Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study

Marie C. Hansen; Brett D. Jones; Shaun M. Eack; Louise Birkedal Glenthøj; Satoru Ikezawa; Tatsuro Iwane; Sean A. Kidd; Martin Lepage; Jean Pierre Lindenmayer; Isidora Ljuri; Keiko Maida; Yasuhiro Matsuda; Kazuyuki Nakagome; Merete Nordentoft; Veronica Ozog; Danielle Penney; Alice M. Saperstein; Atsuko Sunaga; Sophia Vinogradov; Gursharan Virdee; Jessica A. Wojtalik; Alice Medalia

doi:10.1016/j.schres.2018.11.037

Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study

Marie C. Hansen, Brett D. Jones, Shaun M. Eack, Louise Birkedal Glenthøj, Satoru Ikezawa, Tatsuro Iwane, Sean A. Kidd, Martin Lepage, Jean Pierre Lindenmayer, Isidora Ljuri, Keiko Maida, Yasuhiro Matsuda, Kazuyuki Nakagome, Merete Nordentoft, Veronica Ozog, Danielle Penney, Alice M. Saperstein, Atsuko Sunaga, Sophia Vinogradov, Gursharan VirdeeJessica A. Wojtalik, Alice Medalia

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Aim: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC® Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. Methods: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. Results: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. Conclusion: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.

Original language	English (US)
Pages (from-to)	142-148
Number of pages	7
Journal	Schizophrenia Research
Volume	206
DOIs	https://doi.org/10.1016/j.schres.2018.11.037
State	Published - Apr 2019
Externally published	Yes

Bibliographical note

Funding Information:
Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314).

Funding Information:
Funding was provided by NIH grants MH-95783 , MH-92440 and MH100317-01 ; TrygFoundation (grant number ID 108119 ); The Danish Council for Independent Research (grant number DFF-4004-00314 ).

Funding Information:
Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314). The authors wish to thank Yiou Yang for her contribution to overall data organization, Maja Gregersen (for the back-translation of the Dutch version), and Lise Mariegaard (for data collection in Denmark). The authors also thank Dr. Yamamoto from National Hospital Organization Hanamaki Hospital, Dr. Kojima from Daigo Hospital, Dr. Iseki from Jonal Hospital, Dr. Katoh from Akita Prefecture Center for Rehabilitation and Psychiatric Medicine, Dr. Suzuki from Soubu Hospital, and Dr. Murao from Akojinsen Hospital.

Publisher Copyright:
© 2018 Elsevier B.V.

Keywords

Cognitive remediation
MUSIC Model of Motivation
Motivation
Schizophrenia
Skills training

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Hansen, M. C., Jones, B. D., Eack, S. M., Glenthøj, L. B., Ikezawa, S., Iwane, T., Kidd, S. A., Lepage, M., Lindenmayer, J. P., Ljuri, I., Maida, K., Matsuda, Y., Nakagome, K., Nordentoft, M., Ozog, V., Penney, D., Saperstein, A. M., Sunaga, A., Vinogradov, S., ... Medalia, A. (2019). Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study. Schizophrenia Research, 206, 142-148. https://doi.org/10.1016/j.schres.2018.11.037

Hansen, MC, Jones, BD, Eack, SM, Glenthøj, LB, Ikezawa, S, Iwane, T, Kidd, SA, Lepage, M, Lindenmayer, JP, Ljuri, I, Maida, K, Matsuda, Y, Nakagome, K, Nordentoft, M, Ozog, V, Penney, D, Saperstein, AM, Sunaga, A, Vinogradov, S, Virdee, G, Wojtalik, JA & Medalia, A 2019, 'Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study', Schizophrenia Research, vol. 206, pp. 142-148. https://doi.org/10.1016/j.schres.2018.11.037

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title = "Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study",

abstract = "Aim: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC{\textregistered} Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. Methods: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. Results: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. Conclusion: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.",

keywords = "Cognitive remediation, MUSIC Model of Motivation, Motivation, Schizophrenia, Skills training",

author = "Hansen, {Marie C.} and Jones, {Brett D.} and Eack, {Shaun M.} and Glenth{\o}j, {Louise Birkedal} and Satoru Ikezawa and Tatsuro Iwane and Kidd, {Sean A.} and Martin Lepage and Lindenmayer, {Jean Pierre} and Isidora Ljuri and Keiko Maida and Yasuhiro Matsuda and Kazuyuki Nakagome and Merete Nordentoft and Veronica Ozog and Danielle Penney and Saperstein, {Alice M.} and Atsuko Sunaga and Sophia Vinogradov and Gursharan Virdee and Wojtalik, {Jessica A.} and Alice Medalia",

note = "Funding Information: Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314). Funding Information: Funding was provided by NIH grants MH-95783 , MH-92440 and MH100317-01 ; TrygFoundation (grant number ID 108119 ); The Danish Council for Independent Research (grant number DFF-4004-00314 ). Funding Information: Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314). The authors wish to thank Yiou Yang for her contribution to overall data organization, Maja Gregersen (for the back-translation of the Dutch version), and Lise Mariegaard (for data collection in Denmark). The authors also thank Dr. Yamamoto from National Hospital Organization Hanamaki Hospital, Dr. Kojima from Daigo Hospital, Dr. Iseki from Jonal Hospital, Dr. Katoh from Akita Prefecture Center for Rehabilitation and Psychiatric Medicine, Dr. Suzuki from Soubu Hospital, and Dr. Murao from Akojinsen Hospital. Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",

year = "2019",

month = apr,

doi = "10.1016/j.schres.2018.11.037",

language = "English (US)",

volume = "206",

pages = "142--148",

journal = "Schizophrenia Research",

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T1 - Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders

T2 - A multinational study

AU - Hansen, Marie C.

AU - Jones, Brett D.

AU - Eack, Shaun M.

AU - Glenthøj, Louise Birkedal

AU - Ikezawa, Satoru

AU - Iwane, Tatsuro

AU - Kidd, Sean A.

AU - Lepage, Martin

AU - Lindenmayer, Jean Pierre

AU - Ljuri, Isidora

AU - Maida, Keiko

AU - Matsuda, Yasuhiro

AU - Nakagome, Kazuyuki

AU - Nordentoft, Merete

AU - Ozog, Veronica

AU - Penney, Danielle

AU - Saperstein, Alice M.

AU - Sunaga, Atsuko

AU - Vinogradov, Sophia

AU - Virdee, Gursharan

AU - Wojtalik, Jessica A.

AU - Medalia, Alice

N1 - Funding Information: Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314). Funding Information: Funding was provided by NIH grants MH-95783 , MH-92440 and MH100317-01 ; TrygFoundation (grant number ID 108119 ); The Danish Council for Independent Research (grant number DFF-4004-00314 ). Funding Information: Funding was provided by NIH grants MH-95783, MH-92440 and MH100317-01; TrygFoundation (grant number ID 108119); The Danish Council for Independent Research (grant number DFF-4004-00314). The authors wish to thank Yiou Yang for her contribution to overall data organization, Maja Gregersen (for the back-translation of the Dutch version), and Lise Mariegaard (for data collection in Denmark). The authors also thank Dr. Yamamoto from National Hospital Organization Hanamaki Hospital, Dr. Kojima from Daigo Hospital, Dr. Iseki from Jonal Hospital, Dr. Katoh from Akita Prefecture Center for Rehabilitation and Psychiatric Medicine, Dr. Suzuki from Soubu Hospital, and Dr. Murao from Akojinsen Hospital. Publisher Copyright: © 2018 Elsevier B.V.

PY - 2019/4

Y1 - 2019/4

N2 - Aim: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC® Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. Methods: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. Results: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. Conclusion: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.

AB - Aim: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC® Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. Methods: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. Results: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. Conclusion: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.

KW - Cognitive remediation

KW - MUSIC Model of Motivation

KW - Motivation

KW - Schizophrenia

KW - Skills training

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ER -

Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study

Abstract

Bibliographical note

Keywords

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