Conducting and evaluating multilevel studies : recommendations, resources, and a checklist
Gespeichert in:
| Autor*in: |
González-Romá, Vicente [verfasserIn] Hernández, Ana [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Organizational research methods - London [u.a.] : Sage, 1998, 26(2023), 4 vom: Okt., Seite 629-654 |
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| Übergeordnetes Werk: |
volume:26 ; year:2023 ; number:4 ; month:10 ; pages:629-654 |
| Links: |
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| DOI / URN: |
10.1177/10944281211060712 |
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| Katalog-ID: |
1871105730 |
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| 982 | |2 26 |1 00 |x DE-206 |b Multilevel methods allow researchers to investigate relationships that expand across levels (e.g., individuals, teams, and organizations). The popularity of these methods for studying organizational phenomena has increased in recent decades. Methodologists have examined how these methods work under different conditions, providing an empirical base for making sound decisions when using these methods. In this article, we provide recommendations, tools, resources, and a checklist that can be useful for scholars involved in conducting or assessing multilevel studies. The focus of our article is on two-level designs, in which Level-1 entities are neatly nested within Level-2 entities, and top-down effects are estimated. However, some of our recommendations are also applicable to more complex multilevel designs. | ||
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10.1177/10944281211060712 doi (DE-627)1871105730 (DE-599)KXP1871105730 DE-627 ger DE-627 rda eng González-Romá, Vicente verfasserin aut Conducting and evaluating multilevel studies recommendations, resources, and a checklist Vicente González-Romá and Ana Hernández 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier multilevel analysis (dpeaa)DE-206 multilevel structural equation modeling (dpeaa)DE-206 cross-level effects (dpeaa)DE-206 cross-level interaction (dpeaa)DE-206 multilevel mediation (dpeaa)DE-206 multilevel moderated mediation (dpeaa)DE-206 Hernández, Ana verfasserin (DE-588)1225957281 (DE-627)1746015462 aut Enthalten in Organizational research methods London [u.a.] : Sage, 1998 26(2023), 4 vom: Okt., Seite 629-654 Online-Ressource (DE-627)324657935 (DE-600)2029600-9 (DE-576)276556372 1552-7425 nnns volume:26 year:2023 number:4 month:10 pages:629-654 https://journals.sagepub.com/doi/pdf/10.1177/10944281211060712 Verlag lizenzpflichtig https://doi.org/10.1177/10944281211060712 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 26 2023 4 10 629-654 26 01 0206 4417432732 x1z 24-11-23 26 00 DE-206 Multilevel methods allow researchers to investigate relationships that expand across levels (e.g., individuals, teams, and organizations). The popularity of these methods for studying organizational phenomena has increased in recent decades. Methodologists have examined how these methods work under different conditions, providing an empirical base for making sound decisions when using these methods. In this article, we provide recommendations, tools, resources, and a checklist that can be useful for scholars involved in conducting or assessing multilevel studies. The focus of our article is on two-level designs, in which Level-1 entities are neatly nested within Level-2 entities, and top-down effects are estimated. However, some of our recommendations are also applicable to more complex multilevel designs. |
| spelling |
10.1177/10944281211060712 doi (DE-627)1871105730 (DE-599)KXP1871105730 DE-627 ger DE-627 rda eng González-Romá, Vicente verfasserin aut Conducting and evaluating multilevel studies recommendations, resources, and a checklist Vicente González-Romá and Ana Hernández 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier multilevel analysis (dpeaa)DE-206 multilevel structural equation modeling (dpeaa)DE-206 cross-level effects (dpeaa)DE-206 cross-level interaction (dpeaa)DE-206 multilevel mediation (dpeaa)DE-206 multilevel moderated mediation (dpeaa)DE-206 Hernández, Ana verfasserin (DE-588)1225957281 (DE-627)1746015462 aut Enthalten in Organizational research methods London [u.a.] : Sage, 1998 26(2023), 4 vom: Okt., Seite 629-654 Online-Ressource (DE-627)324657935 (DE-600)2029600-9 (DE-576)276556372 1552-7425 nnns volume:26 year:2023 number:4 month:10 pages:629-654 https://journals.sagepub.com/doi/pdf/10.1177/10944281211060712 Verlag lizenzpflichtig https://doi.org/10.1177/10944281211060712 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 26 2023 4 10 629-654 26 01 0206 4417432732 x1z 24-11-23 26 00 DE-206 Multilevel methods allow researchers to investigate relationships that expand across levels (e.g., individuals, teams, and organizations). The popularity of these methods for studying organizational phenomena has increased in recent decades. Methodologists have examined how these methods work under different conditions, providing an empirical base for making sound decisions when using these methods. In this article, we provide recommendations, tools, resources, and a checklist that can be useful for scholars involved in conducting or assessing multilevel studies. The focus of our article is on two-level designs, in which Level-1 entities are neatly nested within Level-2 entities, and top-down effects are estimated. However, some of our recommendations are also applicable to more complex multilevel designs. |
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10.1177/10944281211060712 doi (DE-627)1871105730 (DE-599)KXP1871105730 DE-627 ger DE-627 rda eng González-Romá, Vicente verfasserin aut Conducting and evaluating multilevel studies recommendations, resources, and a checklist Vicente González-Romá and Ana Hernández 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier multilevel analysis (dpeaa)DE-206 multilevel structural equation modeling (dpeaa)DE-206 cross-level effects (dpeaa)DE-206 cross-level interaction (dpeaa)DE-206 multilevel mediation (dpeaa)DE-206 multilevel moderated mediation (dpeaa)DE-206 Hernández, Ana verfasserin (DE-588)1225957281 (DE-627)1746015462 aut Enthalten in Organizational research methods London [u.a.] : Sage, 1998 26(2023), 4 vom: Okt., Seite 629-654 Online-Ressource (DE-627)324657935 (DE-600)2029600-9 (DE-576)276556372 1552-7425 nnns volume:26 year:2023 number:4 month:10 pages:629-654 https://journals.sagepub.com/doi/pdf/10.1177/10944281211060712 Verlag lizenzpflichtig https://doi.org/10.1177/10944281211060712 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2035 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 26 2023 4 10 629-654 26 01 0206 4417432732 x1z 24-11-23 26 00 DE-206 Multilevel methods allow researchers to investigate relationships that expand across levels (e.g., individuals, teams, and organizations). The popularity of these methods for studying organizational phenomena has increased in recent decades. Methodologists have examined how these methods work under different conditions, providing an empirical base for making sound decisions when using these methods. In this article, we provide recommendations, tools, resources, and a checklist that can be useful for scholars involved in conducting or assessing multilevel studies. The focus of our article is on two-level designs, in which Level-1 entities are neatly nested within Level-2 entities, and top-down effects are estimated. However, some of our recommendations are also applicable to more complex multilevel designs. |
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26 00 DE-206 Multilevel methods allow researchers to investigate relationships that expand across levels (e.g., individuals, teams, and organizations). The popularity of these methods for studying organizational phenomena has increased in recent decades. Methodologists have examined how these methods work under different conditions, providing an empirical base for making sound decisions when using these methods. In this article, we provide recommendations, tools, resources, and a checklist that can be useful for scholars involved in conducting or assessing multilevel studies. The focus of our article is on two-level designs, in which Level-1 entities are neatly nested within Level-2 entities, and top-down effects are estimated. However, some of our recommendations are also applicable to more complex multilevel designs Conducting and evaluating multilevel studies recommendations, resources, and a checklist Vicente González-Romá and Ana Hernández multilevel analysis (dpeaa)DE-206 multilevel structural equation modeling (dpeaa)DE-206 cross-level effects (dpeaa)DE-206 cross-level interaction (dpeaa)DE-206 multilevel mediation (dpeaa)DE-206 multilevel moderated mediation (dpeaa)DE-206 |
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Conducting and evaluating multilevel studies |
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https://journals.sagepub.com/doi/pdf/10.1177/10944281211060712 https://doi.org/10.1177/10944281211060712 |
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