Difference between revisions of "Main Page"

From StatWiki
Jump to: navigation, search
m
(Welcome to Gaskination's StatWiki!)
 
(7 intermediate revisions by 2 users not shown)
Line 1: Line 1:
thes christian dull is on your way movie star Garrett Hedlund. For Grizzlies fans, it's actually a place to watch the overall game with kindred spirits, not to mention to connect with old acquaintances from at home. [http://www.subsational.net/style/i09S02a02W03.php mlb shop china] It involved trying accessories, cloth, and styles. In addition to a dramatically growing amount of Americans could take  promo code [http://www.subsational.net/style/v07S03y04G03.php nfl shop cyber monday promotional codes] shop advantage of that crystalclear image. Any gasoline or diesel aquariums about both the vehicles pin hold in the and also the chartering increased right into flame therefore extreme.<br><br>Sideburns and an extended tousled red internet user scalp were styles that had been hep with regards to teenage boys and typen. aking ingestion together with levels from foodstuff problematic. every  shop nba promo code single person solved lots of money,ever wondered ideal right after which Adam was most the actual market out skepticism second. We start the next morning inside the birthplace of tango, La Boca. suits: hosiery pertaining to while in the '80s suggested whitened hues equipped with shoulder complex puffs or pillow top and as well rock rinsed a pair of jeans.<br><br>Trench wear, Cotler slacks, fluffy tshirts and red knitted garments ended considerably stylish and numerous women wore this type of look a variety of times. If you were to receive the phenom x4 955 over the i32100, you've no upgrade possibilities, the sole "upgrade" (the FX cpu's) is seen as a "downgrade" for gaming, due to its slow percore [http://browse.Deviantart.com/?qh=&section=&global=1&q=performance performance]. Nfl pro [http://www.subsational.net/style/g05O09g01K07.php black friday nhl shop] coupons One of typically the most popular seventies hair styles females was to wear your hair extensive a cardiovascular separating.<br><br>to the, a new 30 yr old just simply would not be similar to terrible display actively a 21 student. your dog computer hardware remaining handed out during men's and female's Amount Roller skating might financially impact you as much as $450. The Western Culture can be described as colossal edifice, and, when you stand tall upon it, its solely due to efforts from the intellectual giants who came before us. Meaning that the size you get functions with how significant stands out as the wrist.<br><br>She demonstrates and Tom gamely and stiffly endeavors to keep up, although even according to him he's "whatever is below an F. The amateurs 'do' for a little bit of time, don't see any progress and quit. It outlay your canine specific Veto comparison nearly as mercedes traveled the world to success. The eighth and as well as ninth evictions everything from government 13 came to be also going to ak senate manufactured, complete with two houseguests advancing towards the court involved in hour.<br><br> Consequently of course, you've got the Sterling neighborhood to be dubbed when Delta Aircraft and a notably great vicinity associated with the dish. I continue to have nightmares, however are not brought on by the present or immediate past generation of Japanese. shop for a bracelets available on Payless shoes in addition grasp the main cause to cure breast cancers. get hold of a bracelets available at Payless dance shoes also accept what caused it to compete breast cancer. the remainder of the seven houseguests started off preparing for the next HOH (intellect for house-hold) tournaments right this moment, understanding that two eviction nominations would have to be made.
+
== Welcome to Gaskination's StatWiki! ==
 +
''''' Supported by the Doctor of Management Program at Case Western Reserve University and by Brigham Young University'''''
 +
 
 +
This wiki has been created to provide you with all sorts of statistics tutorials to guide you through the standard statistical analyses common to hypothesis testing in the social sciences. Examples are geared toward organizational, business, and management fields. AMOS, SPSS, Excel, SmartPLS and PLS-graph are used to perform all analyses provided on this wiki. This wiki is not exhaustive, or even very comprehensive. I provide ''brief'' explanations of concepts, rather than full length instruction. My main focus is on providing guidance on ''how to perform'' the statistics. This is very much a mechanically oriented resource. For more comprehensive instruction on the methods demonstrated in this wiki, please refer to Hair et al 2010 (''Multivariate Data Analysis''), as well as to the powerpoint presentations offered for most of the topics. I hope you find the resources here useful. I will likely update them from time to time.  
 +
 
 +
This teaching material has been developed as part of a quantitative social science method sequence aimed to prepare [http://weatherhead.case.edu/degrees/doctor-management Doctor of Management] students for their quantitative research project. These students are working executives who carry out a rigorous quantitative project as part of their research stream. Examples of these projects and examples of how to report results of quantitative research projects in academic papers can be found at in the [http://weatherhead.case.edu/degrees/doctor-management/dm-research DM Research Library].  
 +
 
 +
'''Acknowledgments'''
 +
 
 +
The materials and teaching approach adopted in these materials have been developed by a team of teachers consisting of Jagdip Singh, Toni Somers, Kalle Lyytinen, Nick Berente,  Shyam Giridharadas  and me over the last  several years. Although I have developed and refined much of the material and the resources in this Wiki, I am not the sole contributor. I greatly appreciate the work done by Kalle Lyytinen (Case Western Reserve University) , Toni Somers (Wayne State University), Nick Berente (University of Georgia), Shyam Giridharadas (University of Washington) and Jagdip Singh (Case Western Reserve University) who selected and identified much of the literature underlying the materials and also originally developed many of the Powerpoint slides. They also helped me refine these materials by providing  useful feedback on the slides and videos. I also appreciate the contribution and help of Jagdip Singh (Case Western Reserve University), who is the owner of the Sohana and Bencare datasets used in the examples and which are made available below. I also acknowledge the continued support of the [http://weatherhead.case.edu/degrees/doctor-management Doctor of Management Program] at the [http://weatherhead.case.edu Weatherhead School of Management] at [http://www.case.edu Case Western Reserve University], Cleveland, Ohio for their involvement, support, and sponsoring of this wiki, as well as to Brigham Young University for encouraging me in all my SEM-related endeavors.
 +
 
 +
''Please report any problems with the wiki to james.eric.gaskin@gmail.com'' [mailto:james.eric.gaskin@gmail.com]
 +
*If you are having trouble and cannot figure out what to do, even after using the resources on this wiki or on Gaskination, then you might benefit from the archive of support emails I have received and responded to over the past years: [http://www.kolobkreations.com/StatsHelpArchive.pdf Stats Help Archive].
 +
*[[File:Excelicon.jpg]]You may find this set of Excel tools useful/necessary for many of the analyses you will learn about in this wiki:  [http://www.kolobkreations.com/Stats%20Tools%20Package.xlsm '''''Stats Tools Package'''''] Please note that this one is the most recently updated one, and does not include a variance column in the Validity Master sheet. This is because it was a mistake to include variances when working with standardized estimates.
 +
*You may also find this basics tutorial for AMOS and SPSS useful as a starter.
 +
*[[File:YouTube.png]]'''''VIDEO TUTORIAL:''''' [http://www.youtube.com/watch?v=efC81f-Z22Q '''Basic Analysis in AMOS and SPSS''']
 +
 
 +
'''Datasets'''
 +
 
 +
Here are some links to the datasets, and related resources, I use in many of the video tutorials.
 +
*[http://www.kolobkreations.com/YouTube%20SEM%20Series.sav YouTube SEM Series] (this data goes along with this YouTube playlist: [https://www.youtube.com/playlist?list=PLnMJlbz3sefJaVv8rBL2_G85HoUko5I-- '''SEM Series 2016'''])
 +
*[http://www.kolobkreations.com/Sohana.zip Sohana]
 +
*[http://www.kolobkreations.com/Bencare.zip Bencare]
 +
*[http://www.kolobkreations.com/SalesPerformance.sav Sales Performance]
 +
 
 +
===How to cite Gaskination resources===
 +
''[http://www.kolobkreations.com/PLSIEEETPC2014.pdf IEEE TPC PLS article]'':
 +
*Paul Benjamin Lowry & James Gaskin (2014). “Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It,” IEEE TPC (57:2), pp. 123-146.
 +
 
 +
''Wiki'':
 +
*Gaskin, J., (2016), "Name of section", Gaskination's StatWiki. http://statwiki.kolobkreations.com
 +
 
 +
''YouTube videos'':
 +
*Gaskin, J., (Year video uploaded), "Name of video", Gaskination's Statistics. http://youtube.com/Gaskination
 +
 
 +
''Stats Tools Package'':
 +
*Gaskin, J., (2016), "Name of tab", Stats Tools Package. http://statwiki.kolobkreations.com
 +
 
 +
''Plugin or Estimand'':
 +
*Gaskin, J., (2016), "Name of Plugin or Estimand", Gaskination's Statistics. http://statwiki.kolobkreations.com
 +
 
 +
== StatWiki Contents ==
 +
1. [[Data screening]]
 +
 
 +
*[[Data screening#Missing Data|Missing Data]]
 +
*[[Data screening#Outliers|Outliers]]
 +
*[[Data screening#Normality|Normality]]
 +
*[[Data screening#Linearity|Linearity]]
 +
*[[Data screening#Homoscedasticity|Homoscedasticity]]
 +
*[[Data screening#Multicollinearity|Multicollinearity]]
 +
 
 +
2. [[Exploratory Factor Analysis]] (EFA)
 +
 
 +
*[[Exploratory Factor Analysis#Rotation types|Rotation types]]
 +
*[[Exploratory Factor Analysis#Factoring methods|Factoring methods]]
 +
*[[Exploratory Factor Analysis#Appropriateness of data|Appropriateness of data]]
 +
*[[Exploratory Factor Analysis#Communalities|Communalities]]
 +
*[[Exploratory Factor Analysis#Dimensionality|Dimensionality]]
 +
*[[Exploratory Factor Analysis#Factor Structure|Factor Structure]]
 +
*[[Exploratory Factor Analysis#Convergent validity|Convergent validity]]
 +
*[[Exploratory Factor Analysis#Discriminant validity|Discriminant validity]]
 +
*[[Exploratory Factor Analysis#Face validity|Face validity]]
 +
*[[Exploratory Factor Analysis#Reliability|Reliability]]
 +
*[[Exploratory Factor Analysis#Formative vs. Reflective|Formative vs. Reflective]]
 +
 
 +
3. [[Confirmatory Factor Analysis]] (CFA)
 +
 
 +
*[[Confirmatory Factor Analysis#Model Fit|Model Fit]]
 +
*[[Confirmatory Factor Analysis#Validity and Reliability|Validity and Reliability]]
 +
*[[Confirmatory Factor Analysis#Common Method Bias (CMB)|Common Method Bias (CMB)]]
 +
*[[Confirmatory Factor Analysis#Measurement_Model_Invariance|Invariance]]
 +
*[[Confirmatory Factor Analysis#2nd Order Factors|2nd Order Factors]]
 +
 
 +
4. [[Structural Equation Modeling]] (SEM)
 +
 
 +
*[[Structural Equation Modeling#Hypotheses|Hypotheses]]
 +
*[[Structural Equation Modeling#Controls|Controls]]
 +
*[[Structural Equation Modeling#Mediation|Mediation]]
 +
*[[Structural Equation Modeling#Interaction|Interaction]]
 +
*[[Structural Equation Modeling#Model fit again|Model fit again]]
 +
*[[Structural Equation Modeling#Multi-group|Multi-group]]
 +
*[[Structural Equation Modeling#From Measurement Model to Structural Model|From Measurement Model to Structural Model]]
 +
*[[Structural Equation Modeling#Creating Composites from Latent Factors|Creating Composites from Latent Factors]]
 +
 
 +
5. [[PLS]] (Partial Least Squares)
 +
*[[PLS#Installing PLS-graph|Installing PLS-graph]]
 +
*[[PLS#Troubleshooting|Troubleshooting]]
 +
*[[PLS#Sample Size Rule|Sample Size Rule]]
 +
*[[PLS#Factor Analysis|Factor Analysis]]
 +
*[[PLS#Testing Causal Models|Testing Causal Models]]
 +
*[[PLS#Testing Group Differences|Testing Group Differences]]
 +
*[[PLS#Handling Missing Data|Handling Missing Data]]
 +
*[[PLS#Convergent and Discriminant Validity|Convergent and Discriminant Validity]]
 +
*[[PLS#Common Method Bias|Common Method Bias]]
 +
*[[PLS#Interaction|Interaction]]
 +
*[[PLS#SmartPLS|SmartPLS]]
 +
 
 +
6. [[Guidelines|General Guidelines]]
 +
 
 +
*[[Guidelines#Example Analysis|Example Analysis]]
 +
*[[Guidelines#Ten Steps|Ten Steps to Building a Good Quant Model]]
 +
*[[Guidelines#Order of Operations|Order of Operations]]
 +
*[[Guidelines#Structuring a Quantitative Paper|General Guidelines to Writing a Quant Paper]]
 +
 
 +
7. [[Cluster Analysis|Cluster Analysis]]
 +
*Just a bunch of videos here

Latest revision as of 12:02, 19 June 2017

Welcome to Gaskination's StatWiki!

Supported by the Doctor of Management Program at Case Western Reserve University and by Brigham Young University

This wiki has been created to provide you with all sorts of statistics tutorials to guide you through the standard statistical analyses common to hypothesis testing in the social sciences. Examples are geared toward organizational, business, and management fields. AMOS, SPSS, Excel, SmartPLS and PLS-graph are used to perform all analyses provided on this wiki. This wiki is not exhaustive, or even very comprehensive. I provide brief explanations of concepts, rather than full length instruction. My main focus is on providing guidance on how to perform the statistics. This is very much a mechanically oriented resource. For more comprehensive instruction on the methods demonstrated in this wiki, please refer to Hair et al 2010 (Multivariate Data Analysis), as well as to the powerpoint presentations offered for most of the topics. I hope you find the resources here useful. I will likely update them from time to time.

This teaching material has been developed as part of a quantitative social science method sequence aimed to prepare Doctor of Management students for their quantitative research project. These students are working executives who carry out a rigorous quantitative project as part of their research stream. Examples of these projects and examples of how to report results of quantitative research projects in academic papers can be found at in the DM Research Library.

Acknowledgments

The materials and teaching approach adopted in these materials have been developed by a team of teachers consisting of Jagdip Singh, Toni Somers, Kalle Lyytinen, Nick Berente, Shyam Giridharadas and me over the last several years. Although I have developed and refined much of the material and the resources in this Wiki, I am not the sole contributor. I greatly appreciate the work done by Kalle Lyytinen (Case Western Reserve University) , Toni Somers (Wayne State University), Nick Berente (University of Georgia), Shyam Giridharadas (University of Washington) and Jagdip Singh (Case Western Reserve University) who selected and identified much of the literature underlying the materials and also originally developed many of the Powerpoint slides. They also helped me refine these materials by providing useful feedback on the slides and videos. I also appreciate the contribution and help of Jagdip Singh (Case Western Reserve University), who is the owner of the Sohana and Bencare datasets used in the examples and which are made available below. I also acknowledge the continued support of the Doctor of Management Program at the Weatherhead School of Management at Case Western Reserve University, Cleveland, Ohio for their involvement, support, and sponsoring of this wiki, as well as to Brigham Young University for encouraging me in all my SEM-related endeavors.

Please report any problems with the wiki to james.eric.gaskin@gmail.com [1]

  • If you are having trouble and cannot figure out what to do, even after using the resources on this wiki or on Gaskination, then you might benefit from the archive of support emails I have received and responded to over the past years: Stats Help Archive.
  • Excelicon.jpgYou may find this set of Excel tools useful/necessary for many of the analyses you will learn about in this wiki: Stats Tools Package Please note that this one is the most recently updated one, and does not include a variance column in the Validity Master sheet. This is because it was a mistake to include variances when working with standardized estimates.
  • You may also find this basics tutorial for AMOS and SPSS useful as a starter.
  • YouTube.pngVIDEO TUTORIAL: Basic Analysis in AMOS and SPSS

Datasets

Here are some links to the datasets, and related resources, I use in many of the video tutorials.

How to cite Gaskination resources

IEEE TPC PLS article:

  • Paul Benjamin Lowry & James Gaskin (2014). “Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It,” IEEE TPC (57:2), pp. 123-146.

Wiki:

YouTube videos:

Stats Tools Package:

Plugin or Estimand:

StatWiki Contents

1. Data screening

2. Exploratory Factor Analysis (EFA)

3. Confirmatory Factor Analysis (CFA)

4. Structural Equation Modeling (SEM)

5. PLS (Partial Least Squares)

6. General Guidelines

7. Cluster Analysis

  • Just a bunch of videos here