{"id":"https://openalex.org/W415541256","doi":null,"title":"Statistical Strategies for Small Sample Research","display_name":"Statistical Strategies for Small Sample Research","publication_year":1999,"publication_date":"1999-03-30","ids":{"openalex":"https://openalex.org/W415541256","mag":"415541256"},"language":"en","primary_location":{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-012855842","doi":null,"is_oa":false,"landing_page_url":"http://bvbr.bib-bvb.de:8991/F?func=service&amp;doc_library=BVB01&amp;local_base=BVB01&amp;doc_number=012855842&amp;sequence=000002&amp;line_number=0001&amp;func_code=DB_RECORDS&amp;service_type=MEDIA","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069509790","display_name":"Rick H. Hoyle","orcid":"https://orcid.org/0000-0003-0900-2814","observed_orcids":["https://orcid.org/0000-0003-0900-2814"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rick H. Hoyle","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0900-2814","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5069509790"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":22.7921,"has_fulltext":false,"cited_by_count":1896,"citation_normalized_percentile":{"value":0.9962724,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9018999934196472,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.017100000753998756,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.016300000250339508,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/small-sample-research","display_name":"small-sample research","score":0.7770000100135803},{"id":"https://openalex.org/keywords/multiple-imputation","display_name":"multiple imputation","score":0.9350000023841858},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.7099999785423279},{"id":"https://openalex.org/keywords/effect-size","display_name":"effect size","score":0.8489999771118164},{"id":"https://openalex.org/keywords/bootstrap-method","display_name":"bootstrapping","score":0.7799999713897705},{"id":"https://openalex.org/keywords/permutation-tests","display_name":"permutation tests","score":0.8149999976158142},{"id":"https://openalex.org/keywords/sample-size","display_name":"sample size","score":0.5460000038146973},{"id":"https://openalex.org/keywords/reliability-statistics","display_name":"reliability statistics","score":0.5799999833106995},{"id":"https://openalex.org/keywords/dynamic-factor-analysis","display_name":"dynamic factor analysis","score":0.8970000147819519},{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"confirmatory factor analysis","score":0.8379999995231628},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"structural equation modeling","score":0.9319999814033508},{"id":"https://openalex.org/keywords/partial-least-squares","display_name":"partial least squares","score":0.7990000247955322},{"id":"https://openalex.org/keywords/multivariate-data","display_name":"multivariate data","score":0.734000027179718}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6006887555122375},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5042792558670044},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.48026609420776367},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.47820353507995605},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.4346975088119507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4319279193878174},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.41625845432281494},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34535297751426697}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-012855842","doi":null,"is_oa":false,"landing_page_url":"http://bvbr.bib-bvb.de:8991/F?func=service&amp;doc_library=BVB01&amp;local_base=BVB01&amp;doc_number=012855842&amp;sequence=000002&amp;line_number=0001&amp;func_code=DB_RECORDS&amp;service_type=MEDIA","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:415541256","doi":null,"is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/ncid/BA42122813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4401789473","https://openalex.org/W2300881568","https://openalex.org/W7099966828","https://openalex.org/W161743730","https://openalex.org/W7074248339","https://openalex.org/W7099002591","https://openalex.org/W2752156711","https://openalex.org/W7098647891","https://openalex.org/W2763647761","https://openalex.org/W6903817362"],"abstract_inverted_index":{"On":[0],"the":[1],"Performance":[2],"of":[3,66,92,110],"Multiple":[4],"Imputation":[5],"for":[6,78,131,155],"Multivariate":[7,128],"Data":[8,82],"with":[9,186],"Small":[10,29,156,159,187],"Sample":[11,105,157],"Size":[12],"-":[13,30,45,56,69,83,97,113,135,147,167,193],"John":[14,136],"W":[15,149,195],"Graham":[16],"and":[17,33,39,49,59,63,80,87,101,108,117,139,151,177,197],"Joseph":[18],"L":[19,71,170],"Schafer":[20],"Maximizing":[21],"Power":[22],"in":[23,42,161],"Randomized":[24],"Designs":[25,68],"When":[26],"N":[27],"is":[28],"Anre":[31],"Venter":[32],"Scott":[34,70],"E":[35],"Maxwell":[36],"Effect":[37],"Sizes":[38,158],"Significance":[40],"Levels":[41],"Small-Sample":[43],"Research":[44],"Sharon":[46],"H":[47,103,115,169],"Kramer":[48],"Robert":[50,172],"Rosenthal":[51],"Statistical":[52,111],"Analysis":[53,134,146,185],"Using":[54,189],"Bootstrapping":[55],"Yiu-Fai":[57],"Yung":[58],"Wai":[60],"Chan":[61],"Concepts":[62],"Implementation":[64],"Meta-Analysis":[65],"Single-Case":[67],"Hershberger":[72],"et":[73],"al":[74],"Exact":[75],"Permutational":[76],"Inference":[77],"Categorical":[79],"Nonparametric":[81],"Cyrus":[84],"R":[85,89,137,174,199],"Mehta":[86],"Nitin":[88],"Patel":[90],"Tests":[91,109],"an":[93],"Identity":[94],"Correlation":[95],"Structure":[96],"Rachel":[98],"T":[99],"Fouladi":[100],"James":[102],"Steiger":[104],"Size,":[106],"Reliability":[107],"Mediation":[112],"Rick":[114],"Hoyle":[116],"David":[118],"A":[119,173,180],"Kenny":[120],"Pooling":[121],"Lagged":[122],"Covariance":[123],"Structures":[124],"Based":[125],"on":[126],"Short,":[127],"Time":[129],"Series":[130],"Dynamic":[132],"Factor":[133,145],"Nesselroade":[138],"Peter":[140,198],"C":[141],"M":[142,179],"Molenaar":[143],"Confirmatory":[144],"Herbert":[148],"Marsh":[150],"Kit-Tai":[152],"Hau":[153],"Strategies":[154],"Samples":[160,188],"Structural":[162,182],"Equation":[163,183],"State":[164],"Space":[165],"Modeling":[166,184],"Johan":[168],"Oud,":[171],"G":[175],"Jansen":[176],"Dominique":[178],"Haughton":[181],"Partial":[190],"Least":[191],"Squares":[192],"Wynne":[194],"Chin":[196],"Newsted":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":66},{"year":2023,"cited_by_count":69},{"year":2022,"cited_by_count":73},{"year":2021,"cited_by_count":86},{"year":2020,"cited_by_count":79},{"year":2019,"cited_by_count":83},{"year":2018,"cited_by_count":88},{"year":2017,"cited_by_count":88},{"year":2016,"cited_by_count":114},{"year":2015,"cited_by_count":118},{"year":2014,"cited_by_count":131},{"year":2013,"cited_by_count":130},{"year":2012,"cited_by_count":113}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
