Output

FREQUENCIES VARIABLES=d1 d2
  /ORDER=ANALYSIS.

Frequencies

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	FREQUENCIES VARIABLES=d1 d2 /ORDER=ANALYSIS.

Statistics
	Work arrangement	Tenure with the employer
Valid	360	360
Missing	0	0

Work arrangement
	Frequency	Percent	Valid Percent	Cumulative Percent
hybrid	185	51.4%	51.4%	51.4%
onsite	175	48.6%	48.6%	100.0%
Total	360	100.0%	100.0%

Tenure with the employer
	Frequency	Percent	Valid Percent	Cumulative Percent
over_five	95	26.4%	26.4%	26.4%
two_to_five	143	39.7%	39.7%	66.1%
under_two	122	33.9%	33.9%	100.0%
Total	360	100.0%	100.0%

RELIABILITY
  /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5
  /SCALE('job_autonomy') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	RELIABILITY /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5 /SCALE('job_autonomy') ALL /MODEL=ALPHA /SUMMARY=TOTAL.

Scale: job_autonomy

Case Processing Summary
	N	%
Valid	360	100.0%
Excluded	0	0.0%
Total	360	100.0%
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
	Cronbach's Alpha	Cronbach's Alpha Based on Standardized Items	N of Items
Value	.844	.844	5

Item-Total Statistics
	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item-Total Correlation	Cronbach's Alpha if Item Deleted
I have freedom to choose how to carry out my tasks.	11.794	11.384	.628	.818
I can decide the order of tasks during my workday.	11.853	11.006	.682	.803
I have discretion in choosing how to solve a work problem.	11.778	10.998	.651	.812
I can adapt my work method to the needs of a task.	11.886	10.786	.657	.810
I can make decisions about my day-to-day work.	11.911	11.179	.631	.817

RELIABILITY
  /VARIABLES=q2_1 q2_2 q2_3 q2_4 q2_5
  /SCALE('supervisor_support') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	RELIABILITY /VARIABLES=q2_1 q2_2 q2_3 q2_4 q2_5 /SCALE('supervisor_support') ALL /MODEL=ALPHA /SUMMARY=TOTAL.

Scale: supervisor_support

Case Processing Summary
	N	%
Valid	360	100.0%
Excluded	0	0.0%
Total	360	100.0%
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
	Cronbach's Alpha	Cronbach's Alpha Based on Standardized Items	N of Items
Value	.840	.840	5

Item-Total Statistics
	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item-Total Correlation	Cronbach's Alpha if Item Deleted
My supervisor is available when I need help.	12.072	10.429	.663	.802
My supervisor gives feedback that helps me in my work.	12.053	10.819	.653	.805
My supervisor takes the difficulties I raise seriously.	12.064	10.912	.619	.814
My supervisor supports me in dealing with workload.	12.014	11.000	.638	.809
I can rely on my supervisor when a professional difficulty arises.	12.108	10.643	.644	.807

RELIABILITY
  /VARIABLES=q3_1 q3_2 q3_3 q3_4 q3_5
  /SCALE('work_engagement') ALL
  /MODEL=ALPHA
  /SUMMARY=TOTAL.

Reliability

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	RELIABILITY /VARIABLES=q3_1 q3_2 q3_3 q3_4 q3_5 /SCALE('work_engagement') ALL /MODEL=ALPHA /SUMMARY=TOTAL.

Scale: work_engagement

Case Processing Summary
	N	%
Valid	360	100.0%
Excluded	0	0.0%
Total	360	100.0%
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
	Cronbach's Alpha	Cronbach's Alpha Based on Standardized Items	N of Items
Value	.861	.861	5

Item-Total Statistics
	Scale Mean if Item Deleted	Scale Variance if Item Deleted	Corrected Item-Total Correlation	Cronbach's Alpha if Item Deleted
I feel energetic while working.	12.656	10.906	.693	.829
I find my work tasks interesting.	12.667	11.181	.669	.835
I feel committed to putting effort into my work.	12.628	11.181	.686	.831
I am absorbed in my work while carrying out a task.	12.650	11.175	.652	.840
I feel enthusiastic about my work.	12.644	10.921	.697	.828

DESCRIPTIVES /VARIABLES=job_autonomy supervisor_support work_engagement
  /STATISTICS=ALL.

Descriptives

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	DESCRIPTIVES /VARIABLES=job_autonomy supervisor_support work_engagement /STATISTICS=ALL.

Descriptive Statistics
	N	Range	Minimum	Maximum	Sum	Mean		Std. Deviation	Variance	Skewness		Kurtosis
	N	Range	Minimum	Maximum	Sum	Statistic	Std. Error	Std. Deviation	Variance	Statistic	Std. Error	Statistic	Std. Error
Job autonomy	360		1.0000	4.8000		2.9611		0.8160		0.048		-0.423
Supervisor support	360		1.0000	4.8000		3.0156		0.8042		-0.199		-0.394
Work engagement	360		1.0000	5.0000		3.1622		0.8178		-0.128		-0.472
Valid N (listwise)

EXAMINE VARIABLES=job_autonomy
  /PLOT NPPLOT
  /STATISTICS NONE.
EXAMINE VARIABLES=work_engagement
  /PLOT NPPLOT
  /STATISTICS NONE.
EXAMINE VARIABLES=work_engagement BY d1
  /PLOT NPPLOT
  /STATISTICS NONE
  /NOTOTAL.

Explore

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	EXAMINE VARIABLES=job_autonomy /PLOT NPPLOT /STATISTICS NONE. EXAMINE VARIABLES=work_engagement /PLOT NPPLOT /STATISTICS NONE. EXAMINE VARIABLES=work_engagement BY d1 /PLOT NPPLOT /STATISTICS NONE /NOTOTAL.

Tests of Normality
	Kolmogorov-Smirnov			Shapiro-Wilk
	Statistic	df	Sig.	Statistic	df	Sig.
Job autonomy	.073	360	.000	.987	360	.002
hybrid	.073	185	.019	.984	185	.036
onsite	.062	175	.095	.986	175	.088
Work engagement	.065	360	.001	.987	360	.003
a. Lilliefors Significance Correction

Normal Q-Q Plot

Detrended Normal Q-Q Plot

Normal Q-Q Plot

Detrended Normal Q-Q Plot

Normal Q-Q Plot

Detrended Normal Q-Q Plot

CORRELATIONS /VARIABLES=job_autonomy work_engagement
  /PRINT=TWOTAIL SIG.

Correlations

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	CORRELATIONS /VARIABLES=job_autonomy work_engagement /PRINT=TWOTAIL SIG.

Correlations
		Job autonomy	Work engagement
Pearson Correlation	Job autonomy	1.000	.368
Pearson Correlation	Work engagement	.368	1.000
Sig. (2-tailed)	Job autonomy		.000^a
Sig. (2-tailed)	Work engagement	.000^a
N	Job autonomy	360	360
N	Work engagement	360	360
a. Significance adjusted for multiple comparisons: p = .000.

GRAPH /SCATTERPLOT(BIVAR)=job_autonomy WITH work_engagement.

Graph

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	GRAPH /SCATTERPLOT(BIVAR)=job_autonomy WITH work_engagement.

Scatterplot

REGRESSION /STATISTICS=COEFF CI(95) R ANOVA TOL
  /DEPENDENT=work_engagement
  /METHOD=ENTER supervisor_support job_autonomy
  /RESIDUALS DURBIN.

Regression

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	REGRESSION /STATISTICS=COEFF CI(95) R ANOVA TOL /DEPENDENT=work_engagement /METHOD=ENTER supervisor_support job_autonomy /RESIDUALS DURBIN.

Variables Entered/Removed (Work engagement)
	Variables Entered	Variables Removed	Method
1	supervisor_support, job_autonomy		Enter

Model Summary (Work engagement)
	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.527	.278	.274	0.6969	2.158

ANOVA (Work engagement)
	Sum of Squares	df	Mean Square	F	Sig.
Regression	66.746	2	33.373	68.717	.000^a
Residual	173.381	357	0.486
Total	240.126	359
a. Significance adjusted for multiple comparisons: p = .000.

Coefficients (Work engagement)
	Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
	B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
(Constant)	1.100	0.180		6.098	.000	0.745	1.454
supervisor_support	0.390	0.047	.384	8.389	.000	0.299	0.482	.967	1.034
job_autonomy	0.299	0.046	.298	6.526	.000	0.209	0.389	.967	1.034

T-TEST GROUPS=d1('Hybrid' 'Onsite')
  /VARIABLES=work_engagement.

T-Test

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	T-TEST GROUPS=d1('Hybrid' 'Onsite') /VARIABLES=work_engagement.

Group Statistics
	N	Mean	Std. Deviation	Std. Error Mean
Hybrid	185	3.2886	0.7840	0.0576
Onsite	175	3.0286	0.8337	0.0630

Independent Samples Test
		Levene's Test for Equality of Variances		t-test for Equality of Means
		F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
		F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	Lower	Upper
Equal variances assumed	Work engagement	0.357	.551	3.050	358	.002^a	0.260	0.085	0.092	0.428
Equal variances not assumed	Work engagement			3.045	353.170	.003	0.260	0.085	0.092	0.428
a. Significance adjusted for multiple comparisons: p = .003.

Independent Samples Effect Sizes
		Standardizer	Point Estimate	95% Confidence Interval
		Standardizer	Point Estimate	Lower	Upper
Cohen's d	Work engagement		0.322
Hedges' correction	Work engagement		0.321	0.113	0.528

GRAPH /BAR(SIMPLE)=MEAN(work_engagement) BY d1.

Graph

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	GRAPH /BAR(SIMPLE)=MEAN(work_engagement) BY d1.

Bar Chart

REGRESSION /STATISTICS=COEFF CI(95) R ANOVA TOL
  /DEPENDENT=work_engagement
  /METHOD=ENTER supervisor_support job_autonomy d1 d2
  /RESIDUALS DURBIN.

Regression

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	REGRESSION /STATISTICS=COEFF CI(95) R ANOVA TOL /DEPENDENT=work_engagement /METHOD=ENTER supervisor_support job_autonomy d1 d2 /RESIDUALS DURBIN.

Variables Entered/Removed (Work engagement)
	Variables Entered	Variables Removed	Method
1	supervisor_support, job_autonomy, d1, d2		Enter

Model Summary (Work engagement)
	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.554	.306	.297	0.6859	2.163

ANOVA (Work engagement)
	Sum of Squares	df	Mean Square	F	Sig.
Regression	73.593	5	14.719	31.287	.000^a
Residual	166.533	354	0.470
Total	240.126	359
a. Significance adjusted for multiple comparisons: p = .000.

Coefficients (Work engagement)
	Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
	B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
(Constant)	0.919	0.186		4.930	.000	0.552	1.285
supervisor_support	0.387	0.046	.380	8.433	.000	0.297	0.477	.964	1.038
job_autonomy	0.304	0.045	.303	6.683	.000	0.214	0.393	.953	1.049
d1=hybrid	0.265	0.073	.162	3.646	.000	0.122	0.409
d2=over_five	0.072	0.094	.039	0.760	.447	-0.114	0.258
d2=two_to_five	0.057	0.085	.034	0.671	.503	-0.110	0.224

Collinearity Diagnostics for Categorical Predictors
	GVIF^(1/Df)
d1	1.013
d2	1.012

FACTOR /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5 q2_1 q2_2 q2_3 q2_4 q2_5 q3_1 q3_2 q3_3 q3_4 q3_5
  /PRINT=INITIAL KMO EXTRACTION ROTATION
  /EXTRACTION=ULS
  /ROTATION=OBLIMIN
  /CRITERIA=FACTORS(3)
  /PLOT=EIGEN.

Factor Analysis

Notes
	Value
Data	data_analysis.sav
Active Dataset	DataSet1
Filter	<none>
Weight	<none>
Split File	<none>
N of Rows in Working Data File	360
Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics are based on all cases with valid data for the variables used.
Syntax	FACTOR /VARIABLES=q1_1 q1_2 q1_3 q1_4 q1_5 q2_1 q2_2 q2_3 q2_4 q2_5 q3_1 q3_2 q3_3 q3_4 q3_5 /PRINT=INITIAL KMO EXTRACTION ROTATION /EXTRACTION=ULS /ROTATION=OBLIMIN /CRITERIA=FACTORS(3) /PLOT=EIGEN.

KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
Approx. Chi-Square
df
Sig.

Communalities
	Initial	Extraction
I have freedom to choose how to carry out my tasks.		.486
I can decide the order of tasks during my workday.		.585
I have discretion in choosing how to solve a work problem.		.523
I can adapt my work method to the needs of a task.		.538
I can make decisions about my day-to-day work.		.485
My supervisor is available when I need help.		.560
My supervisor gives feedback that helps me in my work.		.531
My supervisor takes the difficulties I raise seriously.		.476
My supervisor supports me in dealing with workload.		.511
I can rely on my supervisor when a professional difficulty arises.		.509
I feel energetic while working.		.588
I find my work tasks interesting.		.541
I feel committed to putting effort into my work.		.570
I am absorbed in my work while carrying out a task.		.507
I feel enthusiastic about my work.		.583

Total Variance Explained
	Initial Eigenvalues			Extraction Sums of Squared Loadings			Rotation Sums of Squared Loadings
	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %
1	5.229			2.798	18.655	18.655
2	2.533			2.625	17.503	36.158
3	1.629			2.570	17.131	53.289
4	0.604
5	0.578
6	0.561
7	0.515
8	0.502
9	0.484
10	0.463
11	0.411
12	0.399
13	0.379
14	0.364
15	0.347

Factor Matrix
	1	2	3
I have freedom to choose how to carry out my tasks.	.471	.503	.109
I can decide the order of tasks during my workday.	.513	.530	.202
I have discretion in choosing how to solve a work problem.	.476	.520	.159
I can adapt my work method to the needs of a task.	.527	.453	.234
I can make decisions about my day-to-day work.	.457	.498	.168
My supervisor is available when I need help.	.583	-.420	.211
My supervisor gives feedback that helps me in my work.	.544	-.423	.238
My supervisor takes the difficulties I raise seriously.	.510	-.354	.302
My supervisor supports me in dealing with workload.	.494	-.379	.351
I can rely on my supervisor when a professional difficulty arises.	.535	-.393	.261
I feel energetic while working.	.643	-.094	-.406
I find my work tasks interesting.	.656	-.024	-.332
I feel committed to putting effort into my work.	.686	-.003	-.315
I am absorbed in my work while carrying out a task.	.626	-.051	-.335
I feel enthusiastic about my work.	.662	-.091	-.371
a. 3 factors extracted.

Rotated Factor Matrix
	1	2	3
I have freedom to choose how to carry out my tasks.	.074	.677	-.064
I can decide the order of tasks during my workday.	-.010	.766	.012
I have discretion in choosing how to solve a work problem.	.019	.721	-.033
I can adapt my work method to the needs of a task.	-.031	.721	.096
I can make decisions about my day-to-day work.	.001	.699	-.017
My supervisor is available when I need help.	.111	-.037	.696
My supervisor gives feedback that helps me in my work.	.060	-.039	.705
My supervisor takes the difficulties I raise seriously.	-.035	.042	.697
My supervisor supports me in dealing with workload.	-.095	.041	.748
I can rely on my supervisor when a professional difficulty arises.	.027	-.005	.701
I feel energetic while working.	.793	-.054	-.012
I find my work tasks interesting.	.711	.051	.007
I feel committed to putting effort into my work.	.705	.089	.018
I am absorbed in my work while carrying out a task.	.701	.014	.010
I feel enthusiastic about my work.	.762	-.026	.022

Scree Plot