Example of Communication Methods and Measures format
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Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format
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Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format Example of Communication Methods and Measures format
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open access Open Access
recommended Recommended

Communication Methods and Measures — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Communication #5 of 426 up up by 44 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 63 Published Papers | 600 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 08/06/2020
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Related Journals

open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 0.7
SJR: 0.25
SNIP: 1.245
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 5.3
SJR: 1.446
SNIP: 1.572
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 4.4
SJR: 1.758
SNIP: 2.592
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 8.4
SJR: 3.405
SNIP: 3.484

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

9.5

67% from 2019

CiteRatio for Communication Methods and Measures from 2016 - 2020
Year Value
2020 9.5
2019 5.7
2018 3.1
2017 2.8
2016 2.5
graph view Graph view
table view Table view

3.686

20% from 2019

SJR for Communication Methods and Measures from 2016 - 2020
Year Value
2020 3.686
2019 3.082
2018 0.996
2017 1.252
2016 1.058
graph view Graph view
table view Table view

3.762

24% from 2019

SNIP for Communication Methods and Measures from 2016 - 2020
Year Value
2020 3.762
2019 3.031
2018 0.794
2017 0.751
2016 1.372
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 67% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 20% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 24% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Communication Methods and Measures

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Taylor and Francis

Communication Methods and Measures

Approved by publishing and review experts on SciSpace, this template is built as per for Communication Methods and Measures formatting guidelines as mentioned in Taylor and Francis author instructions. The current version was created on 08 Jun 2020 and has been used by 426 authors to write and format their manuscripts to this journal.

Communication

Social Sciences

i
Last updated on
08 Jun 2020
i
ISSN
1931-2458
i
Impact Factor
High - 1.352
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Numbered
[25]
i
Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Journal Article DOI: 10.1080/19312450709336664
Answering the Call for a Standard Reliability Measure for Coding Data
Andrew F. Hayes1, Klaus Krippendorff2

Abstract:

In content analysis and similar methods, data are typically generated by trained human observers who record or transcribe textual, pictorial, or audible matter in terms suitable for analysis. Conclusions from such data can be trusted only after demonstrating their reliability. Unfortunately, the content analysis literature is... In content analysis and similar methods, data are typically generated by trained human observers who record or transcribe textual, pictorial, or audible matter in terms suitable for analysis. Conclusions from such data can be trusted only after demonstrating their reliability. Unfortunately, the content analysis literature is full of proposals for so-called reliability coefficients, leaving investigators easily confused, not knowing which to choose. After describing the criteria for a good measure of reliability, we propose Krippendorff's alpha as the standard reliability measure. It is general in that it can be used regardless of the number of observers, levels of measurement, sample sizes, and presence or absence of missing data. To facilitate the adoption of this recommendation, we describe a freely available macro written for SPSS and SAS to calculate Krippendorff's alpha and illustrate its use with a simple example. read more read less

Topics:

Reliability (statistics) (56%)56% related to the paper, Missing data (52%)52% related to the paper, Measure (data warehouse) (50%)50% related to the paper
View PDF
3,381 Citations
open accessOpen access Journal Article DOI: 10.1080/19312458.2012.679848
Advantages of Monte Carlo Confidence Intervals for Indirect Effects
Kristopher J. Preacher1, James P. Selig2

Abstract:

Monte Carlo simulation is a useful but underutilized method of constructing confidence intervals for indirect effects in mediation analysis. The Monte Carlo confidence interval method has several distinct advantages over rival methods. Its performance is comparable to other widely accepted methods of interval construction, it... Monte Carlo simulation is a useful but underutilized method of constructing confidence intervals for indirect effects in mediation analysis. The Monte Carlo confidence interval method has several distinct advantages over rival methods. Its performance is comparable to other widely accepted methods of interval construction, it can be used when only summary data are available, it can be used in situations where rival methods (e.g., bootstrapping and distribution of the product methods) are difficult or impossible, and it is not as computer-intensive as some other methods. In this study we discuss Monte Carlo confidence intervals for indirect effects, report the results of a simulation study comparing their performance to that of competing methods, demonstrate the method in applied examples, and discuss several software options for implementation in applied settings. read more read less

Topics:

Hybrid Monte Carlo (61%)61% related to the paper, Quasi-Monte Carlo method (61%)61% related to the paper, Monte Carlo integration (60%)60% related to the paper, Monte Carlo method (60%)60% related to the paper, Monte Carlo molecular modeling (60%)60% related to the paper
View PDF
1,165 Citations
Journal Article DOI: 10.1080/19312458.2020.1718629
Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But…
Andrew F. Hayes1, Jacob J. Coutts1

Abstract:

Cronbach’s alpha (α) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scal... Cronbach’s alpha (α) is a widely-used measure of reliability used to quantify the amount of random measurement error that exists in a sum score or average generated by a multi-item measurement scal... read more read less

Topics:

Cronbach's alpha (66%)66% related to the paper, Reliability (statistics) (54%)54% related to the paper
758 Citations
Journal Article DOI: 10.1080/19312450802458935
Item Parceling in Structural Equation Modeling: A Primer
Masaki Matsunaga1

Abstract:

This article provides a primer of the statistical technique called parceling, or aggregating items and using those aggregates as indicators of latent constructs, for structural equation modeling (SEM). First, two major types of parceling (subset-item-parcel and all-item-parcel approaches), alongside the traditional item-based... This article provides a primer of the statistical technique called parceling, or aggregating items and using those aggregates as indicators of latent constructs, for structural equation modeling (SEM). First, two major types of parceling (subset-item-parcel and all-item-parcel approaches), alongside the traditional item-based approach, are illustrated. Second, both pros and cons of parceling are explicated. Parceling provides psychometric and modeling-related benefits. Risks associated with parceling are also noted. Particularly, potential induction of estimation bias and model misspecification are pointed out. In relation to the latter problem, unidimensionality of the scale is highlighted as an important prerequisite for the use of parceling. Finally, issues of the number of parcels per factor and parcel-building algorithms are discussed. Forming three parcels per factor by the random algorithm is recommended. Suggestions and general guidelines for the use of item parceling for SEM are also provided. read more read less
580 Citations
Journal Article DOI: 10.1080/19312458.2011.624490
Goodbye, Listwise Deletion: Presenting Hot Deck Imputation as an Easy and Effective Tool for Handling Missing Data
Teresa A. Myers1

Abstract:

Missing data are a ubiquitous problem in quantitative communication research, yet the missing data handling practices found in most published work in communication leave much room for improvement. In this article, problems with current practices are discussed and suggestions for improvement are offered. Finally, hot deck impu... Missing data are a ubiquitous problem in quantitative communication research, yet the missing data handling practices found in most published work in communication leave much room for improvement. In this article, problems with current practices are discussed and suggestions for improvement are offered. Finally, hot deck imputation is suggested as a practical solution to many missing data problems. A computational tool for SPSS (Statistical Package for the Social Sciences) is presented that will enable communication researchers to easily implement hot deck imputation in their own analyses. read more read less

Topics:

Imputation (statistics) (74%)74% related to the paper, Listwise deletion (69%)69% related to the paper, Missing data (60%)60% related to the paper
View PDF
412 Citations
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Frequently asked questions

1. Can I write Communication Methods and Measures in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Communication Methods and Measures guidelines and auto format it.

2. Do you follow the Communication Methods and Measures guidelines?

Yes, the template is compliant with the Communication Methods and Measures guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Communication Methods and Measures?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Communication Methods and Measures citation style.

4. Can I use the Communication Methods and Measures templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Communication Methods and Measures.

5. Can I use a manuscript in Communication Methods and Measures that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Communication Methods and Measures that you can download at the end.

6. How long does it usually take you to format my papers in Communication Methods and Measures?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Communication Methods and Measures.

7. Where can I find the template for the Communication Methods and Measures?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Communication Methods and Measures's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Communication Methods and Measures's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Communication Methods and Measures an online tool or is there a desktop version?

SciSpace's Communication Methods and Measures is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Communication Methods and Measures?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Communication Methods and Measures?”

11. What is the output that I would get after using Communication Methods and Measures?

After writing your paper autoformatting in Communication Methods and Measures, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Communication Methods and Measures's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Communication Methods and Measures?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Communication Methods and Measures. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Communication Methods and Measures?

The 5 most common citation types in order of usage for Communication Methods and Measures are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Communication Methods and Measures?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Communication Methods and Measures's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Communication Methods and Measures in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Communication Methods and Measures Endnote style according to Elsevier guidelines.

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