Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness
We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as...
Ausführliche Beschreibung
Autor*in: |
Sitzmann, Traci [verfasserIn] Weinhardt, Justin M. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Schlagwörter: | |
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Schlagwörter: |
Übergeordnetes Werk: |
Enthalten in: Human resource management review - Amsterdam [u.a.] : Elsevier Science, 1991, 29, Seite 253-269 |
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Übergeordnetes Werk: |
volume:29 ; pages:253-269 |
DOI / URN: |
10.1016/j.hrmr.2017.04.001 |
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Katalog-ID: |
ELV001766775 |
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520 | |a We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. | ||
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2016 |
allfields |
10.1016/j.hrmr.2017.04.001 doi (DE-627)ELV001766775 (ELSEVIER)S1053-4822(17)30026-8 DE-627 ger DE-627 rda eng 85.05 bkl 85.63 bkl Sitzmann, Traci verfasserin (orcid)0000-0002-5629-2124 aut Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness 2016 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. 1.1\x Personalmanagement (DE-2867)12567-2 stw 1.2\x Theorie (DE-2867)19073-6 stw Training evaluation Training effectiveness Multilevel framework Nomological network Weinhardt, Justin M. verfasserin aut Enthalten in Human resource management review Amsterdam [u.a.] : Elsevier Science, 1991 29, Seite 253-269 Online-Ressource (DE-627)320052060 (DE-600)2026359-4 (DE-576)252902564 1053-4822 nnns volume:29 pages:253-269 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.05 Betriebssoziologie Betriebspsychologie 85.63 Arbeitsbeziehungen BIZ-04001 SKW AR 29 253-269 |
spelling |
10.1016/j.hrmr.2017.04.001 doi (DE-627)ELV001766775 (ELSEVIER)S1053-4822(17)30026-8 DE-627 ger DE-627 rda eng 85.05 bkl 85.63 bkl Sitzmann, Traci verfasserin (orcid)0000-0002-5629-2124 aut Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness 2016 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. 1.1\x Personalmanagement (DE-2867)12567-2 stw 1.2\x Theorie (DE-2867)19073-6 stw Training evaluation Training effectiveness Multilevel framework Nomological network Weinhardt, Justin M. verfasserin aut Enthalten in Human resource management review Amsterdam [u.a.] : Elsevier Science, 1991 29, Seite 253-269 Online-Ressource (DE-627)320052060 (DE-600)2026359-4 (DE-576)252902564 1053-4822 nnns volume:29 pages:253-269 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.05 Betriebssoziologie Betriebspsychologie 85.63 Arbeitsbeziehungen BIZ-04001 SKW AR 29 253-269 |
allfields_unstemmed |
10.1016/j.hrmr.2017.04.001 doi (DE-627)ELV001766775 (ELSEVIER)S1053-4822(17)30026-8 DE-627 ger DE-627 rda eng 85.05 bkl 85.63 bkl Sitzmann, Traci verfasserin (orcid)0000-0002-5629-2124 aut Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness 2016 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. 1.1\x Personalmanagement (DE-2867)12567-2 stw 1.2\x Theorie (DE-2867)19073-6 stw Training evaluation Training effectiveness Multilevel framework Nomological network Weinhardt, Justin M. verfasserin aut Enthalten in Human resource management review Amsterdam [u.a.] : Elsevier Science, 1991 29, Seite 253-269 Online-Ressource (DE-627)320052060 (DE-600)2026359-4 (DE-576)252902564 1053-4822 nnns volume:29 pages:253-269 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.05 Betriebssoziologie Betriebspsychologie 85.63 Arbeitsbeziehungen BIZ-04001 SKW AR 29 253-269 |
allfieldsGer |
10.1016/j.hrmr.2017.04.001 doi (DE-627)ELV001766775 (ELSEVIER)S1053-4822(17)30026-8 DE-627 ger DE-627 rda eng 85.05 bkl 85.63 bkl Sitzmann, Traci verfasserin (orcid)0000-0002-5629-2124 aut Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness 2016 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. 1.1\x Personalmanagement (DE-2867)12567-2 stw 1.2\x Theorie (DE-2867)19073-6 stw Training evaluation Training effectiveness Multilevel framework Nomological network Weinhardt, Justin M. verfasserin aut Enthalten in Human resource management review Amsterdam [u.a.] : Elsevier Science, 1991 29, Seite 253-269 Online-Ressource (DE-627)320052060 (DE-600)2026359-4 (DE-576)252902564 1053-4822 nnns volume:29 pages:253-269 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.05 Betriebssoziologie Betriebspsychologie 85.63 Arbeitsbeziehungen BIZ-04001 SKW AR 29 253-269 |
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10.1016/j.hrmr.2017.04.001 doi (DE-627)ELV001766775 (ELSEVIER)S1053-4822(17)30026-8 DE-627 ger DE-627 rda eng 85.05 bkl 85.63 bkl Sitzmann, Traci verfasserin (orcid)0000-0002-5629-2124 aut Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness 2016 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. 1.1\x Personalmanagement (DE-2867)12567-2 stw 1.2\x Theorie (DE-2867)19073-6 stw Training evaluation Training effectiveness Multilevel framework Nomological network Weinhardt, Justin M. verfasserin aut Enthalten in Human resource management review Amsterdam [u.a.] : Elsevier Science, 1991 29, Seite 253-269 Online-Ressource (DE-627)320052060 (DE-600)2026359-4 (DE-576)252902564 1053-4822 nnns volume:29 pages:253-269 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.05 Betriebssoziologie Betriebspsychologie 85.63 Arbeitsbeziehungen BIZ-04001 SKW AR 29 253-269 |
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Approaching evaluation from a multilevel perspective: A comprehensive analysis of the indicators of training effectiveness |
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We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. |
abstractGer |
We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. |
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We propose a multilevel framework that addresses the criteria that can be used to assess training effectiveness at the within-person, between-person, and macro levels of analysis. Specifically, we propose four evaluation taxa—training utilization, affect, performance, and financial impact—as well as the specific evaluation metrics that can be captured to examine the facets of each taxon. Our multilevel framework also clarifies the appropriate level of analysis for assessing each criterion variable and articulates when it appropriate to aggregate responses from a lower level of analysis to assess training effectiveness at a higher level of analysis. Finally, we illustrate how training evaluation criteria are interrelated because understanding constructs' nomological network is essential for gauging the depth of knowledge that can be inferred by any evaluation effort. |
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|
score |
7.3975515 |