Learning Objective 
Chapter in Book 
Articles/Handouts 
Section I 
Preliminaries 
What is the typical format of a journal article? 
1 
HudsonBarr, 2004 
What are some essential questions to ask about every article you read? 
Essential Questions Handout
Wilkinson, 1999
Appelbaum, 2018 
Can you accurately evaluate the quality of the research methodology (brief review)? 
What are the strengths and weaknesses of descriptive, correlational, and experimental research? 

Methods & Threats to Validity Handout 
What are the most common threats to the external and internal validity of the research? 

What are some common means for controlling threats to validity of research? 

Do the variables assessed in the study reflect adequate psychometric properties? 
Reliability: sub types and acceptable levels. 
4 

Validity: sub types and acceptable levels. 

What do you know about moderating and mediating variables (round 1)?

What is the difference between a moderating vs. mediating variable? 

*MacKinnon, 2011 
Can you provide examples of each? 

Why should they be included in a study (reasons from MacKinnon)? 

Section II 
Can you accurately interpret common descriptive statistics and graphical means of reporting data? 
What are the different scales of measurement and how do they impact selection of stats? 
2 

What are the different measures of central tendency, variability, and distributional shape? When do you use each one and how do you interpret them? 
Havjovsky, 2017 
How do you interpret frequency distributions? 

How do you interpret a histogram? 
Watkins, 2015 
How do you interpret box plots? 
How do you interpret standard Scores (z & t)? 

How do you interpret the standard normal distribution and how does it relate to probability? 

Null hypothesis significance testing 
What is the purpose of null hypothesis significance testing? 
7 

How do you interpret NHST results? 

What are the alpha, beta, type I errors (round I), and type II errors? 

What are outliers? How do you detect them? What do you do with them? 
*Field partial chapter 

What are common assumptions for parametric statistics? 

Explain the concept of robustness and how it relates to the Central Limit Theorem. 

*Glass partial chapter 
Confidence Intervals 
What is sampling error? 
6 

What is standard error? 

How do you create a confidence interval? 

How do you interpret a CI? 
Jepson, 2006
Renshaw, 2016 
Effect Sizes 
What is the difference between statistical vs. practical significance? 
8 
*Ferguson, 2009 
Why are effect sizes important? 
What are the different “families” of effect sizes? 
How do you interpret different types of effect sizes (i.e. criteria for magnitude labels)? 
How do you calculate effect sizes if the article does not provide them? 
Effect size conversion handout
Converting different effect sizes link 
Power 
What is statistical power? 
8 
*Ellis, 2012 
Why is statistical power important? 
How do you calculate statistical power? Relate statistical power to type I and type II error rates. 
Type I error rates (round 2) 
What is meant by “inflated type I error risk?” 
8 

How do you control for inflated type I error risk? 

Section III 
Parametric stats
 determine the appropriateness of each statistic utilized given the research design and variables.
 determine if the assumptions for the statistic utilized were met.
 accurately interpret the statistical significance.
 accurately interpret and if necessary compute the practical significance (i.e., effect size).
 translate statistical results into applied implications.

Mean Differences 
ztest 
10 
Ain, 2016 
ttest for one sample 
10 
Cottrell, 2015 
ttest for two independent samples 
10 
Bude, 2012 
ttest for related scores 
10 
Segers, 2009 
1 factor ANOVA 
11 
January, 2012 
Post HOC &planned comparisons 
12 
Tuominen, 2008
MacQuarrie, 2002 
2 factor between groups ANOVA 
13 
Castro, 2014 
Moderation (round 2) 


1 factor within groups ANOVA 
14 
Rotgans, 2011
Christ, 2007 
Mixed factorial ANOVA 
14 
Iordanou, 2014
Schulte, 2001 
ANCOVA 
15 
Kant, 2017
Rogers, 2009 
MANOVA 
19 
Hallberg, 2017
McGrath, 2005 
Section IV 
Correlation 
Simple correlation 
3 & 9 
Lewis, 2017
McCormick, 2017
Arroyos, 2000 
Comparison of two correlation coefficients 
9 
Hosterman, 2008 
Partial correlation 
*Field, 2013 excerpt 
Wei, 2011
Andersson, 2008 
Mediation (round 2) 
*Jose, 2013 excerpt 

Regression 
16 
Simone, 2018 
Multiple regression (MR) 
16 
Gorman, 2002 
Simultaneous MR 
16 

Stepwise MR 
16 
Gutkin, 1984 
Hierarchical MR 
16 
Mayer, 2014
Kozan, 2016 
Moderation & mediation (round 3) 


Curvilinear regression 

Karabenick, 1988
Marsh, 2000 
Logistic regression 
16 
Blake, 2017
Martin, 2014 
Path analyses 

Assor, 2005
Braten, 2014 
Structural equation modeling 
21 
Keller, 2014
Rudasill, 2013 
Hierarchical linear modeling 
*Tabachnick, Ch. 15, 2013 
Cameron, 2008
Kunter, 2007 
Canonical correlation 
*Tabachnick, Ch. 12, 2013 
Wanders, 2007
Cano, 2009 
Discriminant analyses 
*Tabachnick, Ch. 9, 2013 
Ilmer, 1988
Hess, 2001 
Section V 
Nonparametric stats 
17 & 18 

Chisquared 
17 
Balazs, 2018 
Student nonparametric stats presentations 




