人气
变量(数学)
点(几何)
心理学
关系(数据库)
以人为中心的治疗
数据科学
认知心理学
计算机科学
社会心理学
数据挖掘
数学
几何学
精神分析
数学分析
作者
Matt C. Howard,Michael E. Hoffman
标识
DOI:10.1177/1094428117744021
摘要
The variable-centered approach is favored in management and applied psychology, but the person-centered approach is quickly growing in popularity. A partial cause for this rise is the finer-grained detail that it allows. Many researchers may be unaware, however, that another approach may provide even finer-grained detail: the person-specific approach. In the current article, we (a) detail the purpose of each approach, (b) describe how to determine when each approach is most appropriate, and (c) delineate when the approaches diverge to give differing results. Through achieving these goals, we suggest that no single approach is the “best.” Instead, the choice of approach should be guided by the research question. To further emphasize this point, we provide illustrative examples using real data to answer three distinct research questions. The results show that each research question can be fully addressed only by the appropriate approach. To conclude, we directly suggest certain research areas that may benefit from the application of person-centered and person-specific approaches. Together, we believe that discussing variable-centered, person-centered, and person-specific approaches together may provide a more thorough understanding of each.
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