Table 3. Main effects by each participant.
Participant | Goal-setting |
Self-monitoring |
Linear time trend |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B | SE | p | 95% CI | d (95% CI) | B | SE | p | 95% CI | d (95% CI) | B | SE | p | 95% CI | |
1 | 369 | 611 | .53 | −828, 1567 | .16 (−.34, .66) | 419 | 671 | .51 | −897, 1735 | .17 (−.33, .67) | 31 | 21 | .08 | −9, 71 |
2 | −259 | 982 | .66 | −2183, 1666 | −.32 (−.82, .18) | 837 | 904 | .35 | −936, 2609 | .43 (-.08, .93) | −10 | 30 | .54 | −69, 49 |
3 | 566 | 1051 | .58 | −1495, 2626 | −.14 (−.64, .36) | 758 | 940 | .41 | −1084, 2599 | .47 (−.04, .97) | 30 | 32 | .31 | −34, 93 |
4 | 683 | 1318 | .61 | −1900, 3265 | .14 (−.36, .64) | 1290 | 1333 | .33 | −1322, 3902 | .36 (−.15, .86) | −86 | 36 | .02 | −156, −16 |
6 | −263 | 1035 | .46 | −2291, 1766 | .02 (−.47, .52) | 574 | 937 | .43 | −1262, 2411 | −.07 (−.57, .43) | 4 | 24 | .72 | −44, 51 |
8 | 329 | 1179 | .75 | −1981, 2640 | −.01 (−.50, .49) | 126 | 1177 | .78 | −2181, 2432 | −.32 (−.82, .18) | −82 | 32 | .01 | −144, −20 |
9 | −362 | 823 | .66 | −1975, 1251 | .34 (−.17, .84) | −191 | 1013 | .61 | −2176, 1794 | .33 (−.17, .83) | −5 | 27 | .61 | −57, 48 |
10 | 768 | 788 | .31 | −777, 2312 | .38 (−.13, .87) | 1055 | 739 | .15 | −393, 2503 | .32 (−.18, .82) | 9 | 23 | .54 | −37, 55 |
Linear time trend was analysed using the original values with missing cases imputed because pre-whitening would remove the effect being tested, while goal-setting and self-monitoring were analysed using the pre-whitened values with missing cases imputed. For the goal-setting and self-monitoring analyses, pre-whitening was required twice for participant two (at lag1 for imputations 2 and 5), once for participant three (at lag1 for imputation 1), three times for participant 6 (at lag1 for imputations 3–5), once for participant 8 (at lag2 for imputation 4), once for participant 9 (at lag4 for imputation 1) and twice for participant 10 (at lag1 for imputation 2 and lag5 for imputation 3). For participant 1, pre-whitening was required in four instances (at lag1 for imputations 2–5). However, in three instances, pre-whitening did not successfully remove significant autocorrelation (imputations 2 and 4–5). Therefore, we conducted a sensitivity analysis whereby the combined results of including all five imputations (one with no autocorrelation and four pre-whitened at lag1) were compared with only including the two imputations where pre-whitening was successfully removed (one with no autocorrelation and one pre-whitened at lag1). In the table, we report the results with all five imputations combined. When only the two imputations that had autocorrelation successfully removed with pre-whitening were included, the combined results were weaker for both goal-setting (B = 156, SE = 568, p = .74, 95% CI = −958, 1270) and self-monitoring (B = 111, SE = 528, p = .78, 95% CI = −925, 1146). The effect sizes (Cohen’s d) were calculated using the means and standard deviations of the original data before imputation of missing cases.