A contrastive analysis of the factorial structure of the PCL-R: Which model fits best the data? | The European Journal of Psychology Applied to Legal Context

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A contrastive analysis of the factorial structure of the PCL-R: Which model fits best the data?

Análisis de contraste de la estructura factorial de la PCL-R: ¿qué modelo se ajusta mejor a los datos?

Beatriz Péreza, Juan Herreroa, Judith Velascob, Francisco Javier Rodriguez-Díaza

a University of Oviedo, Spain

b University of Santiago de Compostela, Spain

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Article information

ISSN: 18891861
Original language: English

DOI:10.1016/j.ejpal.2014.10.001

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2024 December	100	4	104
2024 November	118	8	126
2024 October	78	6	84
2024 September	114	16	130
2024 August	98	7	105
2024 July	86	4	90
2024 June	68	11	79
2024 May	85	9	94
2024 April	136	20	156
2024 March	167	14	181
2024 February	119	10	129
2024 January	177	11	188
2023 December	170	14	184
2023 November	250	15	265
2023 October	278	24	302
2023 September	160	16	176
2023 August	105	8	113
2023 July	141	10	151
2023 June	200	12	212
2023 May	225	22	247
2023 April	237	29	266
2023 March	179	12	191
2023 February	130	20	150
2023 January	127	21	148
2022 December	125	10	135
2022 November	119	20	139
2022 October	78	23	101
2022 September	53	27	80
2022 August	60	14	74
2022 July	55	22	77
2022 June	71	16	87
2022 May	79	16	95
2022 April	104	18	122
2022 March	74	10	84
2022 February	61	6	67
2022 January	93	17	110
2021 December	66	17	83
2021 November	62	15	77
2021 October	102	10	112
2021 September	79	13	92
2021 August	118	11	129
2021 July	124	15	139
2021 June	78	10	88
2021 May	105	11	116
2021 April	392	60	452
2021 March	340	23	363
2021 February	231	22	253
2021 January	126	17	143
2020 December	140	18	158
2020 November	127	10	137
2020 October	95	10	105
2020 September	81	77	158
2020 August	88	10	98
2020 July	85	4	89
2020 June	54	5	59
2020 May	87	14	101
2020 April	101	3	104
2020 March	109	4	113
2020 February	65	6	71
2020 January	23	1	24
2019 December	16	8	24
2019 November	6	4	10
2019 October	21	7	28
2019 September	34	6	40
2019 August	11	5	16
2019 July	16	11	27
2019 June	20	19	39
2019 May	112	14	126
2019 April	163	14	177
2019 March	141	16	157
2019 February	121	7	128
2019 January	100	16	116
2018 December	130	11	141
2018 November	164	8	172
2018 October	91	4	95
2018 September	203	1	204
2018 August	159	2	161
2018 July	127	6	133
2018 June	167	8	175
2018 May	165	3	168
2018 April	158	6	164
2018 March	160	14	174
2018 February	117	11	128
2018 January	124	7	131
2017 December	114	5	119
2017 November	165	3	168
2017 October	112	7	119
2017 September	127	8	135
2017 August	110	14	124
2017 July	192	6	198
2017 June	166	16	182
2017 May	226	9	235
2017 April	144	11	155
2017 March	218	11	229
2017 February	242	11	253
2017 January	144	9	153
2016 December	178	22	200
2016 November	275	32	307
2016 October	300	28	328
2016 September	446	31	477
2016 August	596	31	627
2016 July	277	29	306
2016 June	179	26	205
2016 May	188	34	222
2016 April	201	24	225
2016 March	221	26	247
2016 February	204	38	242
2016 January	175	33	208
2015 December	174	34	208
2015 November	184	38	222
2015 October	128	16	144
2015 September	121	10	131
2015 August	130	12	142
2015 July	401	6	407
2015 June	581	37	618
2015 May	640	53	693
2015 April	582	51	633
2015 March	741	45	786
2015 February	509	46	555
2015 January	438	73	511

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