Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition

Florian Hintz; James M. McQueen; Antje S. Meyer

doi:10.5334/joc.340

Figures & Tables

Table 1

Descriptive statistics for the 19 tests.

	RJ	ALDT	SC	ASRT	ACRT	LC	VSRT	VCRT	DSF	DSB	CBF	CBB	PPVT	AP	IR	DART	SP	PG	RPM
Valid	272	279	278	280	276	271	281	279	281	278	277	276	281	280	281	278	281	281	278
Missing	9	2	3	1	5	10	0	2	0	3	4	5	0	1	0	3	0	0	3
Mean	–2.89	–2.94	–2.92	–2.32	–2.58	–2.99	–2.37	–2.61	8.32	7.04	8.31	7.59	174.93	0.77	0.77	0.23	0.57	0.69	0.58
SD	0.08	0.05	0.06	0.07	0.09	0.07	0.05	0.06	2.11	2.12	1.71	2.05	11.08	0.09	0.12	0.14	0.17	0.11	0.16
Skewness	–0.47	–0.61	–0.72	–0.94	–0.91	–0.07	–0.69	–0.78	0.28	0.10	0.07	0.13	–0.74	–0.55	–0.44	0.95	–0.36	0.02	–0.37
Kurtosis	0.02	0.40	1.08	2.59	0.95	–0.14	0.60	0.99	–0.62	–0.47	0.14	0.29	0.63	0.32	0.21	1.34	–0.32	–0.34	–0.07
Minimum	–3.14	–3.10	–3.17	–2.65	–2.92	–3.19	–2.55	–2.85	4.00	1.00	3	2	136	0.48	0.40	–0.03	0.10	0.40	0.14
Maximum	–2.72	–2.84	–2.80	–2.16	–2.42	–2.81	–2.25	–2.47	14	12	13	14	198	0.96	1.00	0.80	0.93	1.00	0.94
IC	0.94^a	0.96^a	0.94^a 0.95^a	0.92^a	0.96^a	0.96^a	0.87^a	0.95^a	0.72^b	0.72^b	0.59^b	0.69^b	0.91^b	0.59^b 0.44^b	0.25^b	0.92^b 0.93^b	0.78^b	0.69^b	0.85^b

[i] Note: RJ = Rhyme judgment, ALDT = Auditory lexical decision test, SC = Semantic categorisation, ASRT = Auditory simple reaction time, ACRT = Auditory choice reaction time, LC = Letter comparison, VSRT = Visual simple reaction time, VCRT = Visual choice reaction time, DSF = Digit Span forward, DSB = Digit Span backward, CBF = Corsi block forward, CBB = Corsi block backward, PPVT = Peabody Picture Vocabulary Test, AP = Antonym production, IR = Idiom recognition, DART = Dutch Author Recognition Test, SP = Spelling test, PG = Prescriptive grammar test, RPM = Raven’s Progressive Matrices, IC = Internal consistency. ^aICC3k calculated using the ICC() function of the psych R package. ^bCronbach’s Alpha, calculated using the cronbach.alpha() function of the ltm R package.

Pearson’s correlations between all 19 scores, represented as heatmap. Darker colours represent stronger correlations and lighter colours represent weaker correlations.

Outcome of network bootstrap procedure reflecting edge stability, betweenness, closeness, and strength.

Psychometric network for the components of spoken word recognition. The strength of unique associations is represented by the thickness of the edges (i.e., the connections between the nodes). Distance between the nodes does not relate to the relationship between them.

Table 2

Network model weights matrix listing partial correlations between nodes.

VARIABLE	RJ	ALDT	SC	ASRT	ACRT	LC	VSRT	VCRT	DSF	DSB	CBF	CBB	RAPM	PPVT	DART	SP	IR	PG	AP
RJ	0.000	0.322	0.275	0.000	0.031	0.148	0.000	0.033	0.000	0.031	0.000	0.000	0.000	0.026	0.000	0.000	0.009	0.000	0.000
ALDT	0.322	0.000	0.414	0.000	0.000	0.051	0.024	0.089	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
SC	0.275	0.414	0.000	0.000	0.027	0.013	0.014	0.201	0.000	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.016	0.003	–0.028
ASRT	0.000	0.000	0.000	0.000	0.310	0.000	0.279	0.093	0.000	0.006	0.000	0.000	0.009	0.000	0.000	0.000	0.000	0.000	0.023
ACRT	0.031	0.000	0.027	0.310	0.000	0.062	0.000	0.277	0.000	0.000	0.028	0.123	0.001	0.067	0.000	0.074	0.000	0.029	0.000
LC	0.148	0.051	0.013	0.000	0.062	0.000	0.000	0.082	0.119	0.000	0.043	0.000	0.005	0.000	0.000	0.090	0.000	0.000	0.000
VSRT	0.000	0.024	0.014	0.279	0.000	0.000	0.000	0.262	0.000	0.009	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000
VCRT	0.033	0.089	0.201	0.093	0.277	0.082	0.262	0.000	0.000	0.023	0.005	0.002	0.050	0.000	0.000	0.000	0.000	0.000	0.000
DSF	0.000	0.000	0.000	0.000	0.000	0.119	0.000	0.000	0.000	0.342	0.050	0.069	0.008	0.000	0.000	0.052	0.000	0.076	0.047
DSB	0.031	0.000	0.029	0.006	0.000	0.000	0.009	0.023	0.342	0.000	0.000	0.000	0.075	0.042	0.000	0.060	0.000	0.074	0.038
CBF	0.000	0.000	0.000	0.000	0.028	0.043	0.000	0.005	0.050	0.000	0.000	0.349	0.174	0.000	–0.008	0.000	0.000	0.000	0.000
CBB	0.000	0.000	0.000	0.000	0.123	0.000	0.075	0.002	0.069	0.000	0.349	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.000
RAPM	0.000	0.000	0.000	0.009	0.001	0.005	0.000	0.050	0.008	0.075	0.174	0.070	0.000	0.173	0.000	0.000	0.000	0.120	0.053
PPVT	0.026	0.000	0.000	0.000	0.067	0.000	0.000	0.000	0.000	0.042	0.000	0.000	0.173	0.000	0.288	0.000	0.084	0.200	0.283
DART	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	–0.008	0.000	0.000	0.288	0.000	0.204	0.155	0.068	0.138
SP	0.000	0.000	0.000	0.000	0.074	0.090	0.000	0.000	0.052	0.060	0.000	0.000	0.000	0.000	0.204	0.000	0.000	0.279	0.137
IR	0.009	0.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.084	0.155	0.000	0.000	0.040	0.128
PG	0.000	0.000	0.003	0.000	0.029	0.000	0.000	0.000	0.076	0.074	0.000	0.000	0.120	0.200	0.068	0.279	0.040	0.000	0.037
AP	0.000	0.000	–0.028	0.023	0.000	0.000	0.000	0.000	0.047	0.038	0.000	0.000	0.053	0.283	0.138	0.137	0.128	0.037	0.000

[i] Note: RJ = Rhyme judgment, ALDT = Auditory lexical decision test, SC = Semantic categorisation, ASRT = Auditory simple reaction time, ACRT = Auditory choice reaction time, LC = Letter comparison, VSRT = Visual simple reaction time, VCRT = Visual choice reaction time, DSF = Digit span forward, DSB = Digit Span backward, CBF = Corsi block forward, CBB = Corsi block backward, RAPM = Raven’s Advanced Progressive Matrices, PPVT = Peabody Picture Vocabulary Test, DART = Dutch Author Recognition Test, SP = Spelling test, IR = Idiom recognition, PG = Prescriptive grammar, AP = Antonym production.

Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition

Figures & Tables

Table 1

Figure 1

Figure 2

Figure 3

Table 2

Paradigm

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