2xk 2-factor between groups an ova · /de. here analy her approach eparate analy orary. t cases by...

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Page 1: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

2xk

with edifficexamscheThe d ProcThereeffec Initia

2-wa

Main

Initia Get unian / m / pr / pl / de

2-Factor

The purpoexam performulty as the ex

m problems (=dule showed dependent va

cess: e are a lot of

cts will require

al Analysis Get descr Determine Consider

ay Interactio Get 2-way

n Effects Get estim Why are t

al Analysis

descriptive

nova testperf

method = sstyprint descriptivot profile (pgesign = pg1e

Between G

ose of this stumance. Practxam problems=3). Different

the class meariable was pe

steps to a coe different sub

riptive meanse what effectswhat main ef

ons y cell means &

ated marginathe “Descriptiv

e means, plo

f by ar1y2n

pe(3) es 1e2h3s*ar1y2

e2h3s ar1y2

Groups AN

udy was to exice Difficulty w

s (=1), they wsections of th

eeting during werformance o

mplete analysbsets of these

, plots & F-tess are significaffects are likel

& follow-up a

al means & fove” and “Estim

ots & F-test

pg1e2h3s

2n) 2n pg1e2h3s

NOVA

xamine the relwas a 3-cond

were easier thhe course wewhich the exan an examina

sis of a 2-waye. Here’s a pre

sts ant ly to be intere

nalyses to de

llow-up analymated” margi

ts

s*ar1y2n.

lationships ofdition variable han the exam ere randomly aam review woation.

y design. Diffeview…

esting – based

escribe the 2-w

yses to descrinal means dif

lists DV order deteStatistics

corrects e get descr get plot o specify th

automatic

The “Descr The marginthe cell mea For exampl ( (44.00 * 10

f exam Review - practice prproblems (=2assigned to re

ould occur & s

ferent pattern

d on the aggr

way interactio

be each mainfferent ?

“by” IVs ermines left-ttable

each effect foriptive cell andof cell means he design inclcally calculate

riptive Statistic

nal means areans being agg

e, the margin

0) + (61.667

w Attendanceroblems were2), or they weeceive the thr

student’s atten

ns of significa

regations invo

on

n effect

to-right orderi

or all other effed marginal me(x-axis * “sepuding the intees from the IV

cs” are the ra

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nal mean for

* 6) ) / 16 = 5

e and Practicee either about ere more difficree difficulty lndance was r

nt and non-si

olved

ng of IVs in th

ects eans

parate lines” )eraction that iVs specified a

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y the different

the Easier Pr

50.625

e Difficulty the same

cult than the evels. The recorded.

gnificant

he Descriptive

s above)

ected” means

ial sizes of

ractDif is

e

.

Page 2: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

Fliwrpa

From the meaike Harder anwork best for treview, but Eapractice work attend the rev

We “all

ans and the pnd Same difficthose who doasier and Sambest for those

view.

have significaround” !

lots, it looks culty practice o attend the me difficulty e who do not

ant effects

Page 3: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

Consider what lower-order effects we will need to check for descriptive/misleading patterns Because of the significant 2-way, the means patterns of each main effect will have to be carefully checked against the corresponding simple effects to determine if they are descriptive or misleading. Remember, this will have to be done whether the main effect is significant or not – main effect nulls can be misleading! Consider what lower-order effects are likely to be interesting – based on the aggregations involved PractDif

These conditions are really pretty arbitrary. More importantly, it is unclear what population is represented by an average of those who attended and not attend

the review session! So, this main effect is only likely to be interesting if that main effect is descriptive, and so, it describes the

behavior of both those who did and did not attend the review. Attend the Review

This is a straightforward operationalization of a simple variable However, the marginal means are of dubious value, because the PractDif conditions are arbitrary, and so it is not

clear what population would be represented by the aggregate of the easier, harder, and similar difficulty performances

So, this main effect is only likely to be interesting if that main effect is descriptive, and so, it describes the behavior of those who practiced with similarly difficult, harder, and easier materials.

Remember – – non-significant lower-order effects that are involved in a significant higher order effect must be compared to the corresponding simple effects, to determine whether they are descriptive or misleading!!! 2-way Interaction Pairwise Comparisons You will usually want both sets of simple effects. One of those sets will be used to describe the pattern of the significant interaction. Each set will be used to determine if the corresponding main effect pattern is descriptive or misleading. Select the set of simple effects that most directly addresses the research question or research hypothesis The statement that, “We wanted to know if the relative difficulty of the practice material was related to test performance, and if this effect was different for those who did and did not attend the review session.” makes the selection of the simple effects to use to describe the interaction straightforward. From this, we’ll want to focus on the simple effect of practice difficulty (easier, harder, similar) and then examine how this simple effect is different those who did and did not attend the review session.

Page 4: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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Page 5: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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Page 6: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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Page 7: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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Page 8: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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Page 9: 2xk 2-Factor Between Groups AN OVA · /DE. Here analy her approach eparate analy orary. T CASES BY T FILE LAYE NOVA testpe SIGN = ar1y2 are the corre sis, to testing sim ses for each

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