IGROUP PRESENCE QUESTIONNAIRE (IPQ)

The Igroup Presence Questionnaire (IPQ) is a scale for measuring the sense of presence experienced in a virtual environment (VE). It has been constructed using a large pool of items and two survey waves with approximately 500 participants. It was originally constructed in German, but is now also available in English and Dutch.
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Common subjects

Cities

links

it-resource
microvision.blogspot.com/

igroup presence questionnaire (IPQ) Sample Factor Analysis

spss syntax

SORT CASES BY study .
SPLIT FILE
  SEPARATE BY study .

FACTOR
  /VARIABLES  g1 sp1 sp2 sp3 sp4 sp5 inv1 inv2 inv3 inv4 real1 real2 real3 real4
  /MISSING pairwise
  /ANALYSIS  g1 sp1 sp2 sp3 sp4 sp5 inv1 inv2 inv3 inv4 real1 real2 real3 real4
  /PRINT UNIVARIATE INITIAL KMO EXTRACTION ROTATION FSCORE
  /FORMAT SORT BLANK(.10)
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(3) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25) DELTA(0)
  /ROTATION OBLIMIN
  /METHOD=CORRELATION .

spss output

Descriptive Statistics

**Descriptive Statistics(a)**
	Mean	Std. Deviation	Analysis N	Missing N
G1	3,4898	1,8435	245	1
SP1	4,0293	2,0588	239	7
SP2	1,4813	1,6204	241	5
SP3	3,9835	1,8807	243	3
SP4	3,9794	1,8751	243	3
SP5	3,6557	1,8693	244	2
INV1	2,7500	1,7028	240	6
INV2	1,8797	1,8456	241	5
INV3	3,0123	1,7802	243	3
INV4	4,2387	1,6912	243	3
REAL1	2,9344	1,4698	244	2
REAL2	2,1440	1,7104	243	3
REAL3	1,7397	1,5387	242	4
REAL4	,7388	1,2696	245	1
a STUDY = PQI

KMO and Bartlett's Test

**KMO and Bartlett's Test(a)**
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		,864
Bartlett's Test of Sphericity	Approx. Chi-Square	1094,179
	df	91
	Sig.	,000
a STUDY = PQI

Communalities

**Communalities(a)**
	Initial	Extraction
G1	1,000	,677
SP1	1,000	,351
SP2	1,000	,478
SP3	1,000	,577
SP4	1,000	,733
SP5	1,000	,685
INV1	1,000	,556
INV2	1,000	,589
INV3	1,000	,612
INV4	1,000	,536
REAL1	1,000	,601
REAL2	1,000	,502
REAL3	1,000	,637
REAL4	1,000	,463
Extraction Method: Principal Component Analysis.
a STUDY = PQI

Total Variance Explained

**Total Variance Explained(b)**
	Initial Eigenvalues			Extraction Sums of Squared Loadings			Rotation Sums of Squared Loadings(a)
Component	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	Total
1	4,843	34,596	34,596	4,843	34,596	34,596	4,083
2	1,875	13,390	47,986	1,875	13,390	47,986	3,020
3	1,280	9,140	57,126	1,280	9,140	57,126	2,878
4	,817	5,834	62,960
5	,746	5,325	68,285
6	,712	5,088	73,374
7	,656	4,686	78,059
8	,581	4,153	82,213
9	,537	3,834	86,046
10	,509	3,635	89,681
11	,470	3,358	93,039
12	,407	2,904	95,944
13	,317	2,267	98,210
14	,251	1,790	100,000
Extraction Method: Principal Component Analysis.
a When components are correlated, sums of squared loadings cannot be added to obtain a total variance.
b STUDY = PQI

Scree plot ; study= pqi

Component Matrix

**Component Matrix(a,b)**
	Component
	1	2	3
G1	,800	-,149	-,123
SP4	,768	-,348	-,149
SP5	,728	-,355	-,169
SP3	,622	-,319	-,298
REAL1	-,616	,158	-,444
SP2	-,571	,253	,298
SP1	,551	-,118	-,183
REAL4	,538	,278	,309
INV1	,531	,513	-,103
INV3	-,439	-,637	,120
INV2	,489	,592
INV4	,457	,538	-,197
REAL3	,481		,630
REAL2	,495		,500
Extraction Method: Principal Component Analysis.
a 3 components extracted.
b STUDY = PQI

Pattern Matrix

**Pattern Matrix(a,b)**
	Component
	1	2	3
SP4	,809		,137
SP5	,801		,104
SP3	,794
SP2	-,720
G1	,688	,154	,153
SP1	,548	,110
INV3		-,802
INV2		,752
INV4		,726	-,109
INV1		,709
REAL3			,825
REAL2			,694
REAL1	-,203		-,683
REAL4		,399	,472
Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization.
a Rotation converged in 5 iterations.
b STUDY = PQI

Structure Matrix

**Structure Matrix(a)**
	Component
	1	2	3
SP4	,847	,229	,434
SP5	,821	,201	,394
G1	,793	,399	,457
SP3	,756	,178	,224
SP2	-,686	-,197	-,184
SP1	,583	,275	,244
INV3	-,186	-,780	-,149
INV2	,209	,762	,274
INV1	,307	,740	,234
INV4	,263	,724	,113
REAL3	,256	,149	,795
REAL1	-,456	-,208	-,753
REAL2	,305	,184	,708
REAL4	,270	,513	,564
Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization.
a STUDY = PQI

Component Correlation Matrix

**Component Correlation Matrix(a)**
Component	1	2	3
1	1,000	,299	,383
2	,299	1,000	,260
3	,383	,260	1,000
Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization.
a STUDY = PQI

STUDY = PQII