Best practices in quantitative methods for developmentalists:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston, Mass. [u.a.]
Blackwell
2006
|
| Schriftenreihe: | Monographs of the Society for Research in Child Development
285 = 71,3 |
| Schlagworte: | |
| Online-Zugang: | Klappentext Inhaltsverzeichnis |
| Beschreibung: | IX, 150 S. graph. Darst. |
Internformat
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| 245 | 1 | 0 | |a Best practices in quantitative methods for developmentalists |c Kathleen McCartney ; Margaret R. Burchinal ; Kristen L. Bub |
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Datensatz im Suchindex
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| adam_text | The role of quantitative methods in testing developmental
hypotheses is widely recognized, yet even very experienced
quantitative researchers often lack the knowledge required
for good decision-making on methodology. The end result is
a disconnect between research and practice in methods. The
purpose of this monograph is to fill a gap in the literature by
offering a series of overviews on common data-analytic
issues of particular interest to researchers in child develop¬
ment. Our hope is that this monograph will make already
developed methods accessible to developmentalists so they
can understand and use them in their research. We start at
the beginning with chapters on data management and
measurement, two neglected topics in methods training
despite the fact that every investigation should begin with
proper consideration of each. We follow with two important
topics for developmental research, missing data and growth
modeling. Missing data can plague developmental work
because participants sometimes miss one or more assess¬
ment points. Growth modeling methods offer researchers a
true means to assess change over time as compared with
cruder methods like difference scores and residualized
change scores. Then comes a discussion of mediation and
moderation, two tools that can be used to elucidate devel¬
opmental processes. Because so much developmental
science is non-experimental, we include a chapter on selection
bias that compares five modeling strategies. Proper attention
to data management, measurement, missing data, growth
modeling (whenever possible), mediation and moderation,
and potential selection bias is guaranteed to result in greater
precision in inference-making. Even when researchers make
good decisions about methods, it is critical for them to use
good judgment about the practical importance of findings,
so we conclude with this important discussion. We view this
monograph as a first step to getting quantitative researchers
started and we believe this reference will help researchers
make better-informed decisions about methodology.
CONTENTS
EDITORS PREFACE
INTRODUCTION TO THE MONOGRAPH
I. DATA MANAGEMENT: RECOMMENDED PRACTICES
II. MEASUREMENT ISSUES AND PSYCHOMETRICS METHODS
IN DEVELOPMENTAL RESEARCH
III. MISSING DATA: WHAT TO DO WITH OR WITHOUT THEM
IV. GROWTH CURVE ANALYSIS: AN INTRODUCTION TO VARIOUS
METHODS FOR ANALYZING LONGITUDINAL DATA
V. CONTEMPORARY ADVANCES AND CLASSIC ADVICE FOR
ANALYZING MEDIATING AND MODERATING VARIABLES
VI. SELECTION, DETECTION, AND REFLECTION
VII.
CONTRIBUTORS
STATEMENT OF EDITORIAL POLICY
|
| adam_txt |
The role of quantitative methods in testing developmental
hypotheses is widely recognized, yet even very experienced
quantitative researchers often lack the knowledge required
for good decision-making on methodology. The end result is
a disconnect between research and practice in methods. The
purpose of this monograph is to fill a gap in the literature by
offering a series of overviews on common data-analytic
issues of particular interest to researchers in child develop¬
ment. Our hope is that this monograph will make already
developed methods accessible to developmentalists so they
can understand and use them in their research. We start at
the beginning with chapters on data management and
measurement, two neglected topics in methods training
despite the fact that every investigation should begin with
proper consideration of each. We follow with two important
topics for developmental research, missing data and growth
modeling. Missing data can plague developmental work
because participants sometimes miss one or more assess¬
ment points. Growth modeling methods offer researchers a
true means to assess change over time as compared with
cruder methods like difference scores and residualized
change scores. Then comes a discussion of mediation and
moderation, two tools that can be used to elucidate devel¬
opmental processes. Because so much developmental
science is non-experimental, we include a chapter on selection
bias that compares five modeling strategies. Proper attention
to data management, measurement, missing data, growth
modeling (whenever possible), mediation and moderation,
and potential selection bias is guaranteed to result in greater
precision in inference-making. Even when researchers make
good decisions about methods, it is critical for them to use
good judgment about the practical importance of findings,
so we conclude with this important discussion. We view this
monograph as a first step to getting quantitative researchers
started and we believe this reference will help researchers
make better-informed decisions about methodology.
CONTENTS
EDITORS' PREFACE
INTRODUCTION TO THE MONOGRAPH
I. DATA MANAGEMENT: RECOMMENDED PRACTICES
II. MEASUREMENT ISSUES AND PSYCHOMETRICS METHODS
IN DEVELOPMENTAL RESEARCH
III. MISSING DATA: WHAT TO DO WITH OR WITHOUT THEM
IV. GROWTH CURVE ANALYSIS: AN INTRODUCTION TO VARIOUS
METHODS FOR ANALYZING LONGITUDINAL DATA
V. CONTEMPORARY ADVANCES AND CLASSIC ADVICE FOR
ANALYZING MEDIATING AND MODERATING VARIABLES
VI. SELECTION, DETECTION, AND REFLECTION
VII.
CONTRIBUTORS
STATEMENT OF EDITORIAL POLICY |
| any_adam_object | 1 |
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| author | McCartney, Kathleen Burchinal, Margaret R. Bub, Kristen L. |
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| discipline | Soziologie Psychologie |
| discipline_str_mv | Soziologie Psychologie |
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| language | English |
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| physical | IX, 150 S. graph. Darst. |
| publishDate | 2006 |
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| series | Monographs of the Society for Research in Child Development |
| series2 | Monographs of the Society for Research in Child Development |
| spelling | McCartney, Kathleen Verfasser aut Best practices in quantitative methods for developmentalists Kathleen McCartney ; Margaret R. Burchinal ; Kristen L. Bub Boston, Mass. [u.a.] Blackwell 2006 IX, 150 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Monographs of the Society for Research in Child Development 285 = 71,3 child development eet psihometrija ept psychometry eet raziskovalna metoda ept razvoj otroka ept research method eet Entwicklungspsychologie (DE-588)4014963-8 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Entwicklungspsychologie (DE-588)4014963-8 s Quantitative Methode (DE-588)4232139-6 s DE-604 Burchinal, Margaret R. Verfasser aut Bub, Kristen L. Verfasser aut Monographs of the Society for Research in Child Development 285 = 71,3 (DE-604)BV035610473 285 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015439948&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015439948&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | McCartney, Kathleen Burchinal, Margaret R. Bub, Kristen L. Best practices in quantitative methods for developmentalists Monographs of the Society for Research in Child Development child development eet psihometrija ept psychometry eet raziskovalna metoda ept razvoj otroka ept research method eet Entwicklungspsychologie (DE-588)4014963-8 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| subject_GND | (DE-588)4014963-8 (DE-588)4232139-6 |
| title | Best practices in quantitative methods for developmentalists |
| title_auth | Best practices in quantitative methods for developmentalists |
| title_exact_search | Best practices in quantitative methods for developmentalists |
| title_exact_search_txtP | Best practices in quantitative methods for developmentalists |
| title_full | Best practices in quantitative methods for developmentalists Kathleen McCartney ; Margaret R. Burchinal ; Kristen L. Bub |
| title_fullStr | Best practices in quantitative methods for developmentalists Kathleen McCartney ; Margaret R. Burchinal ; Kristen L. Bub |
| title_full_unstemmed | Best practices in quantitative methods for developmentalists Kathleen McCartney ; Margaret R. Burchinal ; Kristen L. Bub |
| title_short | Best practices in quantitative methods for developmentalists |
| title_sort | best practices in quantitative methods for developmentalists |
| topic | child development eet psihometrija ept psychometry eet raziskovalna metoda ept razvoj otroka ept research method eet Entwicklungspsychologie (DE-588)4014963-8 gnd Quantitative Methode (DE-588)4232139-6 gnd |
| topic_facet | child development psihometrija psychometry raziskovalna metoda razvoj otroka research method Entwicklungspsychologie Quantitative Methode |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015439948&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015439948&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035610473 |
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