Skip to main content

Table 2 Multilevel model analyses to predict physical behavior: fixed and random effects

From: Momentary within-subject associations of affective states and physical behavior are moderated by weather conditions in real life: an ambulatory assessment study

 

PA models

SB models

Model 1

Model 2

Model 3

Model 3

Model 1b

Model 2b

Model 3b

b /stand. b (SE)

b /stand. b (SE)

b /stand. b (SE)

b /stand. b (SE)

b /stand. b (SE)

b /stand. b (SE)

b /stand. b (SE)

Fixed effects

Intercept, \({\beta }_{00}\)

3.393** (.570)

3.499** (.571)

3.519** (.575)

3.514** (.571)

22.167** (5.810)

21.450** (5.773)

21.438** (5.870)

Sexa, \({\beta }_{03}\)

.076/.037 (.090)

.076/.036 (.090)

.073/.036 (.091)

.077/.038 (.090)

-.199/-.010 (.915)

-.202/-.009 (.908)

-.233/-.011 (.923)

Age, \({\beta }_{01}\)

-.009/-.025 (.010)

-.009/-.024 (.010)

-.009/-.026 (.010)

-.009/-.026 (.010)

-.175/-.048 (.099)

-.173/-.049 (.098)

-.173/-.047 (.100)

BMI, \({\beta }_{02}\)

-.017/-.033 (.022)

-.017/-.033 (.022)

-.016/-.032 (.022)

-.017/-.033 (.022)

-.029/-.006 (.226)

-.028/-.005 (.224)

-.029/-.006 (.228)

Calmness, \({\beta }_{30}\)

-.006**/-.130 (.002)

-.006**/-.128 (.002)

-.006**/-.126 (.002)

-.006**/-.127 (.002)

.054*/.109 (.018)

.051**/.109 (.018)

.054**/.108 (.018)

Valence, \({\beta }_{10}\)

.007**/.134 (.002)

.007**/.137 (.002)

.007**/.140 (.002)

.007**/.141 (.002)

-.026/-.049 (.021)

-.025/-.051 (.021)

-.028/-.054 (.021)

Energetic Arousal, \({\beta }_{20}\)

.007**/.156 (.001)

.007**/.157 (.001)

.007**/.156 (.001)

.007**/.161 (.001)

-.017/-.038 (.014)

-.019/-.039 (.014)

-.019/-.041 (.014)

Temperature, \({\beta }_{60}\)

–-

.025/.139* (.010)

.026**/.138 (.009)

.025**/.136 (.009)

–-

-.146/-.084 (.086)

-.150/-.081 (.086)

Precipitation, \({\beta }_{70}\)

–-

.007/.003 (.081)

.008/.003 (.081)

.005/.002 (.081)

–-

-.366/-.014 (.768)

-.365/-.014 (.767)

Calmness*temperature, \({\beta }_{80}\)

–-

–-

.001*/.072 (.001)

–-

–-

–-

–-

Valence*temperature, \({\beta }_{80}\)

–-

–-

–-

.001*/.075 (.001)

–-

–-

-.011*/-.066 (.005)

Time of day, \({\beta }_{40}\)

.069**/.265 (.025)

.032/.120 (.028)

.027/.102 (.028)

.030/.114 (.028)

.034/.013 (.244)

.267/.101 (.277)

.276/.106 (.273)

Time of day squared, \({\beta }_{50}\)

-.005**/-.260 (.002)

-.002/-.124 (.002)

-.002/-.108 (.002)

-.002/-.116 (.002)

.009/.053 (.017)

-.006/-.029 (.019)

-.006/-.036 (.019)

Random effects

Intercept, \({u}_{0}\)

.087** (.022)

.087** (.022)

.089** (.023)

.087** (.022)

9.663** (2.428)

9.475** (2.409)

.089** (.023)

Residual, \(\mathrm{r}\)

.885** (.033)

.870** (.033)

.878** (.032)

.878** (.032)

90.753** (3.223)

89.106** (3.229)

.878** (.032)

  1. Note1: Unstandardized / standardized estimates and standard errors
  2. acompared to males
  3. * P < .05
  4. ** P < .01