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Table 1 Characteristics of the assessment methods and observations of the included studies

From: Emotional labor as emotion regulation investigated with ecological momentary assessment – a scoping review

 

Design

n Participants

Duration

Observations

Study

Sampling design

EMA device

Invited

Included in analysis

Drop-out rate

Possible time period (p.p.)

Possible observations (total)

Observations included in analysis (total)

Response rate (total)

Possible observations (p.p.)

Average of observations (p.p.)

Possible observations per day (p.p.)

Beal et al. (2013)

At the beginning of the shift, before the rush, after the rush and at the end of the shift (i.e., event-based)

PDA

84

63

25%a

15 workdays

3780a

2051

54%a

60a

 

4

Bono et al. (2007)

Within the shift (i.e., event-based) during each 2-h segment of the 8-h workday (i.e., random-based) including a 10-min response window

PDA

73

54

26%a

10 workdays

2266

889

39%

40a

15

4

Chang et al. (2021)

Three daily alerts at beginning of the day, mid-day planning period or lunch time, and end of the day (i.e., event-based). Optional additional assessment during the day following student misbehavior (i.e., event-based)

PDA (iPad Mini)

68

42 (pre-survey) & 15 (final EMA)

38% (pre-survey) & 78%a (final EMA)

Two weeks

450a & 600a (without and with optional daily assessment, resp.)

70

16%a & 12%a (without and with optional daily assessment, resp.)

30a & 40a (without and with optional daily assessment, resp.)

 

3 & 4 (without and with optional daily assessment, resp.)

Huang et al. (2015)

In the middle and at the end of the workday (i.e., event-based)

PPQ

100

84

16%a

15 workdays

2520a

1054

42%a

30

25

2

Huppertz et al. (2020)

3 daily surveys sent out at 13:00, 16:00, and 19:00 with instructions to complete the survey during work, shortly after work, or in the evening, resp. (i.e., event-based)

Online survey

150

144 & 146 (depending on analysis)

4%a & 3%a (depending on analysis)

7 days

3024a & 3066a (depending on analysis)

699

23%a

21a

 

3

Judge et al. (2009)

At the end of the workday (i.e., event-based)

Online survey

230

127

45%

7 days, weekends included

635

398

63%

7

4.5

1

Keller et al. (2014)

At the beginning of each regular teaching lesson including a 5-min response window (i.e., event-based) and once within that lesson including a 5-min response window (i.e., random-based)

PDA (Palm Pilot Z22)

 

39

 

10 workdays

882a

794

90%

 

40

 

Sayre et al. (2019, Study 1)

Participants were e-mailed a link twice a day for 14 days between 13:00 and 17:00 & between 17:00 and 21:00 (i.e., event- and random- based)

Online survey

219

86

61%a

14 days, weekends included

2408a

390

16%a

28a

 

2

Sayre et al. (2019, Study 2)

A survey link was sent electronically twice a day for 10 workdays at 9:00 & 17:00 (event-based)

Online survey

95

90

5%a

10 workdays

1800a

700

39%

20a

 

2

Scott et al. (2011)

Right before beginning the shift and before leaving work (i.e., event-based)

Online survey

68

58

15%a

10 workdays

580

405

73%

20a

14

2

Totterdell et al. (2003)

At 11:00, 13:00, 15:00, and 17:00 including a 30-min response window (i.e., event-based) with a 30-min response window

PDA

90

18

80%a

10 workdays

720a

537

85%

40a

29.83

4

Wagner et al. (2014)

Prior to beginning their shifts and following their shift, participants used a computer terminal to fill out two surveys, and each evening they completed a paper-based survey just prior to retiring to bed (i.e., event-based)

Online at a compu-ter termi-nal & PPQ

100

78

22%a

14 workdays

3276a

  

42a

 

3

Xiao et al. (2019)

 

PPQ

1000

572

43%a

10 workdays

      
  1. Blank spaces indicate that the information was not reported in the studies. PDA Personal d igital a ssistant. PPQ Paper- pencil questionnaire
  2. aValues were calculated by this review’s authors