Advances in Psychological Science ›› 2020, Vol. 28 ›› Issue (4): 549-565.doi: 10.3724/SP.J.1042.2020.00549
• Meta-Analysis • Previous Articles Next Articles
ZHANG Jianping(), QIN Chuanyan, LIU Shanshi
Received:
2019-07-30
Online:
2020-04-15
Published:
2020-02-24
Contact:
ZHANG Jianping
E-mail:zhangjp1987@126.com
CLC Number:
ZHANG Jianping, QIN Chuanyan, LIU Shanshi. Does seek feedback improve performance? A meta-analytic review about feedback-seeking behavior and individual performance[J]. Advances in Psychological Science, 2020, 28(4): 549-565.
研究 | 样本量 | 寻求策略 | 绩效类型 | 反馈源 | 测量工具 | 被试类型 | 文化背景 | 调研方式 |
---|---|---|---|---|---|---|---|---|
申传刚, 2012 | 306 | I | TP | L | Yanagizawa (2008) | 非 | 中国 | 2 |
360 | I | TP | L | 非 | 中国 | 1 | ||
323 | I, M | CIP | L, P | 新入职员工 | 中国 | 1 | ||
334 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
159 | O | CIP | L | 非 | 中国 | 2 | ||
329 | I | CIP | L, P | Yanagizawa (2008) | 非 | 中国 | 1 | |
506 | I, M | CIP | L, P | 非 | 中国 | 1 | ||
387 | I | CIP | L | 非 | 中国 | 2 | ||
周金毅, 2017 | 162 | I | TP | L, P | 一线员工 | 中国 | 2 | |
221 | I | CP | L, P | 新入职员工 | 中国 | 1 | ||
333 | I | CIP | L, P | 非 | 中国 | 1 | ||
229 | I | CIP | L, P | 非 | 中国 | 1 | ||
316 | I, M | CIP | L, P | 新入职员工 | 中国 | 1 | ||
302 | I | TP | L | 非 | 中国 | 2 | ||
237 | I | All | L | 非 | 中国 | 1 | ||
235 | I, M | CIP | L, P | 非 | 中国 | 4 | ||
216 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
186 | I | CP | L, P | 非 | 中国 | 1 | ||
328 | I, M | CIP | L | 非 | 中国 | 1 | ||
201 | I, M | CIP | L, P | 非 | 中国 | 2 | ||
233 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
472 | I | CIP | L, P | 非 | 中国 | 1 | ||
286 | I | CIP | L, P | 非 | 中国 | 1 | ||
387 | I, M | ALL | L, P | 中层管理者 | 美国 | 1, 2 | ||
149 | I, M | ALL | L, P | 新入职员工 | 美国 | 4 | ||
316 | I, M | ALL | L, P | 中层管理者 | 美国 | 1, 2 | ||
69 | I | All | L | 新入职职业经理人 | 美国 | 3 | ||
205 | O | TP | L, P | 新入职员工 | 美国 | 4 | ||
123 | I, M | TP | L, P | 兼职在校生 | 美国 | 1, 2 | ||
279 | I, M | TP | L, P | 销售员 | 美国 | 1 | ||
136 | O | TP | L, P | 综合编制 | 销售客服 | 美国 | 4 | |
148 | I | TP, CP | L | 作者开发量表 | 非 | 美国 | 2 | |
238 | I | TP | L | 一线员工 | 中国 | 2 | ||
240 | I | TP | L | 一线工人 | 中国 | 2 | ||
170 | I | TP, CP | L, P | 兼职在校生 | 美国 | 2 | ||
196 | I | TP | L | 一线员工 | 韩国 | 1 | ||
130 | I | TP | L | 高中教师 | 巴基斯坦 | 1 | ||
456 | I, M | CP | L, P | 综合编制 | 知识型员工 | 美国 | 2 | |
111 | 1 | CIP, CP | L | 新入职员工 | 美国 | 3 | ||
研究 | 样本量 | 寻求策略 | 绩效类型 | 反馈源 | 测量工具 | 被试类型 | 文化背景 | 调研方式 |
126 | I | TP | L | 综合编制 | 兼职在校生 | 美国 | 2 | |
203 | O | All | L | 非 | 中国台湾 | 1 | ||
291 | I | TP, CP | L | 新入职员工 | 印度 | 4 | ||
202 | 1 | TP, CP | L | 兼职在校生 | 美国 | 1 | ||
81 | I | CIP | L | 新入职员工 | 芬兰 | 2 | ||
179 | I | All | P | 非 | 荷兰 | 1 | ||
108 | I | TP | L | 综合编制 | 兼职在校生 | 美国 | 2 | |
202 | I | TP | L | 非 | 韩国 | 1 | ||
239 | I | TP | L | 非 | 中国台湾 | 1 | ||
187 | I | CIP | L, P | 非 | 韩国 | 2 | ||
199 | I | Task | L | 作者开发量表 | 非 | 美国 | 1 | |
388 | 1 | CIP | L | 非 | 中国 | 2 | ||
88 | I | TP | L | 销售员 | 美国 | 4 | ||
186 | O | TP | L, P | 作者开发量表 | 非 | 中国 | 4 | |
379 | I | TP | L | 中小学教师 | 中国澳门 | 4 | ||
217 | I | TP | L | 新入职员工 | 加拿大 | 2 | ||
501 | O | TP | L | 非 | 印度 | 2 | ||
205 | I | CIP | L | 一线员工 | 中国 | 2 | ||
197 | I | TP | L | 一线员工 | 中国 | 1 | ||
133 | I | TP | L | 一线员工 | 土耳其 | 2 | ||
331 | O | CIP | L, P | 非 | 中国 | 2 | ||
279 | I | TP | L | 一线员工 | 中国 | 2 | ||
206 | I, M | TP | L | 综合编制 | 非 | 中国 | 4 |
研究 | 样本量 | 寻求策略 | 绩效类型 | 反馈源 | 测量工具 | 被试类型 | 文化背景 | 调研方式 |
---|---|---|---|---|---|---|---|---|
申传刚, 2012 | 306 | I | TP | L | Yanagizawa (2008) | 非 | 中国 | 2 |
360 | I | TP | L | 非 | 中国 | 1 | ||
323 | I, M | CIP | L, P | 新入职员工 | 中国 | 1 | ||
334 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
159 | O | CIP | L | 非 | 中国 | 2 | ||
329 | I | CIP | L, P | Yanagizawa (2008) | 非 | 中国 | 1 | |
506 | I, M | CIP | L, P | 非 | 中国 | 1 | ||
387 | I | CIP | L | 非 | 中国 | 2 | ||
周金毅, 2017 | 162 | I | TP | L, P | 一线员工 | 中国 | 2 | |
221 | I | CP | L, P | 新入职员工 | 中国 | 1 | ||
333 | I | CIP | L, P | 非 | 中国 | 1 | ||
229 | I | CIP | L, P | 非 | 中国 | 1 | ||
316 | I, M | CIP | L, P | 新入职员工 | 中国 | 1 | ||
302 | I | TP | L | 非 | 中国 | 2 | ||
237 | I | All | L | 非 | 中国 | 1 | ||
235 | I, M | CIP | L, P | 非 | 中国 | 4 | ||
216 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
186 | I | CP | L, P | 非 | 中国 | 1 | ||
328 | I, M | CIP | L | 非 | 中国 | 1 | ||
201 | I, M | CIP | L, P | 非 | 中国 | 2 | ||
233 | I, M | CIP | L, P | 综合编制 | 非 | 中国 | 1 | |
472 | I | CIP | L, P | 非 | 中国 | 1 | ||
286 | I | CIP | L, P | 非 | 中国 | 1 | ||
387 | I, M | ALL | L, P | 中层管理者 | 美国 | 1, 2 | ||
149 | I, M | ALL | L, P | 新入职员工 | 美国 | 4 | ||
316 | I, M | ALL | L, P | 中层管理者 | 美国 | 1, 2 | ||
69 | I | All | L | 新入职职业经理人 | 美国 | 3 | ||
205 | O | TP | L, P | 新入职员工 | 美国 | 4 | ||
123 | I, M | TP | L, P | 兼职在校生 | 美国 | 1, 2 | ||
279 | I, M | TP | L, P | 销售员 | 美国 | 1 | ||
136 | O | TP | L, P | 综合编制 | 销售客服 | 美国 | 4 | |
148 | I | TP, CP | L | 作者开发量表 | 非 | 美国 | 2 | |
238 | I | TP | L | 一线员工 | 中国 | 2 | ||
240 | I | TP | L | 一线工人 | 中国 | 2 | ||
170 | I | TP, CP | L, P | 兼职在校生 | 美国 | 2 | ||
196 | I | TP | L | 一线员工 | 韩国 | 1 | ||
130 | I | TP | L | 高中教师 | 巴基斯坦 | 1 | ||
456 | I, M | CP | L, P | 综合编制 | 知识型员工 | 美国 | 2 | |
111 | 1 | CIP, CP | L | 新入职员工 | 美国 | 3 | ||
研究 | 样本量 | 寻求策略 | 绩效类型 | 反馈源 | 测量工具 | 被试类型 | 文化背景 | 调研方式 |
126 | I | TP | L | 综合编制 | 兼职在校生 | 美国 | 2 | |
203 | O | All | L | 非 | 中国台湾 | 1 | ||
291 | I | TP, CP | L | 新入职员工 | 印度 | 4 | ||
202 | 1 | TP, CP | L | 兼职在校生 | 美国 | 1 | ||
81 | I | CIP | L | 新入职员工 | 芬兰 | 2 | ||
179 | I | All | P | 非 | 荷兰 | 1 | ||
108 | I | TP | L | 综合编制 | 兼职在校生 | 美国 | 2 | |
202 | I | TP | L | 非 | 韩国 | 1 | ||
239 | I | TP | L | 非 | 中国台湾 | 1 | ||
187 | I | CIP | L, P | 非 | 韩国 | 2 | ||
199 | I | Task | L | 作者开发量表 | 非 | 美国 | 1 | |
388 | 1 | CIP | L | 非 | 中国 | 2 | ||
88 | I | TP | L | 销售员 | 美国 | 4 | ||
186 | O | TP | L, P | 作者开发量表 | 非 | 中国 | 4 | |
379 | I | TP | L | 中小学教师 | 中国澳门 | 4 | ||
217 | I | TP | L | 新入职员工 | 加拿大 | 2 | ||
501 | O | TP | L | 非 | 印度 | 2 | ||
205 | I | CIP | L | 一线员工 | 中国 | 2 | ||
197 | I | TP | L | 一线员工 | 中国 | 1 | ||
133 | I | TP | L | 一线员工 | 土耳其 | 2 | ||
331 | O | CIP | L, P | 非 | 中国 | 2 | ||
279 | I | TP | L | 一线员工 | 中国 | 2 | ||
206 | I, M | TP | L | 综合编制 | 非 | 中国 | 4 |
变量关系 | k | N | rz | 95% CI | 双尾检验 | 异质性分析 | Tau-squared | Fail-safe N | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
z值 | p值 | Qw | p值 | I2 | Tau2 | SE | 方差 | ||||||
FSB→个体绩效 | 62 | 15141 | 0.329 | (0.273, 0.382) | 10.976 | 0.000 | 868.950 | 0.000 | 92.980 | 0.055 | 0.012 | 0.000 | 8864 |
FSB→任务绩效 | 30 | 6548 | 0.258 | (0.173, 0.339) | 5.823 | 0.000 | 378.518 | 0.000 | 92.339 | 0.056 | 0.017 | 0.000 | 3597 |
FSB→创新绩效 | 23 | 6646 | 0.409 | (0.329, 0.484) | 9.124 | 0.000 | 322.077 | 0.000 | 93.169 | 0.048 | 0.016 | 0.000 | 7578 |
Inquiry→ 个体绩效 | 55 | 13420 | 0.350 | (0.291, 0.406) | 10.948 | 0.000 | 784.419 | 0.000 | 93.116 | 0.056 | 0.012 | 0.000 | 6417 |
Monitoring→ 个体绩效 | 16 | 4608 | 0.288 | (0.163, 0.405) | 4.387 | 0.000 | 308.250 | 0.000 | 95.134 | 0.069 | 0.028 | 0.001 | 1774 |
Inquiry→ 任务绩效 | 26 | 5520 | 0.276 | (0.182, 0.365) | 5.605 | 0.000 | 343.140 | 0.000 | 92.714 | 0.061 | 0.020 | 0.000 | 3119 |
Inquiry→ 关系绩效 | 7 | 1329 | 0.302 | (0.073, 0.501) | 2.560 | 0.010 | 114.294 | 0.000 | 94.750 | 0.098 | 0.061 | 0.004 | 217 |
Inquiry→ 创新绩效 | 21 | 6156 | 0.436 | (0.355, 0.511) | 9.500 | 0.000 | 289.683 | 0.000 | 93.096 | 0.047 | 0.017 | 0.000 | 7405 |
Monitoring→ 任务绩效 | 6 | 1460 | 0.046 | (-0.005, 0.097) | 1.754 | 0.079 | 22.379 | 0.000 | 77.657 | 0.015 | 0.013 | 0.000 | 3 |
Monitoring→ 创新绩效 | 10 | 3148 | 0.412 | (0.297, 0.515) | 6.537 | 0.000 | 123.903 | 0.000 | 92.736 | 0.041 | 0.022 | 0.000 | 1154 |
变量关系 | k | N | rz | 95% CI | 双尾检验 | 异质性分析 | Tau-squared | Fail-safe N | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
z值 | p值 | Qw | p值 | I2 | Tau2 | SE | 方差 | ||||||
FSB→个体绩效 | 62 | 15141 | 0.329 | (0.273, 0.382) | 10.976 | 0.000 | 868.950 | 0.000 | 92.980 | 0.055 | 0.012 | 0.000 | 8864 |
FSB→任务绩效 | 30 | 6548 | 0.258 | (0.173, 0.339) | 5.823 | 0.000 | 378.518 | 0.000 | 92.339 | 0.056 | 0.017 | 0.000 | 3597 |
FSB→创新绩效 | 23 | 6646 | 0.409 | (0.329, 0.484) | 9.124 | 0.000 | 322.077 | 0.000 | 93.169 | 0.048 | 0.016 | 0.000 | 7578 |
Inquiry→ 个体绩效 | 55 | 13420 | 0.350 | (0.291, 0.406) | 10.948 | 0.000 | 784.419 | 0.000 | 93.116 | 0.056 | 0.012 | 0.000 | 6417 |
Monitoring→ 个体绩效 | 16 | 4608 | 0.288 | (0.163, 0.405) | 4.387 | 0.000 | 308.250 | 0.000 | 95.134 | 0.069 | 0.028 | 0.001 | 1774 |
Inquiry→ 任务绩效 | 26 | 5520 | 0.276 | (0.182, 0.365) | 5.605 | 0.000 | 343.140 | 0.000 | 92.714 | 0.061 | 0.020 | 0.000 | 3119 |
Inquiry→ 关系绩效 | 7 | 1329 | 0.302 | (0.073, 0.501) | 2.560 | 0.010 | 114.294 | 0.000 | 94.750 | 0.098 | 0.061 | 0.004 | 217 |
Inquiry→ 创新绩效 | 21 | 6156 | 0.436 | (0.355, 0.511) | 9.500 | 0.000 | 289.683 | 0.000 | 93.096 | 0.047 | 0.017 | 0.000 | 7405 |
Monitoring→ 任务绩效 | 6 | 1460 | 0.046 | (-0.005, 0.097) | 1.754 | 0.079 | 22.379 | 0.000 | 77.657 | 0.015 | 0.013 | 0.000 | 3 |
Monitoring→ 创新绩效 | 10 | 3148 | 0.412 | (0.297, 0.515) | 6.537 | 0.000 | 123.903 | 0.000 | 92.736 | 0.041 | 0.022 | 0.000 | 1154 |
调节变量 | 异质性检验 | 类别名称 | 模型 | k | N | 效应值估计 | 双尾检验 | |||
---|---|---|---|---|---|---|---|---|---|---|
Qb (df) | p值 | rz | 95% CI | z值 | p值 | |||||
文化背景 | 25.948(2) | 0.000 | 东亚背景 | R | 38 | 10337 | 0.393 | (0.346, 0.467) | 11.719 | 0.000 |
西方背景 | R | 20 | 3749 | 0.181 | (0.103, 0.258) | 4.476 | 0.000 | |||
其它 | R | 4 | 1055 | 0.201 | (0.121, 0.279) | 4.870 | 0.000 | |||
测量工具 | 3.592(5) | 0.610 | R | 6 | 1613 | 0.326 | (0.187, 0.452) | 4.438 | 0.000 | |
Ashford & | R | 3 | 1209 | 0.362 | (-0.049, 0.668) | 1.736 | 0.083 | |||
R | 7 | 1283 | 0.340 | (0.165, 0.495) | 3.691 | 0.000 | ||||
R | 5 | 1044 | 0.235 | (0.095, 0.366) | 3.255 | 0.001 | ||||
R | 18 | 4853 | 0.385 | (0.286, 0.476) | 7.096 | 0.000 | ||||
其它 | R | 23 | 5139 | 0.296 | (0.197, 0.389) | 5.652 | 0.000 | |||
数据收集方式 | 24.354(3) | 0.000 | 截面同源 | R | 29 | 7761 | 0.433 | (0.357, 0.502) | 10.154 | 0.000 |
截面配对 | R | 22 | 5325 | 0.258 | (0.185, 0.328) | 6.762 | 0.000 | |||
纵向同源 | F | 2 | 180 | 0.250 | (0.106, 0.383) | 3.366 | 0.001 | |||
纵向配对 | R | 9 | 1875 | 0.154 | (0.069, 0.237) | 3.529 | 0.000 | |||
反馈源 | 0.884(1) | 0.347 | 领导 | R | 32 | 7127 | 0.305 | (0.241, 0.367) | 8.900 | 0.000 |
领导 & 同事 | R | 29 | 7835 | 0.358 | (0.266, 0.443) | 7.243 | 0.000 | |||
主观or客观 (非自评绩效) | 0.464(1) | 0.496 | 客观绩效 | R | 6 | 1243 | 0.196 | (0.036, 0.347) | 2.387 | 0.017 |
主观绩效 | R | 34 | 7823 | 0.254 | (0.194, 0.312) | 8.015 | 0.000 | |||
被试类型 | 0.402(2) | 0.818 | 兼职在校生 | R | 5 | 820 | 0.296 | (0.120, 0.455) | 3.235 | 0.001 |
新入职员工 | R | 10 | 1983 | 0.302 | (0.180, 0.416) | 4.692 | 0.000 | |||
其余 | R | 47 | 12388 | 0.338 | (0.272, 0.401) | 9.465 | 0.000 |
调节变量 | 异质性检验 | 类别名称 | 模型 | k | N | 效应值估计 | 双尾检验 | |||
---|---|---|---|---|---|---|---|---|---|---|
Qb (df) | p值 | rz | 95% CI | z值 | p值 | |||||
文化背景 | 25.948(2) | 0.000 | 东亚背景 | R | 38 | 10337 | 0.393 | (0.346, 0.467) | 11.719 | 0.000 |
西方背景 | R | 20 | 3749 | 0.181 | (0.103, 0.258) | 4.476 | 0.000 | |||
其它 | R | 4 | 1055 | 0.201 | (0.121, 0.279) | 4.870 | 0.000 | |||
测量工具 | 3.592(5) | 0.610 | R | 6 | 1613 | 0.326 | (0.187, 0.452) | 4.438 | 0.000 | |
Ashford & | R | 3 | 1209 | 0.362 | (-0.049, 0.668) | 1.736 | 0.083 | |||
R | 7 | 1283 | 0.340 | (0.165, 0.495) | 3.691 | 0.000 | ||||
R | 5 | 1044 | 0.235 | (0.095, 0.366) | 3.255 | 0.001 | ||||
R | 18 | 4853 | 0.385 | (0.286, 0.476) | 7.096 | 0.000 | ||||
其它 | R | 23 | 5139 | 0.296 | (0.197, 0.389) | 5.652 | 0.000 | |||
数据收集方式 | 24.354(3) | 0.000 | 截面同源 | R | 29 | 7761 | 0.433 | (0.357, 0.502) | 10.154 | 0.000 |
截面配对 | R | 22 | 5325 | 0.258 | (0.185, 0.328) | 6.762 | 0.000 | |||
纵向同源 | F | 2 | 180 | 0.250 | (0.106, 0.383) | 3.366 | 0.001 | |||
纵向配对 | R | 9 | 1875 | 0.154 | (0.069, 0.237) | 3.529 | 0.000 | |||
反馈源 | 0.884(1) | 0.347 | 领导 | R | 32 | 7127 | 0.305 | (0.241, 0.367) | 8.900 | 0.000 |
领导 & 同事 | R | 29 | 7835 | 0.358 | (0.266, 0.443) | 7.243 | 0.000 | |||
主观or客观 (非自评绩效) | 0.464(1) | 0.496 | 客观绩效 | R | 6 | 1243 | 0.196 | (0.036, 0.347) | 2.387 | 0.017 |
主观绩效 | R | 34 | 7823 | 0.254 | (0.194, 0.312) | 8.015 | 0.000 | |||
被试类型 | 0.402(2) | 0.818 | 兼职在校生 | R | 5 | 820 | 0.296 | (0.120, 0.455) | 3.235 | 0.001 |
新入职员工 | R | 10 | 1983 | 0.302 | (0.180, 0.416) | 4.692 | 0.000 | |||
其余 | R | 47 | 12388 | 0.338 | (0.272, 0.401) | 9.465 | 0.000 |
带*的文献表示纳入了元分析的文献 | |
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