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008 241113s2024 xx o 0|| 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781040257715
_q(electronic bk.)
020 _a1040257712
_q(electronic bk.)
020 _a9781032678931
_q(electronic bk.)
020 _a1032678933
_q(electronic bk.)
020 _a9781040257791
_q(electronic bk. : EPUB)
020 _a1040257798
_q(electronic bk. : EPUB)
020 _z1032648198
020 _z9781032648194
020 _z1032647078
020 _z9781032647074
024 7 _a10.1201/9781032678931
_2doi
035 _a(OCoLC)1468297297
035 _a(OCoLC-P)1468297297
050 4 _aQA76.9.Q36
072 7 _aSCI
_x043000
_2bisacsh
072 7 _aSOC
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_2bisacsh
072 7 _aSOC
_x024000
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072 7 _aGPS
_2bicssc
100 1 _aDonalds, Charlette
_1https://id.oclc.org/worldcat/entity/E39PCjwgyGfGgKJcpMgHGwhQHK
_996028
245 1 0 _aQuantitative social science research in practice
_h[electronic resource].
260 _a[S.l.] :
_bROUTLEDGE,
_c2024.
300 _a1 online resource
520 _aQuantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models for Social Sciencesexamines quantitative Behavioral Science Research (BSR) by focusing on four key areas: Developing Novel, Parsimonious, and Actionable Causal Models: Researchers often face challenges in creating new, parsimonious causal models supported by empirical evaluation. A promising approach involves using meta-analytic reviews and more recent studies to identify relevant constructs and hypotheses that would constitutethe new causal model. Exploring the Scope of Context for a Novel Causal Model: The relevance of causal models may vary based on context, such as national or organizational culture, economic and political situations, and feasibility constraints. Behavioural science researchers have struggled to balance rigor and relevance, as theories effective in one context may not be valid in another. This book presents an approach to determine the contextual scope for new causal models. Guidance to Practice from a Novel Causal Model: Quantitative BSR studies should offer practical guidance, but often this guidance is vague or superficial. This book proposes an approach to highlight actionable insights derived from data analysis of new causal models, ensuring that the research offers concrete guidance for practitioners. Implementing Guidance from Causal Models: A significant limitation of BSR studies is the lack of clarity on how results can be made actionable for decision-makers, considering the costs and benefits of actions. This book presents a method to make research results actionable, especially for models with high explanatory and predictive power. The book is designed to be useful for various audiences: Business Managers and Practitioners: Those conducting or utilizing quantitative BSR for decision-making can find practical approaches for developing and applying causal models. Masters and PhD Students: Students across disciplines interested in quantitative BSR can gain insight into novel methods for creating strong causal models. Active Scholars: Researchers aiming to apply new approaches in their work can benefit from the strategies outlined. Professors and Instructors: Those teaching research methodology or supervising theses can find the book a valuable resource for guiding students in their research projects. The book aims to advance the field of quantitative BSR by providing robust methodologies for developing, contextualizing, and implementing causal models, ensuring both academic rigor and practical relevance.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aQuantitative research.
650 7 _aSCIENCE / Research & Methodology
_2bisacsh
_992757
650 7 _aSOCIAL SCIENCE / Methodology
_2bisacsh
_964180
650 7 _aSOCIAL SCIENCE / Research
_2bisacsh
_964181
700 1 _aOsei-Bryson, Kweku-Muata
_1https://id.oclc.org/worldcat/entity/E39PCjtbKKCd3FHTCHCJjKDdcd
_996029
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781032678931
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c68242
_d68242