spss_output.html

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:24:33
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 组织氛围_c /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 工作投入_c /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.03
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:24:33

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	工作投入中心化, 年龄, 性别, 企业性质, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.316^a	.100	.083	.958	1.817
a. Predictors: (Constant), 工作投入中心化, 年龄, 性别, 企业性质, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	33.026	6	5.504	6.003	.000^b
	Residual	297.974	325	.917
	Total	331.000	331
b. Predictors: (Constant), 工作投入中心化, 年龄, 性别, 企业性质, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	.482	.451		1.068	.286	-.406	1.370
	性别	.014	.106	.007	.131	.896	-.194	.222	.992	1.008
	年龄	.040	.044	.052	.923	.357	-.046	.126	.883	1.133
	学历	.016	.056	.018	.277	.782	-.095	.126	.655	1.526
	工作岗位	-.097	.054	-.123	-1.791	.074	-.204	.010	.584	1.713
	企业性质	-.155	.081	-.124	-1.912	.057	-.315	.005	.654	1.528
	工作投入中心化	.271	.054	.271	5.009	.000	.164	.377	.948	1.055

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	工作投入中心化
1	1	5.479	1.000	.00	.00	.00	.00	.00	.00	.00
	2	1.003	2.337	.00	.00	.00	.00	.00	.00	.94
	3	.263	4.569	.00	.00	.07	.01	.30	.02	.01
	4	.124	6.647	.00	.15	.75	.00	.05	.04	.00
	5	.085	8.036	.01	.77	.12	.03	.06	.08	.00
	6	.035	12.426	.00	.00	.05	.55	.02	.57	.05
	7	.010	22.943	.99	.08	.00	.40	.56	.29	.00

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	-.82	.69	.00	.316	332
Residual	-2.805	1.872	.000	.949	332
Std. Predicted Value	-2.580	2.169	.000	1.000	332
Std. Residual	-2.930	1.955	.000	.991	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:24:33
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 组织氛围_c /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 工作投入_c 心理资本_c /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01
	Memory Required	9232 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:24:33

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	心理资本中心化, 性别, 企业性质, 年龄, 工作投入中心化, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.365^a	.133	.115	.941	1.799
a. Predictors: (Constant), 心理资本中心化, 性别, 企业性质, 年龄, 工作投入中心化, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	44.146	7	6.307	7.123	.000^b
	Residual	286.854	324	.885
	Total	331.000	331
b. Predictors: (Constant), 心理资本中心化, 性别, 企业性质, 年龄, 工作投入中心化, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	.468	.443		1.055	.292	-.404	1.340
	性别	.011	.104	.005	.103	.918	-.194	.215	.992	1.008
	年龄	.036	.043	.046	.836	.404	-.049	.120	.882	1.134
	学历	.009	.055	.010	.154	.878	-.100	.117	.654	1.528
	工作岗位	-.089	.053	-.112	-1.656	.099	-.194	.017	.583	1.717
	企业性质	-.140	.080	-.112	-1.756	.080	-.298	.017	.653	1.532
	工作投入中心化	.226	.055	.226	4.128	.000	.118	.333	.896	1.116
	心理资本中心化	.190	.054	.190	3.544	.000	.085	.296	.929	1.076

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	工作投入中心化	心理资本中心化
1	1	5.479	1.000	.00	.00	.00	.00	.00	.00	.00	.00
	2	1.256	2.089	.00	.00	.00	.00	.00	.00	.36	.37
	3	.748	2.706	.00	.00	.00	.00	.00	.00	.60	.62
	4	.262	4.576	.00	.00	.07	.01	.30	.02	.00	.00
	5	.124	6.649	.00	.15	.75	.00	.05	.04	.00	.00
	6	.085	8.039	.01	.77	.12	.03	.06	.08	.00	.00
	7	.035	12.447	.00	.00	.05	.55	.02	.57	.04	.00
	8	.010	22.944	.99	.08	.00	.40	.56	.29	.00	.00

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	-1.00	.89	.00	.365	332
Residual	-2.703	1.751	.000	.931	332
Std. Predicted Value	-2.726	2.425	.000	1.000	332
Std. Residual	-2.872	1.861	.000	.989	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:24:33
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 组织氛围_c /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 工作投入_c 心理资本_c 工作投入x心理资本 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01
	Memory Required	10080 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:24:33

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	工作投入x心理资本, 学历, 性别, 心理资本中心化, 工作投入中心化, 年龄, 企业性质, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.366^a	.134	.112	.942	1.805
a. Predictors: (Constant), 工作投入x心理资本, 学历, 性别, 心理资本中心化, 工作投入中心化, 年龄, 企业性质, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	44.281	8	5.535	6.236	.000^b
	Residual	286.719	323	.888
	Total	331.000	331
b. Predictors: (Constant), 工作投入x心理资本, 学历, 性别, 心理资本中心化, 工作投入中心化, 年龄, 企业性质, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	.468	.444		1.054	.292	-.405	1.342
	性别	.008	.104	.004	.074	.941	-.197	.213	.987	1.013
	年龄	.034	.043	.044	.799	.425	-.050	.119	.876	1.142
	学历	.009	.055	.011	.165	.869	-.100	.118	.654	1.530
	工作岗位	-.088	.054	-.111	-1.641	.102	-.193	.017	.582	1.718
	企业性质	-.141	.080	-.113	-1.761	.079	-.298	.016	.652	1.533
	工作投入中心化	.225	.055	.225	4.109	.000	.117	.333	.895	1.117
	心理资本中心化	.189	.054	.189	3.525	.000	.084	.295	.928	1.077
	工作投入x心理资本	.021	.055	.020	.391	.696	-.086	.129	.982	1.018

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	工作投入中心化	心理资本中心化	工作投入x心理资本
1	1	5.562	1.000	.00	.00	.00	.00	.00	.00	.00	.00	.00
	2	1.264	2.098	.00	.00	.00	.00	.00	.00	.34	.36	.02
	3	.911	2.471	.00	.00	.00	.00	.00	.00	.02	.01	.96
	4	.748	2.727	.00	.00	.00	.00	.00	.00	.59	.63	.00
	5	.260	4.622	.00	.00	.07	.01	.30	.02	.00	.00	.01
	6	.124	6.700	.00	.15	.75	.00	.05	.04	.00	.00	.00
	7	.084	8.127	.01	.77	.13	.03	.06	.08	.00	.00	.01
	8	.035	12.549	.00	.00	.05	.55	.02	.57	.04	.00	.00
	9	.010	23.117	.99	.08	.00	.40	.56	.29	.00	.00	.00

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	-.91	.94	.00	.366	332
Residual	-2.698	1.762	.000	.931	332
Std. Predicted Value	-2.500	2.573	.000	1.000	332
Std. Residual	-2.863	1.870	.000	.988	332