Learning Objective |
Chapter in Book |
Articles/Handouts |
Section I |
Preliminaries |
What is the typical format of a journal article? |
1 |
Hudson-Barr, 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 |
Statistics Primer Handout |
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 |
z-test |
10 |
Ain, 2016 |
t-test for one sample |
10 |
Cottrell, 2015 |
t-test for two independent samples |
10 |
Bude, 2012 |
t-test for related scores |
10 |
Segers, 2009 |
1 factor ANOVA |
11 |
January, 2012
LeChuga, 2015
|
Post HOC & planned comparisons |
12 |
Tuominen, 2008
Foley, 2009 |
2 factor between groups ANOVA |
13 |
Castro, 2014
Beilock, 2007 |
Moderation (round 2) |
|
|
1 factor within groups ANOVA |
14 |
Rotgans, 2011
Christ, 2007
MacQuarrie, 2002(Results only)
|
Mixed factorial ANOVA |
14 |
Iordanou, 2014
Schulte, 2001 |
ANCOVA |
15 |
Kant, 2017
Rogers, 2009 |
MANOVA |
19 |
Hallberg, 2017(Results only)
McGrath, 2005(Results only) |
Section IV |
Correlation/Prediction |
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
Lillard, 2012
|
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
Cromley, 2007
|
Structural equation modeling |
21 |
Archambault, 2013
Rudasill, 2013
Cromley, 2010 |
Canonical correlation |
*Tabachnick, Ch. 12, 2013 |
Wanders, 2007
Cano, 2009 |
Discriminant analyses |
*Tabachnick, Ch. 9, 2013 |
Haynie, 2001
Ilmer, 1988
Pascarella, 1981 |
Section V |
Nonparametric stats |
17 & 18 |
|
Chi-squared |
17 |
Balazs, 2018 |
Student nonparametric stats presentations |
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