MARC details
000 -LEADER |
fixed length control field |
02055nab a22002777a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
PILC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20221123182410.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
181126s xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Transcribing agency |
MANILA TYTANA COLLEGES LIBRARY |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Weigold, Ingrid K. |
245 ## - TITLE STATEMENT |
Title |
Factor structure of the personal growth initiative scale- II : |
Remainder of title |
evidence of a bifactor model / |
Statement of responsibility, etc. |
Ingrid K. Weigold, Arne Weigold, Rebecca A. Boyle, Caitlin A. Martin-Wagar, Stephen Z. Antonucci |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Date of publication, distribution, etc. |
March 2018 |
336 ## - CONTENT TYPE |
Content type term |
text |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Journal of Counseling Psychology. |
Number of part/section of a work |
65 : 2, page 259-266 |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Personal growth initiative has been shown to be an important predictor of psychological health. It is currently measured by the Personal Growth Initiative Scale-II (PGIS-II), which consists of 4 interrelated factors. Past research across various samples has consistently selected the 4-factor model as the best fit for the data compared to single-factor and second-order models. However, its fit has typically been adequate (not strong), and, to date, no research has examined alternate factor structures, such as a bifactor solution. The current study examined 4 theoretically informed potential models-single-factor, 4-factor, second-order 4 factor, and bifactor-across 3 samples drawn from different populations: 223 college students, 307 Mechanical Turk participants, and 281 clinical therapy clients. Across all 3 samples, the bifactor model was the best fit for the data, and tests of multigroup invariance indicated this model was invariant through the scalar level. Finally, analyses of the explained common variance and percentage of uncontaminated correlations indicated that the PGIS-II can be appropriately modeled unidimensionally. |
521 ## - TARGET AUDIENCE NOTE |
Target audience note |
Psychology. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Personal growth initiative. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Personal Growth Initiative Scale-II |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bifactor. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Multigroup invariance. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Factor structure. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Articles |
998 ## - LOCAL CONTROL INFORMATION (RLIN) |
Cataloger's initials, CIN (RLIN) |
83108 |
First Date, FD (RLIN) |
141471 |