spss-survival-manual-a-step-by-step-guide-to-data-analysis-using-spss-for-windows-3rd

353 Pages·2010·32.06 MB·English

SURVIVAL MANUAL

JULIE PALLANT
SPSS

Survival Manual

A Step by Step Guide to Data
Analysis using SPSS for Windows
third edition

Julis Pallant

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Contents

Peelace
Date files aud website
Irena sesso
Suuctas 2f eis Beaks Ue this backs Research ns
2 Aion ac ume

Pre One Getting started
Designing a stady
Plaurang the stays Chooesng appropriate 26
Pragesang-a quentinnaive
2 Treparing a codebook
Vara smioss Caing niorses Caxing open ended sestons
3 Gottng to now SUS
Starting SPSS; Opening em ex'ting data Ses Waking with das fee
SPSS wanewss Menus; Diaiogue bases Casieg SPSE, Seung, ely

are Ho. Proparing dhe dee
4) Croating a datafile and entering daca
hanging the SPSS ‘Options Delving te weichles Fatoring tay
‘Musivi the dara Ble Date eat uring lice, Merge les
‘sell SPR atari [sg ste
Sezeening and loaning che data
Step I: Checking for srroes Step 2 Tinding and
cover Ea data fe; Case sama

etieg the

Purt'thrae _Prstnnnary analyses
6 Descriptive statistics
‘Garegorieal YaHiables: Coatiauous Variables; Mining dates
Ascessiog normaly; Cecking fox outliers; Additional execies
vin arp 0 describ aad expore dhe data
Histrgraos; Bar gze.ahs Line prs ah: Sea

fons Hap

8
R

83

4“

as

tags chatens grap rope
Additunn sxcies
‘Manipulating cho dats 81
Ealcalating tal sale acess; ansfiriog warble

CCallpeig a eonnisuons verinble sto props: Collapsing he

umber of categeret a caagieeal vasiabley Altral eo

‘Checking the rckabilty of a scale os
Decals of examples Inerrtig ths outp fox ssp.
Preventing ce reste Seem celstlisy Sula se cies

Choosing che rgb erste +90
Overvie af sieve: atitisal eechuiyars The dacviansxeing
process Key Zracizes uf the mor ation tactniquess Sumac?

fbi of thy dunaetrsckce of ts matin sentcal mche

Fred _

ars and grephsine> Word dunia

Four Seitinical tedniquts tv explie rlaioashipe amnag variables 19
‘echnitses cover in Parl Foy Revi. of the bases
Corrlation 16

esl of excasple Polo’ sey aaalyac fo cones,
feuerpretatics of bapa from cocclatvns Paeseing ie seule
fiom cavvelations Obtaining relation orefSclncs heroes: g-oups

st vauiables Careparing ths careeliton caetceaes torte grove;
Tenn the eestenelsignificrnee che diersace between
orzledion snlfivientss Additonal sxereises
Parttaleneetation ve
als of exemple Interpraation of our foc: paral correlatvas,
Peeseniag res alts fan pustial crselation; Addins! exercise
‘Mulip: sopression ve
‘Majoe-ypes ol sntple zegeasion dasumptigas ol enllgle “egress
Tatil examples Seana zuipler-grssions aterpeeisn oF
‘outpefom stale skips ropressions [Rerarchies! multi
eens nrpwenstion 0 oxtpa: trom hetarehizal mpl zprossions
Decreutng the renin mip reprsevonsAedonal exe
eepession 166
mpons: Details f example; Data preparation: cxding of resporwess
ntecoeetaio 1 ons ees iio regeceong Proteniog the resus
rer leivie rose

19
in factor analy Peril. earpes Proosde for factor
taco of url; Peseming che resalts om factor
Conteta i

art Five Stoo! tehuigues in cana gent 201
luiques sorats? in Pa:c bees Aazections: Type? ex,
Dis acel irae tnndPasrs nage

erie, Missing dacs

36 Non pareranic stasis 10
Surety al eeiques coved inthis cnapters CH-sqnarss Kapps
‘Megence of Agrecsient; Mann Whitoay U Tan Wi'ansem Sia
Terk Tost Xatkal- Walle Teo Prisdman Tse, Sioned esetcses

ste 292

Ieslepeslestcnupley rae; Paabamp cs teeats bdinea, exersines

18 Onosray analysis of vtiance 22
Osecasy betwen gramps ANOVA wth poate wise Onssray
henseenaroaps ANOVA. wits placed vomoaciouns; One:

eat eneistres ANNOWAS Aulijnal exerbes

Theo- ray berwson-grenps ANOVA

Dense 2? exer cut avtpu Wo La way ANOVAS
‘raneriing rhe resus Som tre-wtey AICO WA; Add onal analyace
ifyom obtaw a egaicantSeteractioneffsy Adkanal eccies

20. Mien hetwesr-wthin eubjocteanalis of waranee 266
osc of exemsle neexpeeacion of output rom mised becreet
vwithiz ANOWA; Presoing the esas ftom mised beteoge-eichio
ANOVA

2 Moliviriae alysis of cariance 2s
Dosa of exexeplesPerfo-ming MANOWA;Ineecoreanou of ourpre
rom MANOVA, Feeseuting the -euls frup. MANOW: Action

”

Tae uf SOWA, fseumpons of ANCOVA, Oneavap ANCON
‘Resway ANCOVA

Appendix. Details o data fas
ere ce Materials for mrvey SED sev
Pere i Suelo expenin aR
Tae (2 Maria foe satharey SED sa
exe Di Materials dor slep35D 230
Pont: Masia fo depsese3ED sae

Recommend ein

Releres

tide
Preface

Dor may udinn tae shought of coupling a slaincs sublet, ot
sears in hair eeearc, fe casoraolen of sas gon Petaon. THe at
fof tie orginal SPSS Showa fava ‘published in 2009) waa 2a prov
siewpl, sep-by-sep guide vo tte proosse of dara atalsis woing SPSS, Urike
‘cher cticvcal tes, t di a: foeus on the sathoraateal urdersinnings of
dle esbuigues, i ner oe de apptecrate abe oF SPSB a6 a tool, Since the
publication othe firs to adiinnso® the SPSS Sap Mantel, haserceniced
cam bausleeds ot mas fran students wna bave been geteal Sort Spa,
feand Jor fel

"he wring apie appocuch bes bom incurpureted in ce chica edicon,
‘ohish feed = APSS Wesson LS, Thave risks nges oun sleet, iste
sons and resicwers to add s00 auany esata capca, bat instead Lave uprated
aul expanded ue existing materi, AM chapter bare been updated to etc
SPSS Centon 1S Talthongh cyest of the mantal is ase auitbie for users of
SPSS Vervious 32 aud J}, In rapaese to Sedu fou ozs of tae
ssficiona, hare added some adairio.al SPSS frre,
sing sets, andthe nse ef syaten, Adon einai
‘avs vn flea sve sats al posto: es, The chapter ext uo parsene
‘exiles ae bon expanded to rece te qeuwig use of ase echigs in
nove oisinlixe avn, urkeabaly bak, sede sd paycholays, Adio
manta w some athercasprcrs fg, Bector Analysis have hesa zai ta eure
that tee ecusamended procedores are up to date with developments :n che
bls and rcadrentats Loe publialion iu xasacel sour

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alle in P58, toate Tatars ramarchens night have bus elise.
Inetead, iri cosigved co get Fou sexed with poms “search and help yaa
vain vonflence inthe ast uf SPSS, Thece ace may wher axoellene suatitcek

fable cha: you shold slay te—supaatins are med cnroughort eh,

chapter ine book, Addirocal matrial is alse eveleble on tae Sook’ wobulte

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