal articles.  Most non-academic articles (including magazine and newspaper articles) as well as many older academic journal articles do not have a DOI.  Crossref.org provides a DOI Lookup service that will search for a DOI based on citation information (author’s last name, journal name, article title, etc.).

    How to access an article via a DOI: Use the CSU Stanislaus Library DOI Look-up for options provided by the library, including access to the full-text via the publisher’s site or a library database service when available. Other, general DOI look-up systems (CrossRef & DOI.org) usually link to the article’s “homepage” on the publisher’s site (which usually include a free abstract but full-text access is restricted to subscribers).

  3. What is ORCID: http://orcid.org/register

shall more info be needed and or “proper” session with a reference librarian be requested. http://stcloud.lib.mnscu.edu/subjects/guide.php?subject=EDAD-D

-Strategies for conducting advanced searches (setting up filters and search criteria)

Filters

filters

 

 

 

 

 

 

 

 

 

 

 

 

 

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Search criteria

search_criteria

 

 

 

 

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  1. Books and Video
  2. Articles and databases
  3. Journal Title and Citation Finder
  4. Reference and Facts
  5. Institutional Repository
SCSU library web page snapshot with link to repository

SCSU library web page snapshot with link to repository

  1. Simple versus Advanced Search
  2. Interlibrary Loan ILL http://lrts.stcloudstate.edu/library/services/illrequest.asp
  3. Ways to find research specific to doctoral student needs (ie: Ways to find dissertations, peer reviewed research sources, research-related information, etc.)
  4. Understand the responsibilities of authorship including copyright, intellectual property, and discipline-based expectations
  5. Basic Research Resources-Jan 2015 version edit pmConcept mapping:
    http://blog.stcloudstate.edu/ims/?s=concept+map
  6. Explore and select citation management software to organize bibliographic information
  7. Refworks: https://www.refworks.com/refworks2/default.aspx?r=authentication::init&groupcode=RWStCloudSU
  8. Alternatives to Refworks (currently retired):
    1. Zotero, Mendeley, Endnote
    2. Fast and easy bibliographic tools:
      http://blog.stcloudstate.edu/ims/2013/12/06/bibliographic-tools-fast-and-easy/
  1. -Setting up social networking to gather articles and other research information
    slide 9 of the PPT Basic Research Resources

Social media and its importance for the topic research and the dissertation research:

Small business owners use social media primarily as a marketing and search engine optimization tool. However, more and more small businesses are using social media to get answers for business related questions. Specific industry related articles, and statistics are found useful for small business owners in 80% of the cases.
https://www.linkedin.com/today/post/article/20140331225132-25026422-small-business-owners-turning-to-social-media

Altmetricshttp://blog.stcloudstate.edu/ims/2017/10/23/altmetrics-library-lily-troia/

  1. Collaborative Tools
  2. Apps Anywhere (need installation of Citrix Receiver):

 

  1. File/Web space: https://webfs.stcloudstate.edu/main/default.aspx
  2. Dropbox:  https://www.dropbox.com/
  3. Web 2.0 tools: e.g. Diigo.com; Evernote.com
  4. Facebook, Twitter
  5. Blog.stcloudstate.edu

Other sources for information:
http://blog.stcloudstate.edu/ims/2017/01/27/research-how-to/

Academic.com and ResearchGate

  1. -Saving articles, saving quotes and other article information

Blogs – use tags

hands-on exercise:

learn how to use Zotero and/or Refworks in Microsoft Word

dissertation zotero
and/or
Refworks and/or Mendeley in Google Docs RefWorks ProQuest

 

 

Google Doc ProQuest RefWorks

 

Login into ProQuest Refworks AddOn for Google Doc:

login refworks google doc-y80ulf

Zotero, Mendeley, Refworks
Evernote, Diigo

If Twitter, Facebook or LinkedIn, use hashtags

  1. Share any other research-related resources available through the library or other sources

—————-
Plamen Miltenoff, Ph.D., MLIS
Professor
320-308-3072
pmiltenoff@stcloudstate.edu
http://web.stcloudstate.edu/pmiltenoff/faculty/
pedagogues under a minute: http://www.pinterest.com/pin/178173728981990450/

Save

bibliographical data analysis nVivo

Bibliographical data analysis with Zotero and nVivo

Bibliographic Analysis for Graduate Students, EDAD 518, Fri/Sat, May 15/16, 2020

This session will not be about qualitative research (QR) only, but rather about a modern 21st century approach toward the analysis of your literature review in Chapter 2.

However, the computational approach toward qualitative research is not much different than computational approach for your quantitative research; you need to be versed in each of them, thus familiarity with nVivo for qualitative research and with SPSS for quantitative research should be pursued by any doctoral student.

Qualitative Research

Here a short presentation on the basics:

http://blog.stcloudstate.edu/ims/2019/03/25/qualitative-analysis-basics/

Further, if you wish to expand your knowledge, on qualitative research (QR) in this IMS blog:

http://blog.stcloudstate.edu/ims?s=qualitative+research

Workshop on computational practices for QR:

http://blog.stcloudstate.edu/ims/2017/04/01/qualitative-method-research/

Here is a library instruction session for your course
http://blog.stcloudstate.edu/ims/2020/01/24/digital-literacy-edad-828/

Once you complete the overview of the resources above, please make sure you have Zotero working on your computer; we will be reviewing the Zotero features before we move to nVivo.

Here materials on Zotero collected in the IMS blog:
http://blog.stcloudstate.edu/ims?s=zotero

Of those materials, you might want to cover at least:

https://youtu.be/ktLPpGeP9ic

Familiarity with Zotero is a prerequisite for successful work with nVivo, so please if you are already working with Zotero, try to expand your knowledge using the materials above.

nVivo

http://blog.stcloudstate.edu/ims/2017/01/11/nvivo-shareware/

Please use this link to install nVivo on your computer. Even if we were not in a quarantine and you would have been able to use the licensed nVivo software on campus, for convenience (working on your dissertation from home), most probably, you would have used the shareware. Shareware is fully functional on your computer for 14 days, so calculate the time you will be using it and mind the date of installation and your consequent work.

For the purpose of this workshop, please install nVivo on your computer early morning on Saturday, May 16, so we can work together on nVivo during the day and you can continue using the software for the next two weeks.

Please familiarize yourself with the two articles assigned in the EDAD 815 D2L course content “Practice Research Articles“ :

Brosky, D. (2011). Micropolitics in the School: Teacher Leaders’ Use of Political Skill and Influence Tactics. International Journal of Educational Leadership Preparation, 6(1). https://eric.ed.gov/?id=EJ972880

Tooms, A. K., Kretovics, M. A., & Smialek, C. A. (2007). Principals’ perceptions of politics. International Journal of Leadership in Education, 10(1), 89–100. https://doi.org/10.1080/13603120600950901

It is very important to be familiar with the articles when we start working with nVivo.

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How to use Zotero

http://blog.stcloudstate.edu/ims/2020/01/27/zotero-workshop/

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How to use nVivo for bibliographic analysis

The following guideline is based on this document:

Bibliographical data analysis using Nvivo

whereas the snapshots are replaced with snapshots from nVivol, version 12, which we will be using in our course and for our dissertations.

Concept of bibliographic data

Bibliographic Data is an organized collection of references to publish in literature that includes journals, magazine articles, newspaper articles, conference proceedings, reports, government and legal publications. The bibliographical data is important for writing the literature review of a research. This data is usually saved and organized in databases like Mendeley or Endnote. Nvivo provides the option to import bibliographical data from these databases directly. One can import End Note library or Mendeley library into Nvivo. Similar to interview transcripts, one can represent and analyze bibliographical data using Nvivo. To start with bibliographical data representation, this article previews the processing of literature review in Nvivo.

Importing bibliographical data

Bibliographic Data is imported using Mendeley, Endnote and other such databases or applications that are supported with Nvivo.  Bibliographical data here refers to material in the form of articles, journals or conference proceedings. Common factors among all of these data are the author’s name and year of publication. Therefore, Nvivo helps  to import and arrange these data with their titles as author’s name and year of publication. The process of importing bibliographical data is presented in the figures below.

import Zotero data in nVivo

 

 

 

 

select the appropriate data from external folder

select the appropriate data from external folder

step 1 create record in nVIvo

 

step 2 create record in nVIvo

step 3 create record in nVIvo

 

Coding strategies for literature review

Coding is a process of identifying important parts or patterns in the sources and organizing them in theme node. Sources in case of literature review include material in the form of PDF. That means literature review in Nvivo requires grouping of information from PDF files in the forms of theme nodes. Nodes directly do not create content for literature review, they present ideas simply to help in framing a literature review. Nodes can be created on the basis of theme of the study, results of the study, major findings of the study or any other important information of the study. After creating nodes, code the information of each of the articles into its respective codes.

Nvivo allows coding the articles for preparing a literature review. Articles have tremendous amount of text and information in the forms of graphs, more importantly, articles are in the format of PDF. Since Nvivo does not allow editing PDF files, apply manual coding in case of literature review.  There are two strategies of coding articles in Nvivo.

  1. Code the text of PDF files into a new Node.
  2. Code the text of PDF file into an existing Node. The procedure of manual coding in literature review is similar to interview transcripts.

Add Node to Cases

 

 

 

 

 

The Case Nodes of articles are created as per the author name or year of the publication.

For example: Create a case node with the name of that author and attach all articles in case of multiple articles of same Author in a row with different information. For instance in figure below, five articles of same author’s name, i.e., Mr. Toppings have been selected together to group in a case Node. Prepare case nodes like this then effortlessly search information based on different author’s opinion for writing empirical review in the literature.

Nvivo questions for literature review

Apart from the coding on themes, evidences, authors or opinions in different articles, run different queries based on the aim of the study. Nvivo contains different types of search tools that helps to find information in and across different articles. With the purpose of literature review, this article presents a brief overview of word frequency search, text search, and coding query in Nvivo.

Word frequency

Word frequency in Nvivo allows searching for different words in the articles. In case of literature review, use word frequency to search for a word. This will help to find what different author has stated about the word in the article. Run word frequency  on all types of sources and limit the number of words which are not useful to write the literature.

For example, run the command of word frequency with the limit of 100 most frequent words . This will help in assessing if any of these words remotely provide any new information for the literature (figure below).

Query Text Frequency

andword frequency search

and

word frequency query saved

Text search

Text search is more elaborative tool then word frequency search in Nvivo. It allows Nvivo to search for a particular phrase or expression in the articles. Also, Nvivo gives the opportunity to make a node out of text search if a particular word, phrase or expression is found useful for literature.

For example: conduct a text search query to find a word “Scaffolding” in the articles. In this case Nvivo will provide all the words, phrases and expression slightly related to this word across all the articles (Figure 8 & 9). The difference between test search and word frequency lies in generating texts, sentences and phrases in the latter related to the queried word.

Query Text Search

Coding query

Apart from text search and word frequency search Nvivo also provides the option of coding query. Coding query helps in  literature review to know the intersection between two Nodes. As mentioned previously, nodes contains the information from the articles.  Furthermore it is also possible that two nodes contain similar set of information. Therefore, coding query helps to condense this information in the form of two way table which represents the intersection between selected nodes.

For example, in below figure, researcher have search the intersection between three nodes namely, academics, psychological and social on the basis of three attributes namely qantitative, qualitative and mixed research. This coding theory is performed to know which of the selected themes nodes have all types of attributes. Like, Coding Matrix in figure below shows that academic have all three types of attributes that is research (quantitative, qualitative and mixed). Where psychological has only two types of attributes research (quantitative and mixed).

In this way, Coding query helps researchers to generate intersection between two or more theme nodes. This also simplifies the pattern of qualitative data to write literature.

+++++++++++++++++++

Please do not hesitate to contact me with questions, suggestions before, during or after our workshop and about ANY questions and suggestions you may have about your Chapter 2 and, particularly about your literature review:

Plamen Miltenoff, Ph.D., MLIS

Professor | 320-308-3072 | pmiltenoff@stcloudstate.edu | http://web.stcloudstate.edu/pmiltenoff/faculty/ | schedule a meeting: https://doodle.com/digitalliteracy | Zoom, Google Hangouts, Skype, FaceTalk, Whatsapp, WeChat, Facebook Messenger are only some of the platforms I can desktopshare with you; if you have your preferable platform, I can meet you also at your preference.

++++++++++++++
more on nVIvo in this IMS blog
http://blog.stcloudstate.edu/ims?s=nvivo

more on Zotero in this IMS blog
http://blog.stcloudstate.edu/ims?s=zotero

Digital Literacy EDAD 828

EDAD 828 – digital literacy instructions

Saturday, Jan 25, 2020, Dr. John Eller

    1. How (where from) do you receive your news? Do you think you are able to distinguish real news from fake news?
      1. Last year, researchers at Oxford Universityfound that 70 countries had political disinformation campaigns over two years.
        http://blog.stcloudstate.edu/ims/2020/01/20/bots-and-disinformation/
      2. according to Pew Research Center, 68 percent of American adults get their news from social media—platforms where opinion is often presented as fact.
        results of the international test revealed that only 14 percent of U.S. students were able to reliably distinguish between fact and opinion.

    http://blog.stcloudstate.edu/ims/2020/01/16/fake-news-prevention/

    News and Media Literacy (and the lack of) is not very different from Information Literacy

An “information literate” student is able to “locate, evaluate, and effectively use information from diverse sources.” See more About Information Literacy

    1. Developing Your Research Topic/Question

    Research always starts with a question.  But the success of your research also depends on how you formulate that question.  If your topic is too broad or too narrow, you may have trouble finding information when you search. When developing your question/topic, consider the following:

    • Is my question one that is likely to have been researched and for which data have been published?  Believe it or not, not every topic has been researched and/or published in the literature.
    • Be flexible.  Consider broadening or narrowing the topic if you are getting a limited number or an overwhelming number of results when you search. In nursing it can be helpful to narrow by thinking about a specific population (gender, age, disease or condition, etc.), intervention, or outcome.
    • Discuss your topic with your professor and be willing to alter your topic according to the guidance you receive.

    1. Getting Ready for Research
      Library Resources vs. the Internet
      How (where from) do you receive information about your professional interests?
      Advantages/disadvantages of using Web Resources

    Evaluating Web Resources

    1. Google or similar; Yahoo, Bing
    2. Google Scholar
    3. Reddit, Digg, Quora
    4. Wikipedia
    5. Become a member of professional organizations and use their online information
    6. Use the SCSU library page to online databases

    1. Building Your List of Keywords
      1. Why Keyword Searching?
        Why not just type in a phrase or sentence like you do in Google or Yahoo!?

        1. Because most electronic databases store and retrieve information differently than Internet search engines.
        2. A databases searches fields within a collection of records. These fields include the information commonly found in a citation plus an abstract (if available) and subject headings.  Search engines search web content which is typically the full text of sources.
      1. The bottom line: you get better results in a database by using effective keyword search strategies.
      2. To develop an effective search strategy, you need to:
    1. determine the key concepts in your topic and
    2. develop a good list of keyword synonyms.
      1. Why use synonyms?
        Because there is more than one way to express a concept or idea.  You don’t know if the article you’re looking for uses the same expression for a key concept that you are using.
      2. Consider: Will an author use:
    1. Hypertension or High Blood Pressure?
    2. Teach or Instruct?
    • Therapy or Treatment?

    Don’t get “keyword lock!”  Be willing to try a different term as a keyword. If you are having trouble thinking of synonyms, check a thesaurus, dictionary, or reference book for ideas.

    Keyword worksheet

  1. Library Resources
    How to find the SCSU Library Website
    SCSU online databases

    1. SCSU Library Web page

library

 

 

+++++!!!!!++++++++++

Test your knowledge:

******* !! *************

  1. Basic Research Skills

  1. Identifying a Scholarly Source

 

 

 

  1. Boolean Operators

  1. Databases

  1. How do you evaluate a source of information to determine if it is appropriate for academic/scholarly use.  There is no set “checklist” to complete but below are some criteria to consider when you are evaluating a source.
    1. ACCURACY
      1. Does the author cite reliable sources?
      2. How does the information compare with that in other works on the topic?
      3. Can you determine if the information has gone through peer-review?
      4. Are there factual, spelling, typographical, or grammatical errors?
    1. AUDIENCE
      1. Who do you think the authors are trying to reach?
      2. Is the language, vocabulary, style and tone appropriate for intended audience?
      3. What are the audience demographics? (age, educational level, etc.)
      4. Are the authors targeting a particular group or segment of society?
    1. AUTHORITY
      1. Who wrote the information found in the article or on the site?
      2. What are the author’s credentials/qualifications for this particular topic?
      3. Is the author affiliated with a particular organization or institution?
      4. What does that affiliation suggest about the author?
    1. CURRENCY
      1. Is the content current?
      2. Does the date of the information directly affect the accuracy or usefulness of the information?
    1. OBJECTIVITY/BIAS
      1. What is the author’s or website’s point of view?
      2. Is the point of view subtle or explicit?
      3. Is the information presented as fact or opinion?
      4. If opinion, is the opinion supported by credible data or informed argument?
      5. Is the information one-sided?
      6. Are alternate views represented?
      7. Does the point of view affect how you view the information?
    1. PURPOSE
      1. What is the author’s purpose or objective, to explain, provide new information or news, entertain, persuade or sell?
      2. Does the purpose affect how you view the information presented?
  1. External resources for research
    1. Academia.edu: https://www.academia.edu/
    2. ResearchGate: https://www.researchgate.net/
    3. Web of Science: https://publons.com/
    4. Web of Science:
    5. ProQuest Dissertations and Theses:
  2. Exporting bibliography records

Zotero. Zotero AddOn for Chrome and Firefox. Zotero for Microsoft Word. Zotero AddOn for Edublog.
Collecting references

  • through the Zotero AddOn for browsers
  • through “export RIS” file

RIS zotero

 

  1. InterLibrary Loan

  1. Copyright and Fair Use
    Author Rights and Publishing & Finding Author Instructions for Publishing in Scholarly Journals

    1. Plagiarism, academic honesty
  2. Writing Tips
  3. Dissemination of Research

Plamen Miltenoff, Ph.D., MLIS, Professor
320-308-3072
pmiltenoff@stcloudstate.edu
schedule a meeting: https://doodle.com/digitalliteracy
find my office: https://youtu.be/QAng6b_FJqs
http://web.stcloudstate.edu/pmiltenoff/faculty/

Digital fluency for new international graduate students

SHORT LINK TO THIS INFORMATION: http://bit.ly/scsugradstudies

with Melanie Guentzel, Director of Graduate Student Services, mjguentzel@stcloudstate.edu

when: Tue, Jan. 22, 2 PM
where: Plymouth campus on Zoom: https://minnstate.zoom.us/j/438287799
who: new international graduate students at SCSU

students in Engineering Management, Regulatory Affairs, and Applied Clinical Research.

Access the library from a distance: https://www.stcloudstate.edu/library/

Research and Writing Tips

Digital fluency

 

 

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